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ORCIDPheng-Ann Heng
PhengAnn Heng
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- affiliation: Chinese University of Hong Kong, Hong Kong
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2020 – today
- 2025
[j264]Chengjian Xu
, Yonghao Song, Qingqing Zheng, Qiong Wang, Pheng-Ann Heng:
Unsupervised multi-source domain adaptation via contrastive learning for EEG classification. Expert Syst. Appl. 261: 125452 (2025)- [j263]Tianwei Zhang, Kang Li, Shi Gu, Pheng-Ann Heng:
Enhancing source-free domain adaptation in Medical Image Segmentation via regulated model self-training. Medical Image Anal. 102: 103543 (2025) - [j262]Hongrui Zhang, Yi Xie, Haoquan Zhang, Cheng Xu, Xuandi Luo, Donglei Chen, Xuemiao Xu, Huaidong Zhang, Pheng-Ann Heng, Shengfeng He:
Unambiguous granularity distillation for asymmetric image retrieval. Neural Networks 187: 107303 (2025) - [j261]Xikai Yang, Jian Wu, Xi Wang, Yuchen Yuan, Jinpeng Li, Guangyong Chen, Ning Li Wang, Pheng-Ann Heng:
Multi-Scale Spatio-Temporal Transformer-Based Imbalanced Longitudinal Learning for Glaucoma Forecasting From Irregular Time Series Images. IEEE J. Biomed. Health Informatics 29(4): 2859-2870 (2025) - [j260]Jialun Pei, Diandian Guo, Jingyang Zhang, Manxi Lin, Yueming Jin, Pheng-Ann Heng:
S²Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR. IEEE Trans. Medical Imaging 44(1): 361-372 (2025) - [j259]Jingyang Zhang, Jialun Pei, Dunyuan Xu, Yueming Jin, Pheng-Ann Heng:
DC²T: Disentanglement-Guided Consolidation and Consistency Training for Semi-Supervised Cross-Site Continual Segmentation. IEEE Trans. Medical Imaging 44(2): 903-914 (2025) - [j258]Yuchen Yuan, Xi Wang, Xikai Yang, Pheng-Ann Heng:
Effective Semi-Supervised Medical Image Segmentation With Probabilistic Representations and Prototype Learning. IEEE Trans. Medical Imaging 44(3): 1181-1193 (2025) - [j257]Jiacheng Liu, Xu Li, Feilong Tang, Peng Li, Long Chen, Jiadi Yu, Yanmin Zhu, Pheng-Ann Heng, Laurence T. Yang:
An Adaptive and Interpretable Congestion Control Service Based on Multi-Objective Reinforcement Learning. IEEE Trans. Serv. Comput. 18(2): 586-602 (2025) - [j256]Bo Qian, Xiangning Wang, Zhouyu Guan, Dawei Yang, An-ran Ran, Tingyao Li, Zheyuan Wang, Yang Wen, Xinming Shu, Jinyang Xie, Shichang Liu, Guanyu Xing, Julio Silva-Rodríguez, Riadh Kobbi, Ping Li, Tingli Chen, Lei Bi, Jinman Kim, Weiping Jia, Huating Li, Jing Qin, Ping Zhang, Ching-Yu Cheng, Pheng-Ann Heng, Tien Yin Wong, Carol Y. Cheung, Yih-Chung Tham, Nadia Magnenat-Thalmann, Bin Sheng:
HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images. Vis. Comput. 41(2): 1061-1077 (2025) - [c293]Diandian Guo, Weixin Si, Zhixi Li, Jialun Pei, Pheng-Ann Heng:
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resection with Pringle Maneuver. AAAI 2025: 3220-3228 - [c292]Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding. AAAI 2025: 7744-7752 - [c291]Shi Qiu, Binzhu Xie, Qixuan Liu, Pheng-Ann Heng:
Advancing Extended Reality with 3D Gaussian Splatting: Innovations and Prospects. AIxVR 2025: 203-208 - [c290]Yuqi Tong, Yue Qiu, Ruiyang Li, Shi Qiu, Pheng-Ann Heng:
MS2Mesh-XR: Multi-Modal Sketch-to-Mesh Generation in XR Environments. AIxVR 2025: 272-276 - [c289]Shi Qiu, Binzhu Xie, Qixuan Liu, Pheng-Ann Heng:
Creating Virtual Environments with 3D Gaussian Splatting: A Comparative Study. VR Workshops 2025: 1332-1333 - [c288]Yue Qiu, Yuqi Tong, Yu Zhang, Qixuan Liu, Jialun Pei, Shi Qiu, Pheng-Ann Heng, Chi-Wing Fu:
CvhSlicer 2.0: Immersive and Interactive Visualization of Chinese Visible Human Data in XR Environments. VR Workshops 2025: 1354-1355 - [i209]Shi Qiu, Binzhu Xie, Qixuan Liu, Pheng-Ann Heng:
Creating Virtual Environments with 3D Gaussian Splatting: A Comparative Study. CoRR abs/2501.09302 (2025) - [i208]Wailing Tang, Biqi Yang, Pheng-Ann Heng, Yun-Hui Liu, Chi-Wing Fu:
Overcoming Support Dilution for Robust Few-shot Semantic Segmentation. CoRR abs/2501.13529 (2025) - [i207]Ziyu Guo, Renrui Zhang, Chengzhuo Tong, Zhizheng Zhao, Peng Gao, Hongsheng Li, Pheng-Ann Heng:
Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step. CoRR abs/2501.13926 (2025) - [i206]Yiyi Zhang, Xingyu Chen, Kexin Chen, Yuyang Du, Xilin Dang, Pheng-Ann Heng:
The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility? CoRR abs/2501.13952 (2025) - [i205]Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng:
Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. CoRR abs/2502.02018 (2025) - [i204]Qiao Yan, Yuchen Yuan, Xiaowei Hu, Yihan Wang, Jiaqi Xu, Jinpeng Li, Chi-Wing Fu, Pheng-Ann Heng:
MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models. CoRR abs/2502.20780 (2025) - [i203]Ziyu Guo, Ray Zhang, Hao Chen, Jialin Gao, Dongzhi Jiang, Jiaze Wang, Pheng-Ann Heng:
SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems. CoRR abs/2503.10627 (2025) - [i202]Jiaming Liu, Hao Chen, Pengju An, Zhuoyang Liu, Renrui Zhang, Chenyang Gu, Xiaoqi Li, Ziyu Guo, Sixiang Chen, Mengzhen Liu, Chengkai Hou, Mengdi Zhao, KC alex Zhou, Pheng-Ann Heng, Shanghang Zhang:
HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model. CoRR abs/2503.10631 (2025) - [i201]Yinqiao Wang, Hao Xu, Pheng-Ann Heng, Chi-Wing Fu:
UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation. CoRR abs/2503.13303 (2025) - [i200]Runsong Zhu, Shi Qiu, Zhengzhe Liu, Ka-Hei Hui, Qianyi Wu, Pheng-Ann Heng, Chi-Wing Fu:
Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting. CoRR abs/2503.14029 (2025) - [i199]Weihong Chen, Xuemiao Xu, Haoxin Yang, Yi Xie, Peng Xiao, Cheng Xu, Huaidong Zhang, Pheng-Ann Heng:
SCJD: Sparse Correlation and Joint Distillation for Efficient 3D Human Pose Estimation. CoRR abs/2503.14097 (2025) - [i198]Yue Qiu, Yuqi Tong, Yu Zhang, Qixuan Liu, Jialun Pei, Shi Qiu, Pheng-Ann Heng, Chi-Wing Fu:
CvhSlicer 2.0: Immersive and Interactive Visualization of Chinese Visible Human Data in XR Environments. CoRR abs/2503.15507 (2025) - [i197]Jialun Pei, Zhangjun Zhou, Diandian Guo, Zhixi Li, Jing Qin, Bo Du, Pheng-Ann Heng:
Synergistic Bleeding Region and Point Detection in Surgical Videos. CoRR abs/2503.22174 (2025) - 2024
- [j255]Rongzhuo Long, Ziyu Guo, Da Han, Boxiang Liu, Xudong Yuan, Guangyong Chen, Pheng-Ann Heng, Liang Zhang:
siRNADiscovery: a graph neural network for siRNA efficacy prediction via deep RNA sequence analysis. Briefings Bioinform. 25(6) (2024) - [j254]Cheng Chen, Juzheng Miao, Dufan Wu, Aoxiao Zhong, Zhiling Yan, Sekeun Kim, Jiang Hu, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li:
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. Medical Image Anal. 98: 103310 (2024) - [j253]Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou:
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation. Medical Image Anal. 98: 103324 (2024) - [j252]Rui Cao, Biqi Yang, Yichuan Li, Chi-Wing Fu, Pheng-Ann Heng, Yun-Hui Liu:
Uncertainty-Aware Suction Grasping for Cluttered Scenes. IEEE Robotics Autom. Lett. 9(6): 4934-4941 (2024) - [j251]Jia-Hui Pan, Xiaojie Gao, Ka-Hei Hui, Shize Zhu, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu:
PPN-Pack: Placement Proposal Network for Efficient Robotic Bin Packing. IEEE Robotics Autom. Lett. 9(6): 5086-5093 (2024) - [j250]Long Lei, Baoliang Zhao, Xiaozhi Qi, Rui Mi, Hai Ye, Peng Zhang, Qiong Wang, Pheng-Ann Heng, Ying Hu:
Robotic Needle Insertion With 2D Ultrasound-3D CT Fusion Guidance. IEEE Trans Autom. Sci. Eng. 21(4): 6152-6164 (2024) - [j249]Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He:
G²Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors. IEEE Trans. Inf. Forensics Secur. 19: 8773-8785 (2024) - [j248]Caizi Li, Yaoqian Li, Ruiqiang Liu, Guangsuo Wang, Jianping Lv, Yueming Jin, Weixin Si, Pheng-Ann Heng:
Structural and Pixel Relation Modeling for Semisupervised Instrument Segmentation From Surgical Videos. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j247]Jialun Pei, Tao Jiang, He Tang, Nian Liu, Yueming Jin, Deng-Ping Fan, Pheng-Ann Heng:
CalibNet: Dual-Branch Cross-Modal Calibration for RGB-D Salient Instance Segmentation. IEEE Trans. Image Process. 33: 4348-4362 (2024) - [j246]Zhenghao Xing, Tianyu Wang, Xiaowei Hu, Haoran Wu, Chi-Wing Fu, Pheng-Ann Heng:
Video Instance Shadow Detection Under the Sun and Sky. IEEE Trans. Image Process. 33: 5715-5726 (2024) - [j245]Hanqun Cao, Cheng Tan, Zhangyang Gao, Yilun Xu, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. 36(7): 2814-2830 (2024) - [j244]Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images. IEEE Trans. Medical Imaging 43(5): 1972-1982 (2024) - [j243]Kang Li, Yu Zhu, Lequan Yu, Pheng-Ann Heng:
A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation. IEEE Trans. Medical Imaging 43(6): 2279-2290 (2024) - [j242]Yuhan Zhang, Xiao Ma, Kun Huang, Mingchao Li, Pheng-Ann Heng:
Semantic-Oriented Visual Prompt Learning for Diabetic Retinopathy Grading on Fundus Images. IEEE Trans. Medical Imaging 43(8): 2960-2969 (2024) - [j241]Yang Tian, Hualong Bai, Shengdong Zhao, Chi-Wing Fu, Chun Yu, Haozhao Qin, Qiong Wang, Pheng-Ann Heng:
Kine-Appendage: Enhancing Freehand VR Interaction Through Transformations of Virtual Appendages. IEEE Trans. Vis. Comput. Graph. 30(7): 3298-3313 (2024) - [c287]Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
PointPatchMix: Point Cloud Mixing with Patch Scoring. AAAI 2024: 5686-5694 - [c286]Yinqiao Wang, Hao Xu, Pheng-Ann Heng, Chi-Wing Fu:
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation. AAAI 2024: 5704-5712 - [c285]Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng:
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. AAAI 2024: 7802-7810 - [c284]Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. AAAI 2024: 15456-15465 - [c283]Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. AAAI 2024: 16587-16595 - [c282]Kaixiang Yang, Wenqi Shan, Xudong Li, Xuan Wang, Xikai Yang, Xi Wang, Pheng-Ann Heng, Qiang Li, Zhiwei Wang:
Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation. BIBM 2024: 3897-3902 - [c281]Runsong Zhu, Shi Qiu, Qianyi Wu, Ka-Hei Hui, Pheng-Ann Heng, Chi-Wing Fu:
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion. ECCV (2) 2024: 92-108 - [c280]Jiaqi Xu, Mengyang Wu, Xiaohu You, Chi-Wing Fu, Qi Dou, Pheng-Ann Heng:
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models. ECCV (18) 2024: 147-164 - [c279]Jiacheng Liu, Peng Tang, Xiaofeng Hou, Chao Li, Pheng-Ann Heng:
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters. EMNLP (Findings) 2024: 9211-9225 - [c278]Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. ICML 2024 - [c277]Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. ICRA 2024: 10772-10778 - [c276]Calvin Chan, Qingqing Zheng, Chengjian Xu, Qiong Wang, Pheng-Ann Heng:
Adaptive Federated Learning for EEG Emotion Recognition. IJCNN 2024: 1-8 - [c275]Wei Li, Jingyang Zhang, Pheng-Ann Heng, Lixu Gu:
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting. MICCAI (8) 2024: 80-90 - [c274]Jialun Pei, Ruize Cui, Yaoqian Li, Weixin Si, Jing Qin, Pheng-Ann Heng:
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection. MICCAI (6) 2024: 154-164 - [c273]Yuhan Zhang, Kun Huang, Xikai Yang, Xiao Ma, Jian Wu, Ningli Wang, Xi Wang, Pheng-Ann Heng:
Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images. MICCAI (5) 2024: 166-176 - [c272]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. MICCAI (11) 2024: 167-177 - [c271]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. MICCAI (11) 2024: 297-307 - [c270]Shoujin Huang, Guanxiong Luo, Xi Wang, Ziran Chen, Yuwan Wang, Huaishui Yang, Pheng-Ann Heng, Lingyan Zhang, Mengye Lyu:
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI. MICCAI (7) 2024: 498-508 - [c269]Yuan Zhong, Chenhui Tang, Yumeng Yang, Ruoxi Qi, Kang Zhou, Yuqi Gong, Pheng-Ann Heng, Janet H. Hsiao, Qi Dou:
Weakly-Supervised Medical Image Segmentation with Gaze Annotations. MICCAI (3) 2024: 530-540 - [c268]Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng:
Epicardium Prompt-Guided Real-Time Cardiac Ultrasound Frame-to-Volume Registration. MICCAI (2) 2024: 618-628 - [c267]Diandian Guo, Manxi Lin, Jialun Pei, He Tang, Yueming Jin, Pheng-Ann Heng:
Tri-Modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms. MICCAI (6) 2024: 714-724 - [c266]Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam:
Unveiling the Generalization Power of Fine-Tuned Large Language Models. NAACL-HLT 2024: 884-899 - [c265]Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Yang Yu, Junqiao Zhao, Pheng-Ann Heng:
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning. NeurIPS 2024 - [c264]Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng:
Neural P3M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs. NeurIPS 2024 - [c263]Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Qiong Wang, Bian Wu, Guangyong Chen, Pheng-Ann Heng:
DPPMask: Masked Image Modeling with Determinantal Point Processes. WACV 2024: 2255-2265 - [c262]Runsong Zhu, Di Kang, Ka-Hei Hui, Yue Qian, Shi Qiu, Zhen Dong, Linchao Bao, Pheng-Ann Heng, Chi-Wing Fu:
SSP: Semi-signed prioritized neural fitting for surface reconstruction from unoriented point clouds. WACV 2024: 3757-3766 - [i196]Dunyuan Xu, Xi Wang, Jinyue Cai, Pheng-Ann Heng:
Cross-modality Guidance-aided Multi-modal Learning with Dual Attention for MRI Brain Tumor Grading. CoRR abs/2401.09029 (2024) - [i195]Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng:
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. CoRR abs/2401.11674 (2024) - [i194]Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning. CoRR abs/2401.11847 (2024) - [i193]Yinqiao Wang, Hao Xu, Pheng-Ann Heng, Chi-Wing Fu:
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation. CoRR abs/2402.01389 (2024) - [i192]Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Junqiao Zhao, Pheng-Ann Heng:
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning. CoRR abs/2402.02429 (2024) - [i191]Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen:
An Autonomous Large Language Model Agent for Chemical Literature Data Mining. CoRR abs/2402.12993 (2024) - [i190]Xikai Yang, Jian Wu, Xi Wang, Yuchen Yuan, Ningli Wang, Pheng-Ann Heng:
Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images. CoRR abs/2402.13475 (2024) - [i189]Jialun Pei, Diandian Guo, Jingyang Zhang, Manxi Lin, Yueming Jin, Pheng-Ann Heng:
S^2Former-OR: Single-Stage Bimodal Transformer for Scene Graph Generation in OR. CoRR abs/2402.14461 (2024) - [i188]Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery. CoRR abs/2402.16664 (2024) - [i187]Shoujin Huang, Guanxiong Luo, Xi Wang, Ziran Chen, Yuwan Wang, Huaishui Yang, Pheng-Ann Heng, Lingyan Zhang, Mengye Lyu:
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI. CoRR abs/2403.05245 (2024) - [i186]Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam:
Unveiling the Generalization Power of Fine-Tuned Large Language Models. CoRR abs/2403.09162 (2024) - [i185]Diandian Guo, Manxi Lin, Jialun Pei, He Tang, Yueming Jin, Pheng-Ann Heng:
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms. CoRR abs/2404.09231 (2024) - [i184]Hai Zhang, Boyuan Zheng, Anqi Guo, Tianying Ji, Pheng-Ann Heng, Junqiao Zhao, Lanqing Li:
Scrutinize What We Ignore: Reining Task Representation Shift In Context-Based Offline Meta Reinforcement Learning. CoRR abs/2405.12001 (2024) - [i183]Jiaze Wang, Yi Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
TripletMix: Triplet Data Augmentation for 3D Understanding. CoRR abs/2405.18523 (2024) - [i182]Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bowen Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, Pheng-Ann Heng:
SFANet: Spatial-Frequency Attention Network for Weather Forecasting. CoRR abs/2405.18849 (2024) - [i181]Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin, Jeremy Yuen-Chun Teoh, Jing Qin, Pheng-Ann Heng:
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration. CoRR abs/2406.14534 (2024) - [i180]Jialun Pei, Ruize Cui, Yaoqian Li, Weixin Si, Jing Qin, Pheng-Ann Heng:
Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection. CoRR abs/2406.17858 (2024) - [i179]Wei Li, Jingyang Zhang, Pheng-Ann Heng, Lixu Gu:
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting. CoRR abs/2406.19796 (2024) - [i178]Haiqiao Wang, Hong Wu, Zhuoyuan Wang, Peiyan Yue, Dong Ni, Pheng-Ann Heng, Yi Wang:
A Review of Image Processing Methods in Prostate Ultrasound. CoRR abs/2407.00678 (2024) - [i177]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. CoRR abs/2407.05412 (2024) - [i176]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. CoRR abs/2407.05416 (2024) - [i175]Yuan Zhong, Chenhui Tang, Yumeng Yang, Ruoxi Qi, Kang Zhou, Yuqi Gong, Pheng-Ann Heng, Janet H. Hsiao, Qi Dou:
Weakly-supervised Medical Image Segmentation with Gaze Annotations. CoRR abs/2407.07406 (2024) - [i174]Shaoning Li, Mingyu Li, Yusong Wang, Xinheng He, Nanning Zheng, Jian Zhang, Pheng-Ann Heng:
Improving AlphaFlow for Efficient Protein Ensembles Generation. CoRR abs/2407.12053 (2024) - [i173]Kaixiang Yang, Wenqi Shan, Xudong Li, Xuan Wang, Xikai Yang, Xi Wang, Pheng-Ann Heng, Qiang Li, Zhiwei Wang:
Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation. CoRR abs/2408.08708 (2024) - [i172]Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He:
G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors. CoRR abs/2408.09458 (2024) - [i171]Diandian Guo, Weixin Si, Zhixi Li, Jialun Pei, Pheng-Ann Heng:
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle Maneuver. CoRR abs/2408.10538 (2024) - [i170]Ziyu Guo, Renrui Zhang, Xiangyang Zhu, Chengzhuo Tong, Peng Gao, Chunyuan Li, Pheng-Ann Heng:
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners. CoRR abs/2408.16768 (2024) - [i169]Jiaqi Xu, Mengyang Wu, Xiaowei Hu, Chi-Wing Fu, Qi Dou, Pheng-Ann Heng:
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models. CoRR abs/2409.02101 (2024) - [i168]Xiaowei Hu, Zhenghao Xing, Tianyu Wang, Chi-Wing Fu, Pheng-Ann Heng:
Unveiling Deep Shadows: A Survey on Image and Video Shadow Detection, Removal, and Generation in the Era of Deep Learning. CoRR abs/2409.02108 (2024) - [i167]Chunbin Gu, Mutian He, Hanqun Cao, Guangyong Chen, Chang-Yu Hsieh, Pheng-Ann Heng:
Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries. CoRR abs/2409.05916 (2024) - [i166]Rui Cao, Chuanxin Song, Biqi Yang, Jiangliu Wang, Pheng-Ann Heng, Yun-Hui Liu:
Adapting Segment Anything Model for Unseen Object Instance Segmentation. CoRR abs/2409.15481 (2024) - [i165]Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng:
Neural P3M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs. CoRR abs/2409.17622 (2024) - [i164]Runsong Zhu, Shi Qiu, Qianyi Wu, Ka-Hei Hui, Pheng-Ann Heng, Chi-Wing Fu:
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion. CoRR abs/2410.10659 (2024) - [i163]Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng:
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models. CoRR abs/2410.13370 (2024) - [i162]Hanqun Cao, Chunbin Gu, Mutian He, Ning Ma, Chang-Yu Hsieh, Pheng-Ann Heng:
DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries. CoRR abs/2410.14946 (2024) - [i161]Xinyi Zhou, Xing Li, Yingzhao Lian, Yiwen Wang, Lei Chen, Mingxuan Yuan, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation. CoRR abs/2410.16119 (2024) - [i160]Peng Tang, Jiacheng Liu, Xiaofeng Hou, Yifei Pu, Jing Wang, Pheng-Ann Heng, Chao Li, Minyi Guo:
HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inference. CoRR abs/2411.01433 (2024) - [i159]Yi Wang, Jiaze Wang, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
Point Cloud Understanding via Attention-Driven Contrastive Learning. CoRR abs/2411.14744 (2024) - [i158]Shi Qiu, Binzhu Xie, Qixuan Liu, Pheng-Ann Heng:
Advancing Extended Reality with 3D Gaussian Splatting: Innovations and Prospects. CoRR abs/2412.06257 (2024) - [i157]Yuqi Tong, Yue Qiu, Ruiyang Li, Shi Qiu, Pheng-Ann Heng:
MS2Mesh-XR: Multi-modal Sketch-to-Mesh Generation in XR Environments. CoRR abs/2412.09008 (2024) - [i156]Jiacheng Liu, Peng Tang, Wenfeng Wang, Yuhang Ren, Xiaofeng Hou, Pheng-Ann Heng, Minyi Guo, Chao Li:
A Survey on Inference Optimization Techniques for Mixture of Experts Models. CoRR abs/2412.14219 (2024) - 2023
- [j240]Mian Wu, Yinling Qian, Xiangyun Liao, Qiong Wang, Pheng-Ann Heng:
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention. BMC Medical Imaging 23(1): 91 (2023) - [j239]Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Ercheng Wang, Tingjun Hou, Pheng-Ann Heng:
MetaRF: attention-based random forest for reaction yield prediction with a few trails. J. Cheminformatics 15(1): 43 (2023) - [j238]Caizi Li, Ruiqiang Liu, Huan-Xin Zhong, Jun-Ming Fan, Wei-Xin Si, Meng Zhang, Pheng-Ann Heng:
Semi-Supervised Intracranial Aneurysm Segmentation from CTA Images via Weight-Perceptual Self-Ensembling Model. J. Comput. Sci. Technol. 38(3): 674-685 (2023) - [j237]Xi Wang, Fangyao Tang, Hao Chen, Carol Y. Cheung, Pheng-Ann Heng:
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images. Medical Image Anal. 83: 102673 (2023) - [j236]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j235]Martin Wagner, Beat P. Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Carissa Reid, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. 86: 102770 (2023) - [j234]Yuhan Zhang, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification. Medical Image Anal. 86: 102772 (2023) - [j233]Tianyu Wang, Xiaowei Hu, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection With a Single-Stage Detector. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3259-3273 (2023) - [j232]Shan Xu, Huaidong Zhang, Xuemiao Xu, Xiaowei Hu, Yangyang Xu, Liangui Dai, Kup-Sze Choi, Pheng-Ann Heng:
Representative Feature Alignment for Adaptive Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(2): 689-700 (2023) - [j231]Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, Pheng-Ann Heng:
Deep Texture-Aware Features for Camouflaged Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1157-1167 (2023) - [j230]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. IEEE Trans. Cybern. 53(10): 6363-6375 (2023) - [j229]Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. 32: 235-250 (2023) - [j228]Kang Li, Lequan Yu, Pheng-Ann Heng:
Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening. IEEE Trans. Medical Imaging 42(3): 570-581 (2023) - [c261]Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction. CVPR 2023: 3312-3322 - [c260]Zhipeng Zhou, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Wei Gong:
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition. CVPR 2023: 3499-3509 - [c259]Deng-Bao Wang, Lanqing Li, Peilin Zhao, Pheng-Ann Heng, Min-Ling Zhang:
On the Pitfall of Mixup for Uncertainty Calibration. CVPR 2023: 7609-7618 - [c258]Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng:
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. CVPR 2023: 18053-18062 - [c257]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV 2023: 8317-8328 - [c256]Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng:
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. ICCV 2023: 21369-21380 - [c255]Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng:
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. ICML 2023: 7596-7616 - [c254]Biqi Yang, Xiaojie Gao, Xianzhi Li, Yun-Hui Liu, Chi-Wing Fu, Pheng-Ann Heng:
On Improving Boundary Quality of Instance Segmentation in Cluttered and Chaotic Scenarios. ICRA 2023: 9310-9316 - [c253]Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, Pheng-Ann Heng:
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. IJCAI 2023: 791-799 - [c252]Jia-Hui Pan, Ka-Hei Hui, Xiaojie Gao, Shize Zhu, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu:
SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization. IROS 2023: 10612-10619 - [c251]Yuhan Zhang, Ziqi Tang, Dawei Yang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng:
LVCL: Label-Volume Contrastive Learning for Multi-Label Classification of Retinal Oct Volumes. ISBI 2023: 1-5 - [c250]Yuhan Zhang, Kun Huang, Cheng Chen, Qiang Chen, Pheng-Ann Heng:
SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation. MICCAI (2) 2023: 148-158 - [c249]Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. MICCAI (6) 2023: 306-316 - [c248]Yuchen Yuan, Xi Wang, Xikai Yang, Ruijiang Li, Pheng-Ann Heng:
Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation. MICCAI (4) 2023: 459-469 - [c247]Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. MICCAI (5) 2023: 579-589 - [c246]Jialun Pei, Zhangjun Zhou, Yueming Jin, He Tang, Pheng-Ann Heng:
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation. ACM Multimedia 2023: 2139-2147 - [c245]Weiliang Tang, Biqi Yang, Xianzhi Li, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu:
Prototypical Variational Autoencoder for 3D Few-shot Object Detection. NeurIPS 2023 - [c244]Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) 2023: 400-413 - [i155]Ziyu Guo, Xianzhi Li, Pheng-Ann Heng:
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. CoRR abs/2302.14007 (2023) - [i154]Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng:
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. CoRR abs/2303.02045 (2023) - [i153]Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR abs/2303.02875 (2023) - [i152]Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
PointPatchMix: Point Cloud Mixing with Patch Scoring. CoRR abs/2303.06678 (2023) - [i151]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR abs/2303.06697 (2023) - [i150]Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng:
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior. CoRR abs/2303.09757 (2023) - [i149]Yang Yu, Danruo Deng, Furui Liu, Yueming Jin, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning. CoRR abs/2303.12091 (2023) - [i148]Junde Xu, Zikai Lin, Donghao Zhou, Yaodong Yang, Xiangyun Liao, Bian Wu, Guangyong Chen, Pheng-Ann Heng:
DPPMask: Masked Image Modeling with Determinantal Point Processes. CoRR abs/2303.12736 (2023) - [i147]Yanwen Li, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images. CoRR abs/2305.19063 (2023) - [i146]Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images. CoRR abs/2306.13301 (2023) - [i145]Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou:
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation. CoRR abs/2306.13465 (2023) - [i144]Jia-Hui Pan, Ka-Hei Hui, Xiaojie Gao, Shize Zhu, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu:
SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization. CoRR abs/2307.07356 (2023) - [i143]Jialun Pei, Tao Jiang, He Tang, Nian Liu, Yueming Jin, Deng-Ping Fan, Pheng-Ann Heng:
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation. CoRR abs/2307.08098 (2023) - [i142]Jialun Pei, Zhangjun Zhou, Yueming Jin, He Tang, Pheng-Ann Heng:
Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation. CoRR abs/2307.14052 (2023) - [i141]Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen:
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. CoRR abs/2308.12017 (2023) - [i140]Ziyu Guo, Renrui Zhang, Xiangyang Zhu, Yiwen Tang, Xianzheng Ma, Jiaming Han, Kexin Chen, Peng Gao, Xianzhi Li, Hongsheng Li, Pheng-Ann Heng:
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following. CoRR abs/2309.00615 (2023) - [i139]Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li:
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR abs/2309.08842 (2023) - [i138]Biqi Yang, Weiliang Tang, Xiaojie Gao, Xianzhi Li, Yun-Hui Liu, Chi-Wing Fu, Pheng-Ann Heng:
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store. CoRR abs/2311.04645 (2023) - [i137]Kexin Chen, Junyou Li, Kunyi Wang, Yuyang Du, Jiahui Yu, Jiamin Lu, Lanqing Li, Jiezhong Qiu, Qun Fang, Pheng-Ann Heng, Guangyong Chen:
Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis. CoRR abs/2311.10776 (2023) - [i136]Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li:
A Survey of Reasoning with Foundation Models. CoRR abs/2312.11562 (2023) - 2022
- [j227]Yueming Jin, Yonghao Long, Xiaojie Gao, Danail Stoyanov, Qi Dou, Pheng-Ann Heng:
Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis. Int. J. Comput. Assist. Radiol. Surg. 17(12): 2193-2202 (2022) - [j226]Linxia Xiao, Caizi Li, Yanjiang Wang, Weixin Si, Hai Lin, Doudou Zhang, Xiaodong Cai, Pheng-Ann Heng:
Amplitude-frequency-aware deep fusion network for optimal contact selection on STN-DBS electrodes. Sci. China Inf. Sci. 65(4) (2022) - [j225]Sirui He, Yinling Qian, Xin Zhu, Xiangyun Liao, Pheng-Ann Heng, Ziliang Feng, Qiong Wang:
Versatile cutting fracture evolution modeling for deformable object cutting simulation. Comput. Methods Programs Biomed. 219: 106749 (2022) - [j224]Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang:
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network. Medical Image Anal. 75: 102291 (2022) - [j223]Ziyi Wang, Bo Lu, Xiaojie Gao, Yueming Jin, Zerui Wang, Tak Hong Cheung, Pheng-Ann Heng, Qi Dou, Yunhui Liu:
Unsupervised feature disentanglement for video retrieval in minimally invasive surgery. Medical Image Anal. 75: 102296 (2022) - [j222]Kang Li, Lequan Yu, Pheng-Ann Heng:
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references. Medical Image Anal. 78: 102426 (2022) - [j221]Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022) - [j220]Xianzhi Li, Rui Cao, Yidan Feng, Kai Chen, Biqi Yang, Chi-Wing Fu, Yichuan Li, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng:
A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking. IEEE Robotics Autom. Lett. 7(2): 3961-3968 (2022) - [j219]Bo Lu, Bin Li, Wei Chen, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng, Yunhui Liu:
Toward Image-Guided Automated Suture Grasping Under Complex Environments: A Learning-Enabled and Optimization-Based Holistic Framework. IEEE Trans Autom. Sci. Eng. 19(4): 3794-3808 (2022) - [j218]Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng-Ann Heng:
Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. IEEE Trans. Medical Imaging 41(3): 621-632 (2022) - [j217]Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng:
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training. IEEE Trans. Medical Imaging 41(6): 1371-1382 (2022) - [j216]Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov:
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation. IEEE Trans. Medical Imaging 41(11): 2991-3002 (2022) - [j215]Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou:
DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. IEEE Trans. Medical Imaging 41(12): 3575-3586 (2022) - [j214]Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng:
Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4785-4799 (2022) - [j213]Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
A Rotation-Invariant Framework for Deep Point Cloud Analysis. IEEE Trans. Vis. Comput. Graph. 28(12): 4503-4514 (2022) - [j212]Xin Zhu, Yinling Qian, Qiong Wang, Ziliang Feng, Pheng-Ann Heng:
Collision-aware interactive simulation using graph neural networks. Vis. Comput. Ind. Biomed. Art 5(1): 15 (2022) - [c243]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. AAAI 2022: 1756-1764 - [c242]Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng:
LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC 2022: 1297-1302 - [c241]Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. ECCV (24) 2022: 423-440 - [c240]Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. ICCAD 2022: 57:1-57:9 - [c239]Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng:
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. ICRA 2022: 405-411 - [c238]Bin Li, Ruofeng Wei, Jiaqi Xu, Bo Lu, Chi Hang Yee, Chi-Fai Ng, Pheng-Ann Heng, Qi Dou, Yun-Hui Liu:
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery. ICRA 2022: 7664-7670 - [c237]Zixu Zhao, Yueming Jin, Pheng-Ann Heng:
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery. ICRA 2022: 11186-11193 - [c236]Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng:
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. IJCAI 2022: 1088-1094 - [c235]Biqi Yang, Xiaojie Gao, Kai Chen, Rui Cao, Yidan Feng, Xianzhi Li, Qi Dou, Chi-Wing Fu, Yun-Hui Liu, Pheng-Ann Heng:
SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking. IROS 2022: 5987-5994 - [c234]Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng:
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. IROS 2022: 10857-10864 - [c233]Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng:
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. ISBI 2022: 1-5 - [c232]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. MICCAI (3) 2022: 196-206 - [c231]Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng:
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) 2022: 217-226 - [c230]Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans. MICCAI (3) 2022: 238-248 - [c229]Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng:
Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification. MICCAI (8) 2022: 621-631 - [c228]Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng:
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS 2022 - [c227]Jixiu Li, Yisen Huang, Wing Yin Ng, Truman Cheng, Xixin Wu, Qi Dou, Helen Meng, Pheng-Ann Heng, Yunhui Liu, Shannon Melissa Chan, David Navarro-Alarcon, Calvin Sze Hang Ng, Philip Wai Yan Chiu, Zheng Li:
Speech-Vision Based Multi-Modal AI Control of a Magnetic Anchored and Actuated Endoscope. ROBIO 2022: 403-408 - [i135]Zixu Zhao, Yueming Jin, Pheng-Ann Heng:
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery. CoRR abs/2202.08453 (2022) - [i134]Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng:
Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking. CoRR abs/2203.02767 (2022) - [i133]Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng:
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification. CoRR abs/2203.09860 (2022) - [i132]Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng:
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction. CoRR abs/2203.12831 (2022) - [i131]Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov:
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation. CoRR abs/2203.15251 (2022) - [i130]Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels. CoRR abs/2203.16219 (2022) - [i129]Bin Li, Ruofeng Wei, Jiaqi Xu, Bo Lu, Chi Hang Yee, Chi-Fai Ng, Pheng-Ann Heng, Qi Dou, Yun-Hui Liu:
3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery. CoRR abs/2204.03195 (2022) - [i128]Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng:
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training. CoRR abs/2205.04723 (2022) - [i127]Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou:
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images. CoRR abs/2205.13723 (2022) - [i126]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. CoRR abs/2206.13079 (2022) - [i125]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary. CoRR abs/2206.14467 (2022) - [i124]Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans. CoRR abs/2207.01842 (2022) - [i123]Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng:
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. CoRR abs/2207.03917 (2022) - [i122]Tianyu Wang, Xiaowei Hu, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection with A Single-Stage Detector. CoRR abs/2207.04614 (2022) - [i121]Yang Yu, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng:
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. CoRR abs/2207.09664 (2022) - [i120]Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Pheng-Ann Heng:
MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails. CoRR abs/2208.10083 (2022) - [i119]Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Model. CoRR abs/2209.02646 (2022) - [i118]Chen Liang, Bowen Wang, Shaogang Hao, Guangyong Chen, Pheng-Ann Heng, Xiaolong Zou:
Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction. CoRR abs/2209.07300 (2022) - [i117]Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng:
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR abs/2209.07921 (2022) - [i116]Kang Li, Lequan Yu, Pheng-Ann Heng:
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening. CoRR abs/2211.04862 (2022) - [i115]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19. CoRR abs/2211.05548 (2022) - [i114]Zhenghao Xing, Tianyu Wang, Xiaowei Hu, Haoran Wu, Chi-Wing Fu, Pheng-Ann Heng:
Video Instance Shadow Detection. CoRR abs/2211.12827 (2022) - [i113]Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction. CoRR abs/2212.10066 (2022) - 2021
- [j211]Linxia Xiao, Caizi Li, Yanjiang Wang, Weixin Si, Doudou Zhang, Hai Lin, Xiaodong Cai, Pheng-Ann Heng:
Automatic identification of sweet spots from MERs for electrodes implantation in STN-DBS. Int. J. Comput. Assist. Radiol. Surg. 16(5): 809-818 (2021) - [j210]Ruotong Li, Yuqi Tong, Tianpei Yang, Jianxi Guo, Weixin Si, Yanfang Zhang, Reinhard Klein, Pheng-Ann Heng:
Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality. Comput. Medical Imaging Graph. 90: 101905 (2021) - [j209]Ruotong Li, Yangyang Shi, Weixin Si, Li Huang, Bowen Zhuang, Michael Weinmann, Reinhard Klein, Pheng-Ann Heng:
Versatile multi-constrained planning for thermal ablation of large liver tumors. Comput. Medical Imaging Graph. 94: 101993 (2021) - [j208]Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Jichao Zhao:
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Anal. 67: 101832 (2021) - [j207]Huangjing Lin, Hao Chen, Xi Wang, Qiong Wang, Liansheng Wang, Pheng-Ann Heng:
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis. Medical Image Anal. 69: 101955 (2021) - [j206]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein:
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. 70: 101920 (2021) - [j205]Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, Pheng-Ann Heng:
Global guidance network for breast lesion segmentation in ultrasound images. Medical Image Anal. 70: 101989 (2021) - [j204]Xi Wang, Hao Chen, Huiling Xiang, Huangjing Lin, Xi Lin, Pheng-Ann Heng:
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification. Medical Image Anal. 70: 102010 (2021) - [j203]Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition. Medical Image Anal. 73: 102158 (2021) - [j202]Zixu Zhao, Yueming Jin, Junming Chen, Bo Lu, Chi-Fai Ng, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng:
Anchor-guided online meta adaptation for fast one-Shot instrument segmentation from robotic surgical videos. Medical Image Anal. 74: 102240 (2021) - [j201]Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 4 (2021) - [j200]Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Tianyu Wang, Pheng-Ann Heng:
SAC-Net: Spatial Attenuation Context for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1079-1090 (2021) - [j199]Lei Zhu, Zijun Deng, Xiaowei Hu, Haoran Xie, Xuemiao Xu, Jing Qin, Pheng-Ann Heng:
Learning Gated Non-Local Residual for Single-Image Rain Streak Removal. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2147-2159 (2021) - [j198]Qingqing Zheng, Yi Wang, Pheng-Ann Heng:
Multitask Feature Learning Meets Robust Tensor Decomposition for EEG Classification. IEEE Trans. Cybern. 51(4): 2242-2252 (2021) - [j197]Xiaowei Hu, Lei Zhu, Tianyu Wang, Chi-Wing Fu, Pheng-Ann Heng:
Single-Image Real-Time Rain Removal Based on Depth-Guided Non-Local Features. IEEE Trans. Image Process. 30: 1759-1770 (2021) - [j196]Xiaowei Hu, Tianyu Wang, Chi-Wing Fu, Yitong Jiang, Qiong Wang, Pheng-Ann Heng:
Revisiting Shadow Detection: A New Benchmark Dataset for Complex World. IEEE Trans. Image Process. 30: 1925-1934 (2021) - [j195]Caizi Li, Li Dong, Qi Dou, Fan Lin, Kebao Zhang, Zuxin Feng, Weixin Si, Xuesong Deng, Zhe Deng, Pheng-Ann Heng:
Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation. IEEE J. Biomed. Health Informatics 25(11): 4140-4151 (2021) - [j194]Xuemiao Xu, Tianfei Yu, Xiaowei Hu, Wing W. Y. Ng, Pheng-Ann Heng:
SALMNet: A Structure-Aware Lane Marking Detection Network. IEEE Trans. Intell. Transp. Syst. 22(8): 4986-4997 (2021) - [j193]Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Temporal Memory Relation Network for Workflow Recognition From Surgical Video. IEEE Trans. Medical Imaging 40(7): 1911-1923 (2021) - [j192]Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing:
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis. IEEE Trans. Medical Imaging 40(9): 2284-2294 (2021) - [j191]Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac Segmentation. IEEE Trans. Medical Imaging 40(10): 2771-2782 (2021) - [j190]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng:
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 32(2): 523-534 (2021) - [j189]Xianzhi Li, Ruihui Li, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
DNF-Net: A Deep Normal Filtering Network for Mesh Denoising. IEEE Trans. Vis. Comput. Graph. 27(10): 4060-4072 (2021) - [c226]Xudong Yan, Huaidong Zhang, Xuemiao Xu, Xiaowei Hu, Pheng-Ann Heng:
Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection. AAAI 2021: 3110-3118 - [c225]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. AAAI 2021: 11442-11450 - [c224]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. AAAI 2021: 11451-11461 - [c223]Youtan Yin, Hongzheng Yang, Quande Liu, Meirui Jiang, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. BrainLes@MICCAI (2) 2021: 433-443 - [c222]Tianyu Wang, Xiaowei Hu, Chi-Wing Fu, Pheng-Ann Heng:
Single-Stage Instance Shadow Detection With Bidirectional Relation Learning. CVPR 2021: 1-11 - [c221]Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu:
Point Cloud Upsampling via Disentangled Refinement. CVPR 2021: 344-353 - [c220]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CVPR 2021: 1013-1023 - [c219]Yanning Zhou, Hang Xu, Wei Zhang, Bin Gao, Pheng-Ann Heng:
C3-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set Learning and Dynamic Class-balancing. ICCV 2021: 7016-7025 - [c218]Zixu Zhao, Yueming Jin, Pheng-Ann Heng:
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning. ICCV 2021: 9940-9949 - [c217]Pengfei Chen, Guangyong Chen, Junjie Ye, Jingwei Zhao, Pheng-Ann Heng:
Noise against noise: stochastic label noise helps combat inherent label noise. ICLR 2021 - [c216]Yonghao Long, Jie Ying Wu, Bo Lu, Yueming Jin, Mathias Unberath, Yun-Hui Liu, Pheng-Ann Heng, Qi Dou:
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. ICRA 2021: 13346-13353 - [c215]Zixu Zhao, Yueming Jin, Bo Lu, Chi-Fai Ng, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng:
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video. ICRA 2021: 13553-13559 - [c214]Xiaojie Gao, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Future Frame Prediction for Robot-Assisted Surgery. IPMI 2021: 533-544 - [c213]Jiaqi Xu, Bin Li, Bo Lu, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng:
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning. IROS 2021: 1821-1828 - [c212]Xiaojie Gao, Yueming Jin, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
Accurate Grid Keypoint Learning for Efficient Video Prediction. IROS 2021: 5908-5915 - [c211]Xueying Shi, Yueming Jin, Qi Dou, Jing Qin, Pheng-Ann Heng:
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment. IROS 2021: 9453-9460 - [c210]Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. MICCAI (2) 2021: 199-209 - [c209]Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. MICCAI (5) 2021: 225-235 - [c208]Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng:
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. MICCAI (3) 2021: 325-335 - [c207]Jiacheng Wang, Yueming Jin, Liansheng Wang, Shuntian Cai, Pheng-Ann Heng, Jing Qin:
Efficient Global-Local Memory for Real-Time Instrument Segmentation of Robotic Surgical Video. MICCAI (4) 2021: 341-351 - [c206]Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays. MICCAI (2) 2021: 537-548 - [c205]Xiaojie Gao, Yueming Jin, Yonghao Long, Qi Dou, Pheng-Ann Heng:
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer. MICCAI (4) 2021: 593-603 - [c204]Guibao Shen, Yingkui Zhang, Jialu Li, Mingqiang Wei, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance. ACM Multimedia 2021: 5222-5230 - [c203]Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng:
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. NeurIPS 2021: 18710-18721 - [i112]Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation. CoRR abs/2101.02375 (2021) - [i111]Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, Pheng-Ann Heng:
Deep Texture-Aware Features for Camouflaged Object Detection. CoRR abs/2102.02996 (2021) - [i110]Xueying Shi, Yueming Jin, Qi Dou, Jing Qin, Pheng-Ann Heng:
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment. CoRR abs/2103.04075 (2021) - [i109]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CoRR abs/2103.06030 (2021) - [i108]Xiaojie Gao, Yueming Jin, Yonghao Long, Qi Dou, Pheng-Ann Heng:
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer. CoRR abs/2103.09712 (2021) - [i107]Xiaojie Gao, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Future Frame Prediction for Robot-assisted Surgery. CoRR abs/2103.10308 (2021) - [i106]Zixu Zhao, Yueming Jin, Bo Lu, Chi-Fai Ng, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng:
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video. CoRR abs/2103.12988 (2021) - [i105]Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Temporal Memory Relation Network for Workflow Recognition from Surgical Video. CoRR abs/2103.16327 (2021) - [i104]Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, PhengAnn Heng:
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images. CoRR abs/2104.01896 (2021) - [i103]Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng:
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. CoRR abs/2104.01975 (2021) - [i102]Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays. CoRR abs/2104.03218 (2021) - [i101]Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. CoRR abs/2104.03225 (2021) - [i100]Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. CoRR abs/2104.03265 (2021) - [i99]Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng:
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. CoRR abs/2104.10553 (2021) - [i98]Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu:
Point Cloud Upsampling via Disentangled Refinement. CoRR abs/2106.04779 (2021) - [i97]Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng:
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. CoRR abs/2106.08600 (2021) - [i96]Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng:
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. CoRR abs/2106.13386 (2021) - [i95]Xiaojie Gao, Yueming Jin, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
Accurate Grid Keypoint Learning for Efficient Video Prediction. CoRR abs/2107.13170 (2021) - [i94]Jiaqi Xu, Bin Li, Bo Lu, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng:
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning. CoRR abs/2108.13035 (2021) - [i93]Yijun Yang, Shujun Wang, Pheng-Ann Heng, Lequan Yu:
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation. CoRR abs/2109.05742 (2021) - [i92]Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. CoRR abs/2109.09735 (2021) - [i91]Zixu Zhao, Yueming Jin, Pheng-Ann Heng:
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning. CoRR abs/2109.13499 (2021) - [i90]Jiacheng Wang, Yueming Jin, Liansheng Wang, Shuntian Cai, Pheng-Ann Heng, Jing Qin:
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video. CoRR abs/2109.13593 (2021) - [i89]Martin Wagner, Beat Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. CoRR abs/2109.14956 (2021) - [i88]Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng:
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. CoRR abs/2110.04593 (2021) - [i87]Mian Wu, Yinling Qian, Xiangyun Liao, Qiong Wang, Pheng-Ann Heng:
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention. CoRR abs/2111.03368 (2021) - [i86]Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang:
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network. CoRR abs/2111.04733 (2021) - 2020
- [j188]Ping Liu, Qi Dou, Qiong Wang, Pheng-Ann Heng:
An Encoder-Decoder Neural Network With 3D Squeeze-and-Excitation and Deep Supervision for Brain Tumor Segmentation. IEEE Access 8: 34029-34037 (2020) - [j187]Chaoyu Chen, Xin Yang, Haoran Dou, Ruobing Huang, Xiaoqiong Huang, Xu Wang, Chong Duan, Shengli Li, Wufeng Xue, Pheng-Ann Heng, Dong Ni:
Bridge Segmentation Performance Gap Via Evolving Shape Prior. IEEE Access 8: 173961-173973 (2020) - [j186]Zhiqi Li, Yingkui Zhang, Yidan Feng, Xingyu Xie, Qiong Wang, Mingqiang Wei, Pheng-Ann Heng:
NormalF-Net: Normal Filtering Neural Network for Feature-preserving Mesh Denoising. Comput. Aided Des. 127: 102861 (2020) - [j185]Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng:
LRTD: long-range temporal dependency based active learning for surgical workflow recognition. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1573-1584 (2020) - [j184]Xiangyun Liao, Yinling Qian, Yilong Chen, Xueying Xiong, Qiong Wang, Pheng-Ann Heng:
MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation. Comput. Medical Imaging Graph. 85: 101785 (2020) - [j183]Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni:
Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes. Comput. Methods Programs Biomed. 194: 105519 (2020) - [j182]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng:
Revisiting metric learning for few-shot image classification. Neurocomputing 406: 49-58 (2020) - [j181]Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Multi-task recurrent convolutional network with correlation loss for surgical video analysis. Medical Image Anal. 59 (2020) - [j180]José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic:
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020) - [j179]Xi Wang, Hao Chen, An-ran Ran, Luyang Luo, Poemen P. Chan, Clement C. Tham, Robert T. Chang, Suria S. Mannil, Carol Y. Cheung, Pheng-Ann Heng:
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning. Medical Image Anal. 63: 101695 (2020) - [j178]Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, Pheng-Ann Heng:
Direction-Aware Spatial Context Features for Shadow Detection and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2795-2808 (2020) - [j177]Lei Zhu, Jiaxing Chen, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, Pheng-Ann Heng:
Aggregating Attentional Dilated Features for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3358-3371 (2020) - [j176]Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng:
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis. IEEE Trans. Cybern. 50(9): 3950-3962 (2020) - [j175]Xi Wang, Fangyao Tang, Hao Chen, Luyang Luo, Ziqi Tang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng:
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification. IEEE J. Biomed. Health Informatics 24(12): 3431-3442 (2020) - [j174]Lihao Liu, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis. IEEE Trans. Medical Imaging 39(3): 718-728 (2020) - [j173]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [j172]Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading. IEEE Trans. Medical Imaging 39(5): 1483-1493 (2020) - [j171]Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-Modal Segmentation via Knowledge Distillation. IEEE Trans. Medical Imaging 39(7): 2415-2425 (2020) - [j170]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. IEEE Trans. Medical Imaging 39(7): 2494-2505 (2020) - [j169]Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng:
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data. IEEE Trans. Medical Imaging 39(9): 2713-2724 (2020) - [j168]Lihao Liu, Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation. IEEE Trans. Medical Imaging 39(9): 2806-2817 (2020) - [j167]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model. IEEE Trans. Medical Imaging 39(11): 3429-3440 (2020) - [j166]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. IEEE Trans. Medical Imaging 39(11): 3583-3594 (2020) - [j165]Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets. IEEE Trans. Medical Imaging 39(12): 4237-4248 (2020) - [j164]Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
Unsupervised Detection of Distinctive Regions on 3D Shapes. ACM Trans. Graph. 39(5): 158:1-158:14 (2020) - [j163]Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
Saliency-Aware Texture Smoothing. IEEE Trans. Vis. Comput. Graph. 26(7): 2471-2484 (2020) - [c202]Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation. AAAI 2020: 775-783 - [c201]Yang Tian, Yuming Bai, Shengdong Zhao, Chi-Wing Fu, Tianpei Yang, Pheng-Ann Heng:
Virtually-Extended Proprioception: Providing Spatial Reference in VR through an Appended Virtual Limb. CHI 2020: 1-12 - [c200]Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng:
Personalized Re-ranking with Item Relationships for E-commerce. CIKM 2020: 925-934 - [c199]Tianyu Wang, Xiaowei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection. CVPR 2020: 1877-1886 - [c198]Zhihao Chen, Lei Zhu, Liang Wan, Song Wang, Wei Feng, Pheng-Ann Heng:
A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection. CVPR 2020: 5610-5619 - [c197]Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu:
PointAugment: An Auto-Augmentation Framework for Point Cloud Classification. CVPR 2020: 6377-6386 - [c196]Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng:
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization. ECCV (9) 2020: 159-176 - [c195]Xiaojie Gao, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search. ICRA 2020: 8440-8446 - [c194]Bo Lu, Wei Chen, Yueming Jin, Dandan Zhang, Qi Dou, Henry Kar Hang Chu, Pheng-Ann Heng, Yun-Hui Liu:
A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises. IROS 2020: 3075-3082 - [c193]Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan, Pheng-Ann Heng:
A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound. MICCAI (6) 2020: 160-170 - [c192]Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng:
Difficulty-Aware Meta-learning for Rare Disease Diagnosis. MICCAI (1) 2020: 357-366 - [c191]Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-Efficient Cardiac Segmentation. MICCAI (1) 2020: 418-427 - [c190]Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. MICCAI (2) 2020: 475-485 - [c189]Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng:
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. MICCAI (1) 2020: 521-531 - [c188]Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng:
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. MICCAI (6) 2020: 579-588 - [c187]Zixu Zhao, Yueming Jin, Xiaojie Gao, Qi Dou, Pheng-Ann Heng:
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video. MICCAI (3) 2020: 679-689 - [c186]Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng:
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. PAKDD (1) 2020: 155-167 - [i85]Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-modal Segmentation via Knowledge Distillation. CoRR abs/2001.03111 (2020) - [i84]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. CoRR abs/2002.02255 (2020) - [i83]Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng:
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data. CoRR abs/2002.03366 (2020) - [i82]Xiaojie Gao, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search. CoRR abs/2002.08718 (2020) - [i81]Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng:
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. CoRR abs/2002.09708 (2020) - [i80]Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu:
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification. CoRR abs/2002.10876 (2020) - [i79]Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
A Rotation-Invariant Framework for Deep Point Cloud Analysis. CoRR abs/2003.07238 (2020) - [i78]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. CoRR abs/2003.10299 (2020) - [i77]Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng:
LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition. CoRR abs/2004.09845 (2020) - [i76]Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao:
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR abs/2004.12314 (2020) - [i75]Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni:
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes. CoRR abs/2004.13567 (2020) - [i74]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model. CoRR abs/2005.07377 (2020) - [i73]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-ray Disease Screening. CoRR abs/2006.03796 (2020) - [i72]Xianzhi Li, Ruihui Li, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising. CoRR abs/2006.15510 (2020) - [i71]Bo Lu, Wei Chen, Yueming Jin, Dandan Zhang, Qi Dou, Henry Kar Hang Chu, Pheng-Ann Heng, Yun-Hui Liu:
A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises. CoRR abs/2007.00920 (2020) - [i70]Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. CoRR abs/2007.02035 (2020) - [i69]Zixu Zhao, Yueming Jin, Xiaojie Gao, Qi Dou, Pheng-Ann Heng:
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video. CoRR abs/2007.02501 (2020) - [i68]Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation. CoRR abs/2007.06279 (2020) - [i67]Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng:
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization. CoRR abs/2007.09316 (2020) - [i66]Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng:
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. CoRR abs/2007.10787 (2020) - [i65]Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation. CoRR abs/2010.01532 (2020) - [i64]Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets. CoRR abs/2010.06208 (2020) - [i63]Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. CoRR abs/2010.06440 (2020) - [i62]Yonghao Long, Jie Ying Wu, Bo Lu, Yueming Jin, Mathias Unberath, Yun-Hui Liu, Pheng-Ann Heng, Qi Dou:
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. CoRR abs/2011.01619 (2020) - [i61]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. CoRR abs/2012.04193 (2020) - [i60]Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. CoRR abs/2012.05458 (2020)
2010 – 2019
- 2019
- [j162]Yushan Yu, Xuemiao Xu, Xiaowei Hu, Pheng-Ann Heng:
DALocNet: Improving Localization Accuracy for Domain Adaptive Object Detection. IEEE Access 7: 63155-63163 (2019) - [j161]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access 7: 99065-99076 (2019) - [j160]Qianqian Tong, Caizi Li, Weixin Si, Xiangyun Liao, Yaliang Tong, Zhiyong Yuan, Pheng-Ann Heng:
RIANet: Recurrent interleaved attention network for cardiac MRI segmentation. Comput. Biol. Medicine 109: 290-302 (2019) - [j159]Weixin Si, Xiangyun Liao, Yinling Qian, Qiong Wang, Pheng-Ann Heng:
Versatile numerical fractures removal for SPH-based free surface liquids. Comput. Graph. 81: 1-8 (2019) - [j158]Yinling Qian, Jian Shi, Hanqiu Sun, Lei Ma, Yanyun Chen, Qiong Wang, Pheng-Ann Heng:
Layered leaf texturing using structure-guided model. Graph. Model. 103 (2019) - [j157]Ruotong Li, Weixin Si, Xiangyun Liao, Qiong Wang, Reinhard Klein, Pheng-Ann Heng:
Mixed reality based respiratory liver tumor puncture navigation. Comput. Vis. Media 5(4): 363-374 (2019) - [j156]Qi Dou, Xianjun Sam Zheng, Tongfang Sun, Pheng-Ann Heng:
Webthetics: Quantifying webpage aesthetics with deep learning. Int. J. Hum. Comput. Stud. 124: 56-66 (2019) - [j155]Yang Tian, Chi-Wing Fu, Shengdong Zhao, Ruihui Li, Xiao Tang, Xiaowei Hu, Pheng-Ann Heng:
Enhancing Augmented VR Interaction via Egocentric Scene Analysis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 105:1-105:24 (2019) - [j154]Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot:
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. Medical Image Anal. 52: 199-211 (2019) - [j153]Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. Medical Image Anal. 58 (2019) - [j152]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Guang Yang:
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Anal. 58 (2019) - [j151]Qingqing Zheng, Yi Wang, Pheng-Ann Heng:
Online Subspace Learning from Gradient Orientations for Robust Image Alignment. IEEE Trans. Image Process. 28(7): 3383-3394 (2019) - [j150]Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, Pheng-Ann Heng:
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection. IEEE Trans. Intell. Transp. Syst. 20(3): 1010-1019 (2019) - [j149]Xin Yang, Lequan Yu, Shengli Li, Huaxuan Wen, Dandan Luo, Cheng Bian, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound. IEEE Trans. Medical Imaging 38(1): 180-193 (2019) - [j148]Huangjing Lin, Hao Chen, Simon Graham, Qi Dou, Nasir M. Rajpoot, Pheng-Ann Heng:
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection. IEEE Trans. Medical Imaging 38(8): 1948-1958 (2019) - [j147]Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation. IEEE Trans. Medical Imaging 38(11): 2485-2495 (2019) - [j146]Yi Wang, Dong Ni, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang:
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound. IEEE Trans. Medical Imaging 38(12): 2768-2778 (2019) - [j145]Mingqiang Wei, Yang Tian, Wai-Man Pang, Charlie C. L. Wang, Ming-Yong Pang, Jun Wang, Jing Qin, Pheng-Ann Heng:
Bas-Relief Modeling from Normal Layers. IEEE Trans. Vis. Comput. Graph. 25(4): 1651-1665 (2019) - [j144]Wei-Xin Si, Xiang-Yun Liao, Yin-Ling Qian, Hai-Tao Sun, Xiang-Dong Chen, Qiong Wang, Pheng-Ann Heng:
Assessing performance of augmented reality-based neurosurgical training. Vis. Comput. Ind. Biomed. Art 2: 1-10 (2019) - [c185]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. AAAI 2019: 865-872 - [c184]Xu Wang, Xin Yang, Haoran Dou, Shengli Li, Pheng-Ann Heng, Dong Ni:
Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes. BHI 2019: 1-5 - [c183]Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Pheng-Ann Heng:
Depth-Attentional Features for Single-Image Rain Removal. CVPR 2019: 8022-8031 - [c182]Zijun Deng, Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Qing Zhang, Jing Qin, Pheng-Ann Heng:
Deep Multi-Model Fusion for Single-Image Dehazing. ICCV 2019: 2453-2462 - [c181]Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, Pheng-Ann Heng:
Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data. ICCV 2019: 2472-2481 - [c180]Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
PU-GAN: A Point Cloud Upsampling Adversarial Network. ICCV 2019: 7202-7211 - [c179]Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. ICCV Workshops 2019: 388-398 - [c178]Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng:
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation. IPMI 2019: 682-693 - [c177]Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng:
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. ISBI 2019: 1280-1283 - [c176]Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Unsupervised Retina Image Synthesis via Disentangled Representation Learning. SASHIMI@MICCAI 2019: 32-41 - [c175]Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng:
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening. MICCAI (1) 2019: 39-47 - [c174]Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation. MICCAI (1) 2019: 102-110 - [c173]Lihao Liu, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization. ABCD-NP@MICCAI 2019: 108-113 - [c172]Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng:
FetusMap: Fetal Pose Estimation in 3D Ultrasound. MICCAI (5) 2019: 281-289 - [c171]Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni:
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound. MICCAI (5) 2019: 290-298 - [c170]Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng:
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration. MICCAI (2) 2019: 346-354 - [c169]Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng:
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video. MICCAI (5) 2019: 440-448 - [c168]Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng:
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. MICCAI (3) 2019: 447-456 - [c167]Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. MICCAI (4) 2019: 504-512 - [c166]Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. MICCAI (1) 2019: 586-594 - [c165]Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng:
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. MICCAI (2) 2019: 605-613 - [c164]Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. MLMI@MICCAI 2019: 628-636 - [c163]Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng:
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. MICCAI (1) 2019: 640-648 - [c162]Yinling Qian, Wenbin Huang, Weixin Si, Xiangyun Liao, Qiong Wang, Pheng-Ann Heng:
Towards Biomechanically and Visually Plausible Volumetric Cutting Simulation of Deformable Bodies. PG (Short Papers) 2019: 27-32 - [c161]Ruotong Li, Tianpei Yang, Weixin Si, Xiangyun Liao, Qiong Wang, Reinhard Klein, Pheng-Ann Heng:
Augmented Reality Guided Respiratory Liver Tumors Punctures: A Preliminary Feasibility Study. SIGGRAPH Asia Technical Briefs 2019: 114-117 - [p3]Qi Dou, Cheng Chen, Cheng Ouyang, Hao Chen, Pheng-Ann Heng:
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 93-115 - [i59]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i58]Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng:
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. CoRR abs/1901.07759 (2019) - [i57]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. CoRR abs/1901.08211 (2019) - [i56]Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation. CoRR abs/1902.07519 (2019) - [i55]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - [i54]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation. CoRR abs/1903.00348 (2019) - [i53]Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng:
CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation. CoRR abs/1903.05358 (2019) - [i52]Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Pheng-Ann Heng:
SAC-Net: Spatial Attenuation Context for Salient Object Detection. CoRR abs/1903.10152 (2019) - [i51]Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, Pheng-Ann Heng:
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data. CoRR abs/1903.10683 (2019) - [i50]Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. CoRR abs/1905.01040 (2019) - [i49]Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
Unsupervised Detection of Distinctive Regions on 3D Shapes. CoRR abs/1905.01684 (2019) - [i48]Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. CoRR abs/1906.02999 (2019) - [i47]Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation. CoRR abs/1906.11143 (2019) - [i46]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Difficulty-aware Meta-Learning for Rare Disease Diagnosis. CoRR abs/1907.00354 (2019) - [i45]Yi Wang, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang, Dong Ni:
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound. CoRR abs/1907.01743 (2019) - [i44]Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng:
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration. CoRR abs/1907.01922 (2019) - [i43]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng:
Revisiting Metric Learning for Few-Shot Image Classification. CoRR abs/1907.03123 (2019) - [i42]Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis. CoRR abs/1907.06099 (2019) - [i41]Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng:
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. CoRR abs/1907.07034 (2019) - [i40]Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng:
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video. CoRR abs/1907.07899 (2019) - [i39]Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
PU-GAN: a Point Cloud Upsampling Adversarial Network. CoRR abs/1907.10844 (2019) - [i38]Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng:
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening. CoRR abs/1907.12927 (2019) - [i37]Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng:
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. CoRR abs/1908.06623 (2019) - [i36]Xu Wang, Xin Yang, Haoran Dou, Shengli Li, Pheng-Ann Heng, Dong Ni:
Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes. CoRR abs/1909.00186 (2019) - [i35]Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. CoRR abs/1909.01068 (2019) - [i34]Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. CoRR abs/1909.02344 (2019) - [i33]José Ignacio Orlando, Huazhu Fu, João Barbosa Breda, Karel van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic:
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR abs/1910.03667 (2019) - [i32]Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni:
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound. CoRR abs/1910.04331 (2019) - [i31]Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng:
FetusMap: Fetal Pose Estimation in 3D Ultrasound. CoRR abs/1910.04935 (2019) - [i30]Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading. CoRR abs/1911.01376 (2019) - [i29]Xiaowei Hu, Tianyu Wang, Chi-Wing Fu, Yitong Jiang, Qiong Wang, Pheng-Ann Heng:
Revisiting Shadow Detection: A New Benchmark Dataset for Complex World. CoRR abs/1911.06998 (2019) - [i28]Tianyu Wang, Xiaowei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection. CoRR abs/1911.07034 (2019) - 2018
- [j143]Xianzhi Li, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
Non-Local Low-Rank Normal Filtering for Mesh Denoising. Comput. Graph. Forum 37(7): 155-166 (2018) - [j142]Qingqing Zheng, Fengyuan Zhu, Jing Qin, Pheng-Ann Heng:
Multiclass support matrix machine for single trial EEG classification. Neurocomputing 275: 869-880 (2018) - [j141]Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin Hong Wong, Kup-Sze Choi, Chi-Wing Fu, Pheng-Ann Heng:
Feature-preserving ultrasound speckle reduction via L0 minimization. Neurocomputing 294: 48-60 (2018) - [j140]Ho-Man Colman Leung, Chi-Wing Fu, Pheng-Ann Heng:
TwistIn: Tangible Authentication of Smart Devices via Motion Co-analysis with a Smartwatch. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(2): 72:1-72:24 (2018) - [j139]Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Xiaojuan Qi, Daniel L. Belavy, Gabriele Armbrecht, Dieter Felsenberg, Guoyan Zheng, Pheng-Ann Heng:
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images. Medical Image Anal. 45: 41-54 (2018) - [j138]Xueying Shi, Guangyong Chen, Pheng-Ann Heng, Zhang Yi:
Tracking topology structure adaptively with deep neural networks. Neural Comput. Appl. 30(11): 3317-3326 (2018) - [j137]Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Pheng-Ann Heng:
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images. NeuroImage 170: 446-455 (2018) - [j136]Qingqing Zheng, Fengyuan Zhu, Jing Qin, Badong Chen, Pheng-Ann Heng:
Sparse Support Matrix Machine. Pattern Recognit. 76: 715-726 (2018) - [j135]Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng:
Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference. ACM Trans. Knowl. Discov. Data 12(3): 31:1-31:24 (2018) - [j134]Yi Wang, Qingqing Zheng, Pheng-Ann Heng:
Online Robust Projective Dictionary Learning: Shape Modeling for MR-TRUS Registration. IEEE Trans. Medical Imaging 37(4): 1067-1078 (2018) - [j133]Yueming Jin, Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network. IEEE Trans. Medical Imaging 37(5): 1114-1126 (2018) - [j132]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [j131]Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes. IEEE Trans. Medical Imaging 37(12): 2663-2674 (2018) - [j130]Weixin Si, Jing Qin, Zhuchao Chen, Xiangyun Liao, Qiong Wang, Pheng-Ann Heng:
Thin-Feature-Aware Transport-Velocity Formulation for SPH-Based Liquid Animation. IEEE Trans. Multim. 20(11): 3033-3044 (2018) - [j129]Xiangyun Liao, Weixin Si, Zhiyong Yuan, Hanqiu Sun, Jing Qin, Qiong Wang, Pheng-Ann Heng:
Animating Wall-Bounded Turbulent Smoke via Filament-Mesh Particle-Particle Method. IEEE Trans. Vis. Comput. Graph. 24(3): 1260-1273 (2018) - [c160]Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction. AAAI 2018: 2652-2659 - [c159]Xiaowei Hu, Lei Zhu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Recurrently Aggregating Deep Features for Salient Object Detection. AAAI 2018: 6943-6950 - [c158]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. BMVC 2018: 63 - [c157]Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
PU-Net: Point Cloud Upsampling Network. CVPR 2018: 2790-2799 - [c156]Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
Direction-Aware Spatial Context Features for Shadow Detection. CVPR 2018: 7454-7462 - [c155]Lei Zhu, Zijun Deng, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, Pheng-Ann Heng:
Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection. ECCV (6) 2018: 122-137 - [c154]Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
EC-Net: An Edge-Aware Point Set Consolidation Network. ECCV (7) 2018: 398-414 - [c153]Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, Pheng-Ann Heng:
R³Net: Recurrent Residual Refinement Network for Saliency Detection. IJCAI 2018: 684-690 - [c152]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng:
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. IJCAI 2018: 691-697 - [c151]Yi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Li-Sheng Wang, Hao Chen, Pheng-Ann Heng, Rui-Hua Xu:
HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation. ISBI 2018: 195-198 - [c150]Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, Pheng-Ann Heng:
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis. DLMIA/ML-CDS@MICCAI 2018: 74-82 - [c149]Cong Liu, Weixin Si, Yinling Qian, Xiangyun Liao, Qiong Wang, Yong Guo, Pheng-Ann Heng:
Multipath Densely Connected Convolutional Neural Network for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2018: 81-91 - [c148]Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation. MLMI@MICCAI 2018: 143-151 - [c147]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 235-243 - [c146]Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yu-An Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng:
Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation. STACOM@MICCAI 2018: 237-245 - [c145]Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni, Pheng-Ann Heng:
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation. STACOM@MICCAI 2018: 246-254 - [c144]Caizi Li, Qianqian Tong, Xiangyun Liao, Weixin Si, Yinzi Sun, Qiong Wang, Pheng-Ann Heng:
Attention Based Hierarchical Aggregation Network for 3D Left Atrial Segmentation. STACOM@MICCAI 2018: 255-264 - [c143]Xin Yang, Haoran Dou, Ran Li, Xu Wang, Cheng Bian, Shengli Li, Dong Ni, Pheng-Ann Heng:
Generalizing Deep Models for Ultrasound Image Segmentation. MICCAI (4) 2018: 497-505 - [c142]Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu, Xin Yang, Xuemiao Xu, Pheng-Ann Heng, Dong Ni:
Deep Attentional Features for Prostate Segmentation in Ultrasound. MICCAI (4) 2018: 523-530 - [c141]Zhihao Zuo, Weixin Yinling Qian, Xiangyun Liao, Pheng-Ann Heng:
Position based catheterization and angiography simulation. SeGAH 2018: 1-7 - [c140]Weixin Si, Xianavun Liao, Qiong Wang, Pheng-Ann Heng:
Augmented Reality-Based Personalized Virtual Operative Anatomy for Neurosurgical Guidance and Training. VR 2018: 683-684 - [c139]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image. WACV 2018: 539-546 - [i27]Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
PU-Net: Point Cloud Upsampling Network. CoRR abs/1801.06761 (2018) - [i26]Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, Pheng-Ann Heng:
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection. CoRR abs/1804.00433 (2018) - [i25]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng:
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. CoRR abs/1804.10916 (2018) - [i24]Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, Pheng-Ann Heng:
Direction-aware Spatial Context Features for Shadow Detection and Removal. CoRR abs/1805.04635 (2018) - [i23]Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation. CoRR abs/1806.00600 (2018) - [i22]Simon Graham, Hao Chen, Qi Dou, Pheng-Ann Heng, Nasir M. Rajpoot:
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images. CoRR abs/1806.01963 (2018) - [i21]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images. CoRR abs/1807.02804 (2018) - [i20]Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
EC-Net: an Edge-aware Point set Consolidation Network. CoRR abs/1807.06010 (2018) - [i19]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. CoRR abs/1808.03887 (2018) - [i18]Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yu-An Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng:
Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation. CoRR abs/1812.05802 (2018) - [i17]Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni, Pheng-Ann Heng:
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation. CoRR abs/1812.05807 (2018) - [i16]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. CoRR abs/1812.07907 (2018) - 2017
- [j128]Wen Wu, Hui Chen, Yuhai Cen, Yang Hong, Balvinder Khambay, Pheng-Ann Heng:
Haptic simulation framework for determining virtual dental occlusion. Int. J. Comput. Assist. Radiol. Surg. 12(4): 595-606 (2017) - [j127]Xiangyun Liao, Weixin Si, Biao Xu, Zhiyong Yuan, Qiong Wang, Pheng-Ann Heng:
Filament-based realistic turbulent wake synthesis. Comput. Animat. Virtual Worlds 28(3-4) (2017) - [j126]Guoyan Zheng, Chengwen Chu, Daniel L. Belavy, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Hugo Hutt, Richard M. Everson, Judith Meakin, Isabel Lopez Andrade, Ben Glocker, Hao Chen, Qi Dou, Pheng-Ann Heng, Chunliang Wang, Daniel Forsberg, Ales Neubert, Jurgen Fripp, Martin Urschler, Darko Stern, Maria Wimmer:
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 35: 327-344 (2017) - [j125]Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot:
Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 35: 489-502 (2017) - [j124]Hao Chen, Xiaojuan Qi, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng:
DCAN: Deep contour-aware networks for object instance segmentation from histology images. Medical Image Anal. 36: 135-146 (2017) - [j123]Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng:
3D deeply supervised network for automated segmentation of volumetric medical images. Medical Image Anal. 41: 40-54 (2017) - [j122]Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Evgenia Papavasileiou, Mathias Prokop:
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. Medical Image Anal. 42: 1-13 (2017) - [j121]Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Blind Image Denoising via Dependent Dirichlet Process Tree. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1518-1531 (2017) - [j120]Lei Zhu, Weiming Wang, Jing Qin, Kin Hong Wong, Kup-Sze Choi, Pheng-Ann Heng:
Fast feature-preserving speckle reduction for ultrasound images via phase congruency. Signal Process. 134: 275-284 (2017) - [j119]Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng-Ann Heng:
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection. IEEE Trans. Biomed. Eng. 64(7): 1558-1567 (2017) - [j118]Hao Chen, Lingyun Wu, Qi Dou, Jing Qin, Shengli Li, Jie-Zhi Cheng, Dong Ni, Pheng-Ann Heng:
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework. IEEE Trans. Cybern. 47(6): 1576-1586 (2017) - [j117]Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng:
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos. IEEE J. Biomed. Health Informatics 21(1): 65-75 (2017) - [j116]Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng:
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks. IEEE Trans. Medical Imaging 36(4): 994-1004 (2017) - [j115]Peng Song, Chi-Wing Fu, Yueming Jin, Hongfei Xu, Ligang Liu, Pheng-Ann Heng, Daniel Cohen-Or:
Reconfigurable interlocking furniture. ACM Trans. Graph. 36(6): 174:1-174:14 (2017) - [c138]Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images. AAAI 2017: 66-72 - [c137]Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng:
Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. AAAI 2017: 1633-1639 - [c136]Lei Zhu, Chi-Wing Fu, Michael S. Brown, Pheng-Ann Heng:
A Non-local Low-Rank Framework for Ultrasound Speckle Reduction. CVPR 2017: 493-501 - [c135]Di Lin, Guangyong Chen, Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang:
Cascaded Feature Network for Semantic Segmentation of RGB-D Images. ICCV 2017: 1320-1328 - [c134]Qingqing Zheng, Yi Wang, Pheng-Ann Heng:
Online Robust Image Alignment via Subspace Learning from Gradient Orientations. ICCV 2017: 1771-1780 - [c133]Lei Zhu, Chi-Wing Fu, Dani Lischinski, Pheng-Ann Heng:
Joint Bi-layer Optimization for Single-Image Rain Streak Removal. ICCV 2017: 2545-2553 - [c132]Guangyong Chen, Shengyu Zhang, Di Lin, Hui Huang, Pheng-Ann Heng:
Learning to Aggregate Ordinal Labels by Maximizing Separating Width. ICML 2017: 787-796 - [c131]Lingyun Wu, Yang Xin, Shengli Li, Tianfu Wang, Pheng-Ann Heng, Dong Ni:
Cascaded Fully Convolutional Networks for automatic prenatal ultrasound image segmentation. ISBI 2017: 663-666 - [c130]Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng:
Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation. STACOM@MICCAI 2017: 152-160 - [c129]Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng:
3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition. STACOM@MICCAI 2017: 181-189 - [c128]Xiaowei Hu, Lequan Yu, Hao Chen, Jing Qin, Pheng-Ann Heng:
AGNet: Attention-Guided Network for Surgical Tool Presence Detection. DLMIA/ML-CDS@MICCAI 2017: 186-194 - [c127]Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng:
Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing. STACOM@MICCAI 2017: 215-223 - [c126]Guodong Zeng, Xin Yang, Jing Li, Lequan Yu, Pheng-Ann Heng, Guoyan Zheng:
3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images. MLMI@MICCAI 2017: 274-282 - [c125]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. MICCAI (2) 2017: 287-295 - [c124]Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. MICCAI (3) 2017: 630-638 - [c123]Xin Yang, Lequan Yu, Shengli Li, Xu Wang, Na Wang, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automatic Semantic Segmentation in Volumetric Ultrasound. MICCAI (1) 2017: 711-719 - [c122]Weixin Si, Jing Lu, Xiangyun Liao, Qiong Wang, Jing Qin, Pheng-Ann Heng:
Patch green coordinates based interactive embedded deformable model. MIG 2017: 3:1-3:10 - [p2]Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Lei Zhao, Vincent C. T. Mok, Defeng Wang, Lin Shi, Pheng-Ann Heng:
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images. Deep Learning for Medical Image Analysis 2017: 133-154 - [i15]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images. CoRR abs/1707.09597 (2017) - [i14]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. CoRR abs/1708.00573 (2017) - [i13]Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. CoRR abs/1708.03867 (2017) - [i12]Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes. CoRR abs/1709.07330 (2017) - [i11]Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng:
Direction-aware Spatial Context Features for Shadow Detection. CoRR abs/1712.04142 (2017) - [i10]Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction. CoRR abs/1712.08297 (2017) - 2016
- [j114]Shuang Liang, Kup-Sze Choi, Jing Qin, Wai-Man Pang, Pheng-Ann Heng:
Enhancing training performance for brain-computer interface with object-directed 3D visual guidance. Int. J. Comput. Assist. Radiol. Surg. 11(11): 2129-2137 (2016) - [j113]Lei Zhu, Chi-Wing Fu, Yueming Jin, Mingqiang Wei, Jing Qin, Pheng-Ann Heng:
Non-Local Sparse and Low-Rank Regularization for Structure-Preserving Image Smoothing. Comput. Graph. Forum 35(7): 217-226 (2016) - [j112]Shuang Liang, Kup-Sze Choi, Jing Qin, Wai-Man Pang, Qiong Wang, Pheng-Ann Heng:
Improving the discrimination of hand motor imagery via virtual reality based visual guidance. Comput. Methods Programs Biomed. 132: 63-74 (2016) - [j111]Yi Wang, Jie-Zhi Cheng, Dong Ni, Muqing Lin, Jing Qin, Xiongbiao Luo, Ming Xu, Xiaoyan Xie, Pheng-Ann Heng:
Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration. IEEE Trans. Medical Imaging 35(2): 589-604 (2016) - [j110]Qi Dou, Hao Chen, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent C. T. Mok, Lin Shi, Pheng-Ann Heng:
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks. IEEE Trans. Medical Imaging 35(5): 1182-1195 (2016) - [j109]Haichao Zhu, Xueting Liu, Tien-Tsin Wong, Pheng-Ann Heng:
Globally optimal toon tracking. ACM Trans. Graph. 35(4): 75:1-75:10 (2016) - [c121]Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng:
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks. AAAI 2016: 1160-1166 - [c120]Hao Chen, Xiaojuan Qi, Jie-Zhi Cheng, Pheng-Ann Heng:
Deep Contextual Networks for Neuronal Structure Segmentation. AAAI 2016: 1167-1173 - [c119]Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin Hong Wong, Pheng-Ann Heng:
Ultrasound Speckle Reduction via L_0 Minimization. ACCV (3) 2016: 50-65 - [c118]Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng:
From Noise Modeling to Blind Image Denoising. CVPR 2016: 420-429 - [c117]Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng:
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. CVPR 2016: 2487-2496 - [c116]Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng:
A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction. ICDM 2016: 729-738 - [c115]Hao Chen, Xi Wang, Pheng-Ann Heng:
Automated mitosis detection with deep regression networks. ISBI 2016: 1204-1207 - [c114]Hao Chen, Qi Dou, Xi Wang, Jing Qin, Jack Chun Yiu Cheng, Pheng-Ann Heng:
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation. MIAR 2016: 375-382 - [c113]Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation. CSI@MICCAI 2016: 85-91 - [c112]Lequan Yu, Xin Yang, Jing Qin, Pheng-Ann Heng:
3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes. RAMBO+HVSMR@MICCAI 2016: 103-110 - [c111]Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng:
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. MICCAI (2) 2016: 149-157 - [c110]Hao Chen, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou:
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images. MICCAI (2) 2016: 487-495 - [c109]Weixin Si, Junliang Shan, Xiangyun Liao, Weiming Wang, Qiong Wang, Pheng-Ann Heng:
Constrained Point-Based Framework with Efficient Mechanical Interaction for Virtual Surgery. MMVR 2016: 367-374 - [i9]Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Blind Image Denoising via Dependent Dirichlet Process Tree. CoRR abs/1601.03117 (2016) - [i8]Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng:
Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization. CoRR abs/1601.03124 (2016) - [i7]Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot:
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR abs/1603.00275 (2016) - [i6]Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng:
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. CoRR abs/1604.02677 (2016) - [i5]Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng:
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. CoRR abs/1607.00582 (2016) - [i4]