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ORCIDJing Xiao 0006
Person information
- affiliation: PingAn Technology, Shenzhen, China
Other persons with the same name
- Jing Xiao — disambiguation page
- Jing Xiao 0001 — Worcester Polytechnic Institute, Worcester, MA, USA (and 1 more)
- Jing Xiao 0002 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Jing Xiao 0003
![[0000-0002-9995-8467]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9995-8467")
— Guilin Univerisity of Electronic Technology, Faculty of Electromechanical Engineering, China - Jing Xiao 0004 — Wuhan University, School of Computer Science, National Engineering Research Center for Multimedia Software, China (and 4 more)
- Jing Xiao 0005 — South China Normal University, School of Computer Science, Guangzhou, China (and 2 more)
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2020 – today
- 2021
[j8]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis. Medical Image Anal. 67: 101839 (2021)- [j7]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy. Medical Image Anal. 68: 101909 (2021) - [j6]Jiawen Yao, Yu Shi, Kai Cao, Le Lu, Jianping Lu, Qike Song, Gang Jin, Jing Xiao, Yang Hou, Ling Zhang:
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing. Medical Image Anal. 73: 102150 (2021) - [j5]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Yuxing Tang, Xiaohui Lin, Rushan Ouyang, Mingxiang Wu, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Peng Chang, Jie Ma:
MommiNet-v2: Mammographic multi-view mass identification networks. Medical Image Anal. 73: 102204 (2021) - [j4]Jie Xing, Chao Chen, Qinyang Lu, Xun Cai, Aijun Yu, Yi Xu, Xiaoling Xia, Yue Sun, Jing Xiao, Lingyun Huang:
Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images. IEEE J. Biomed. Health Informatics 25(6): 2058-2070 (2021) - [j3]Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu:
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. IEEE Trans. Medical Imaging 40(1): 59-70 (2021) - [j2]Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Contour Transformer Network for One-Shot Segmentation of Anatomical Structures. IEEE Trans. Medical Imaging 40(10): 2672-2684 (2021) - [j1]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. IEEE Trans. Medical Imaging 40(10): 2759-2770 (2021) - [c76]Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. AAAI 2021: 724-732 - [c75]Zongcheng Ji, Tian Xia, Mei Han, Jing Xiao:
A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization. ACL/IJCNLP (1) 2021: 2819-2827 - [c74]Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang:
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms. CVPR 2021: 3855-3864 - [c73]Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao:
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization. CVPR 2021: 5280-5288 - [c72]Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang:
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. CVPR 2021: 13743-13752 - [c71]Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu:
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. CVPR 2021: 15159-15169 - [c70]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation. ICASSP 2021: 3340-3344 - [c69]Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao:
CASS-NAT: CTC Alignment-Based Single Step Non-Autoregressive Transformer for Speech Recognition. ICASSP 2021: 5889-5893 - [c68]Kai Lei, Hao Ye, Yuzhi Liang, Jing Xiao, Peiwu Chen:
Towards a Translation-Based Method for Dynamic Heterogeneous Network Embedding. ICC 2021: 1-6 - [c67]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Xinghua Zhu, Jie Liu, Jing Xiao:
Quantum Convolutional Neural Network on Protein Distance Prediction. IJCNN 2021: 1-8 - [c66]Zhenhou Hong, Jianzong Wang, Wenqi Wei, Jie Liu, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao:
When Hearing the Voice, Who Will Come to Your Mind. IJCNN 2021: 1-6 - [c65]LeiLai Li, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
Communication-Memory-Efficient Decentralized Learning For Audio Representation. IJCNN 2021: 1-8 - [c64]Guanyu Lin, Xinghua Zhu, Jianzong Wang, Jing Xiao:
Anomaly Removal for Vehicle Energy Consumption in Federated Learning. IJCNN 2021: 1-8 - [c63]Jie Liu, Jianzong Wang, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao:
Automatic Joint Optimization of Algorithm-Level Compression and Compiler-Based Acceleration with Reinforcement Learning for DNN in Edge Devices. IJCNN 2021: 1-8 - [c62]Xiaoyang Qu, Jianzong Wang, Jie Liu, Jing Xiao:
Enhancing Neural Architecture Search by Upgrading Weak Components. IJCNN 2021: 1-8 - [c61]Yanxi Tang, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
Contrastive Learning for improving End-to-end Speaker Verification. IJCNN 2021: 1-7 - [c60]Anshun Xue, Xinghua Zhu, Jianzong Wang, Jing Xiao:
Diversified Point Cloud Classification Using Personalized Federated Learning. IJCNN 2021: 1-8 - [c59]Nan Zhang, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Ning Cheng, Jing Xiao:
CACnet: Cube Attentional CNN for Automatic Speech Recognition. IJCNN 2021: 1-7 - [c58]Yirui Wang, Kang Zheng, Chi-Tung Cheng, Xiao-Yun Zhou, Zhilin Zheng, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao:
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays. IPMI 2021: 599-610 - [c57]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Lu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. MICCAI (5) 2021: 3-12 - [c56]Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. MICCAI (5) 2021: 33-42 - [c55]Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiao-Yun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. PRIME@MICCAI 2021: 47-58 - [c54]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) 2021: 87-97 - [c53]Yanbo Zhang, Yuxing Tang, Zhenjie Cao, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
BI-RADS Classification of Calcification on Mammograms. MICCAI (7) 2021: 119-128 - [c52]Zhenjie Cao, Zhicheng Yang, Yuxing Tang, Yanbo Zhang, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
Supervised Contrastive Pre-training forMammographic Triage Screening Models. MICCAI (7) 2021: 129-139 - [c51]Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray. PRIME@MICCAI 2021: 138-146 - [c50]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. DGM4MICCAI/DALI@MICCAI 2021: 145-153 - [c49]Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang:
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. MICCAI (5) 2021: 259-269 - [c48]Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison:
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. MICCAI (5) 2021: 270-280 - [c47]Bolin Lai, Yuhsuan Wu, Xiao-Yun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. MLMI@MICCAI 2021: 296-305 - [c46]Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection. MICCAI (2) 2021: 341-351 - [c45]Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. MICCAI (2) 2021: 515-525 - [c44]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. MICCAI (7) 2021: 764-774 - [i66]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation. CoRR abs/2102.11638 (2021) - [i65]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. CoRR abs/2103.05170 (2021) - [i64]Bolin Lai, Yuhsuan Wu, Xiao-Yun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data. CoRR abs/2103.12972 (2021) - [i63]Kang Zheng, Yirui Wang, Xiaoyun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images. CoRR abs/2103.13482 (2021) - [i62]Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray. CoRR abs/2104.01734 (2021) - [i61]Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. CoRR abs/2104.02847 (2021) - [i60]Bowen Li, Xinping Ren, Ke Yan, Le Lu, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison:
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. CoRR abs/2104.05570 (2021) - [i59]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph. CoRR abs/2104.14629 (2021) - [i58]Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. CoRR abs/2105.01218 (2021) - [i57]Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection. CoRR abs/2105.01828 (2021) - [i56]Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao, Abeer Alwan:
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition. CoRR abs/2106.09885 (2021) - [i55]Shijing Si, Jianzong Wang, Huiming Sun, Jianhan Wu, Chuanyao Zhang, Xiaoyang Qu, Ning Cheng, Lei Chen, Jing Xiao:
Variational Information Bottleneck for Effective Low-resource Audio Classification. CoRR abs/2107.04803 (2021) - [i54]Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao:
Speech2Video: Cross-Modal Distillation for Speech to Video Generation. CoRR abs/2107.04806 (2021) - [i53]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Jie Liu, Chendong Zhao, Jing Xiao:
Federated Learning with Dynamic Transformer for Text to Speech. CoRR abs/2107.08795 (2021) - [i52]Chi-Tung Cheng, Jinzheng Cai, Wei Teng, Youjing Zheng, Yuting Huang, Yu-Chao Wang, Chien-Wei Peng, Youbao Tang, Wei-Chen Lee, Ta-Sen Yeh, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening. CoRR abs/2108.07492 (2021) - [i51]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Liu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search. CoRR abs/2109.09271 (2021) - [i50]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. CoRR abs/2109.11572 (2021) - [i49]Bowen Li, Dar-In Tai, Ke Yan, Yi-Cheng Chen, Shiu-Feng Huang, Tse-Hwa Hsu, Wan-Ting Yu, Jing Xiao, Le Lu, Adam P. Harrison:
Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning. CoRR abs/2110.05664 (2021) - [i48]Peng Wang, Yuhsuan Wu, Bolin Lai, Xiao-Yun Zhou, Le Lu, Wendi Liu, Huabang Zhou, Lingyun Huang, Jing Xiao, Adam P. Harrison, Ningyang Jia, Heping Hu:
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI. CoRR abs/2110.08817 (2021) - 2020
- [c43]Yanxi Tang, Jianzong Wang, Xiaoyang Qu, Nan Zhang, Jing Xiao:
D-GHNAS for Joint Intent Classification and Slot Filling. APWeb/WAIM (1) 2020: 794-807 - [c42]Nan Zhang, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
Image Compressed Sensing Using Neural Architecture Search. Big Data (CCF) 2020: 18-30 - [c41]Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. CVPR 2020: 4222-4231 - [c40]Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao:
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images. ECCV (23) 2020: 239-255 - [c39]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. ECCV (13) 2020: 257-274 - [c38]Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Structured Landmark Detection via Topology-Adapting Deep Graph Learning. ECCV (9) 2020: 266-283 - [c37]Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. ECCV (23) 2020: 448-465 - [c36]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Peng Chang, Shibin Wu, Lingyun Huang, Wei Xu, Mei Han, Jing Xiao, Mingxiang Wu, Jie Ma:
MABEL: An AI-Powered Mammographic Breast Lesion Diagnostic System. HealthCom 2020: 1-7 - [c35]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
ParallelNAS: A Parallel and Distributed System for Neural Architecture Search. HPCC/DSS/SmartCity 2020: 247-254 - [c34]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices. HPCC/DSS/SmartCity 2020: 967-972 - [c33]Nan Zhang, Jianzong Wang, Jian Yang, Xiaoyang Qu, Jing Xiao:
Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture Search. ICANN (1) 2020: 312-324 - [c32]Zhen Zeng, Jianzong Wang, Ning Cheng, Tian Xia, Jing Xiao:
Aligntts: Efficient Feed-Forward Text-to-Speech System Without Explicit Alignment. ICASSP 2020: 6714-6718 - [c31]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification. INTERSPEECH 2020: 961-965 - [c30]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-Segmentation on Ct Scans. ISBI 2020: 203-206 - [c29]Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison:
Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression. MICCAI (4) 2020: 3-13 - [c28]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Jie Ma, Peng Chang:
MommiNet: Mammographic Multi-view Mass Identification Networks. MICCAI (6) 2020: 200-210 - [c27]Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang:
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. MICCAI (2) 2020: 272-282 - [c26]Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. MICCAI (1) 2020: 457-467 - [c25]Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu:
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans. MICCAI (4) 2020: 491-500 - [c24]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. MICCAI (4) 2020: 512-522 - [c23]Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers:
One Click Lesion RECIST Measurement and Segmentation on CT Scans. MICCAI (4) 2020: 573-583 - [c22]Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison:
Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization. MICCAI (3) 2020: 606-615 - [c21]Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Learning to Segment Anatomical Structures Accurately from One Exemplar. MICCAI (1) 2020: 678-688 - [c20]Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy. MICCAI (7) 2020: 753-762 - [c19]Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. MICCAI (7) 2020: 772-782 - [c18]Zeyuan Li, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
3D Point Cloud Segmentation for Complex Structure Based on PointSIFT. PRCV (1) 2020: 660-670 - [c17]Minghao Li, Yuchuan Gou, Bo Gong, Jing Xiao, Mei Han:
GAN-based AI Drawing Board for Image Generation and Colorization. SIGGRAPH Posters 2020: 45:1-45:2 - [i47]Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu:
Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. CoRR abs/2001.07776 (2020) - [i46]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation. CoRR abs/2001.08590 (2020) - [i45]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-segmentation on CT Scans. CoRR abs/2001.09174 (2020) - [i44]Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers:
Bone Suppression on Chest Radiographs With Adversarial Learning. CoRR abs/2002.03073 (2020) - [i43]Zhen Zeng, Jianzong Wang, Ning Cheng, Tian Xia, Jing Xiao:
AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment. CoRR abs/2003.01950 (2020) - [i42]Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Structured Landmark Detection via Topology-Adapting Deep Graph Learning. CoRR abs/2004.08190 (2020) - [i41]Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Chien-Yu Lin, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search. CoRR abs/2004.08426 (2020) - [i40]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans. CoRR abs/2005.12209 (2020) - [i39]Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHuang Liao, Adam P. Harrison:
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. CoRR abs/2005.13201 (2020) - [i38]Zhuotun Zhu, Ke Yan, Dakai Jin, Jinzheng Cai, Tsung-Ying Ho, Adam P. Harrison, Dazhou Guo, Chun-Hung Chao, Xianghua Ye, Jing Xiao, Alan L. Yuille, Le Lu:
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification. CoRR abs/2005.13705 (2020) - [i37]Ke Yan, Jinzheng Cai, Adam P. Harrison, Dakai Jin, Jing Xiao, Le Lu:
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets. CoRR abs/2005.13753 (2020) - [i36]Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning. CoRR abs/2006.15691 (2020) - [i35]Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Cheng, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao:
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images. CoRR abs/2007.01464 (2020) - [i34]Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Learning to Segment Anatomical Structures Accurately from One Exemplar. CoRR abs/2007.03052 (2020) - [i33]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. CoRR abs/2007.09791 (2020) - [i32]Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers:
One Click Lesion RECIST Measurement and Segmentation on CT Scans. CoRR abs/2007.11087 (2020) - [i31]Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison:
Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization. CoRR abs/2008.03352 (2020) - [i30]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification. CoRR abs/2008.05695 (2020) - [i29]Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu:
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans. CoRR abs/2008.10652 (2020) - [i28]Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang:
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. CoRR abs/2008.11853 (2020) - [i27]Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy. CoRR abs/2008.11870 (2020) - [i26]Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. CoRR abs/2008.13013 (2020) - [i25]Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison:
Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression. CoRR abs/2008.13254 (2020) - [i24]Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. CoRR abs/2009.02455 (2020) - [i23]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youvao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT. CoRR abs/2009.02577 (2020) - [i22]Ruchao Fan,