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Yuexiang Li
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2020 – today
- 2024
- [j36]Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng:
Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine 149: 102801 (2024) - [j35]Yawen Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Guo-Jun Qi, Ling Shao, Yefeng Zheng:
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. Int. J. Comput. Vis. 132(11): 4937-4953 (2024) - [j34]Yuexiang Li, Zhiyong Zhang, Xinyong Wang, Shuaina Huang, Yaning Su:
IDaTPA: importance degree based thread partitioning approach in thread level speculation. Discov. Comput. 27(1): 13 (2024) - [j33]Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng:
Improving vision transformer for medical image classification via token-wise perturbation. J. Vis. Commun. Image Represent. 98: 104022 (2024) - [j32]Wentian Zhang, Haozhe Liu, Jinheng Xie, Yawen Huang, Yu Zhang, Yuexiang Li, Raghavendra Ramachandra, Yefeng Zheng:
Anomaly detection via gating highway connection for retinal fundus images. Pattern Recognit. 148: 110167 (2024) - [j31]Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. IEEE J. Biomed. Health Informatics 28(11): 6384-6394 (2024) - [j30]Qingsong Xie, Yuexiang Li, Nanjun He, Munan Ning, Kai Ma, Guoxing Wang, Yong Lian, Yefeng Zheng:
Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training. IEEE Trans. Medical Imaging 43(1): 4-14 (2024) - [j29]Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
Adversarial Medical Image With Hierarchical Feature Hiding. IEEE Trans. Medical Imaging 43(4): 1296-1307 (2024) - [j28]Quanziang Wang, Renzhen Wang, Yuexiang Li, Dong Wei, Hong Wang, Kai Ma, Yefeng Zheng, Deyu Meng:
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship. IEEE Trans. Multim. 26: 9683-9698 (2024) - [j27]Hong Wang, Qi Xie, Qian Zhao, Yuexiang Li, Yong Liang, Yefeng Zheng, Deyu Meng:
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8668-8682 (2024) - [c53]Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. AAAI 2024: 810-818 - [c52]Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng:
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. AAAI 2024: 2330-2338 - [c51]Huimin Huang, Yawen Huang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hao Zheng, Yuexiang Li, Yefeng Zheng:
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models. CVPR 2024: 28181-28190 - [c50]Qi Bi, Hao Zheng, Xu Sun, Jingjun Yi, Wentian Zhang, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification. ICASSP 2024: 1781-1785 - [c49]Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng:
A New Perspective to Boost Performance Fairness For Medical Federated Learning. MICCAI (10) 2024: 13-23 - [c48]Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Shaoxin Li, Yuexiang Li, Yefeng Zheng, Feiyue Huang:
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation. MICCAI (10) 2024: 438-448 - [c47]Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation. ACM Multimedia 2024: 8159-8168 - [i43]Zhe Kong, Wentian Zhang, Tao Wang, Kaihao Zhang, Yuexiang Li, Xiaoying Tang, Wenhan Luo:
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing. CoRR abs/2401.01102 (2024) - [i42]Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation. CoRR abs/2407.18568 (2024) - [i41]Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman Khan, Chun-Mei Feng:
A New Perspective to Boost Performance Fairness for Medical Federated Learning. CoRR abs/2410.19765 (2024) - 2023
- [j26]Qi Bi, Xu Sun, Shuang Yu, Kai Ma, Cheng Bian, Munan Ning, Nanjun He, Yawen Huang, Yuexiang Li, Hanruo Liu, Yefeng Zheng:
MIL-ViT: A multiple instance vision transformer for fundus image classification. J. Vis. Commun. Image Represent. 97: 103956 (2023) - [j25]Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng:
InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images. Medical Image Anal. 85: 102729 (2023) - [j24]Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training. Medical Image Anal. 89: 102933 (2023) - [j23]Yuxuan Shi, Hong Wang, Haoqin Ji, Haozhe Liu, Yuexiang Li, Nanjun He, Dong Wei, Yawen Huang, Qi Dai, Jianrong Wu, Xinrong Chen, Yefeng Zheng, Hongmeng Yu:
A deep weakly semi-supervised framework for endoscopic lesion segmentation. Medical Image Anal. 90: 102973 (2023) - [j22]Junliang Chen, Weizeng Lu, Yuexiang Li, Linlin Shen, Jinming Duan:
Adversarial Learning of Object-Aware Activation Map for Weakly-Supervised Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3935-3946 (2023) - [j21]Hexiang Zhou, Yawen Huang, Yuexiang Li, Yi Zhou, Yefeng Zheng:
Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation. IEEE J. Biomed. Health Informatics 27(3): 1409-1418 (2023) - [c46]Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng:
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. AAAI 2023: 917-925 - [c45]Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
Combating Mode Collapse via Offline Manifold Entropy Estimation. AAAI 2023: 8834-8842 - [c44]Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng:
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation. CVPR 2023: 11340-11349 - [c43]Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage. CVPR 2023: 16219-16229 - [c42]Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Interactive Segmentation as Gaussian Process Classification. CVPR 2023: 19488-19497 - [c41]Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou:
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. ICCV 2023: 7418-7427 - [c40]Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang, Yefeng Zheng:
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. ICCV 2023: 13272-13281 - [c39]Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng:
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. MICCAI (10) 2023: 109-120 - [c38]Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng:
Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation. ACM Multimedia 2023: 5214-5222 - [c37]Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
Learning Visual Prior via Generative Pre-Training. NeurIPS 2023 - [c36]Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem:
Dynamically Masked Discriminator for GANs. NeurIPS 2023 - [i40]Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng:
A New Perspective to Boost Vision Transformer for Medical Image Classification. CoRR abs/2301.00989 (2023) - [i39]Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Interactive Segmentation as Gaussian Process Classification. CoRR abs/2302.14578 (2023) - [i38]Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
Improving GAN Training via Feature Space Shrinkage. CoRR abs/2303.01559 (2023) - [i37]Jinheng Xie, Zhaochuan Luo, Yuexiang Li, Haozhe Liu, Linlin Shen, Mike Zheng Shou:
Open-World Weakly-Supervised Object Localization. CoRR abs/2304.08271 (2023) - [i36]Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
VisorGPT: Learning Visual Prior via Generative Pre-Training. CoRR abs/2305.13777 (2023) - [i35]Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. CoRR abs/2306.02673 (2023) - [i34]Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem:
Dynamically Masked Discriminator for Generative Adversarial Networks. CoRR abs/2306.07716 (2023) - [i33]Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng:
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. CoRR abs/2306.14274 (2023) - [i32]Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou:
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. CoRR abs/2307.10816 (2023) - [i31]Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu:
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. CoRR abs/2308.10910 (2023) - [i30]Dong Wei, Yawen Huang, Donghuan Lu, Yuexiang Li, Yefeng Zheng:
Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views. CoRR abs/2309.12805 (2023) - [i29]Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
Adversarial Medical Image with Hierarchical Feature Hiding. CoRR abs/2312.01679 (2023) - 2022
- [j20]Dapeng Du, Jiawei Chen, Yuexiang Li, Kai Ma, Gangshan Wu, Yefeng Zheng, Limin Wang:
Cross-Domain Gated Learning for Domain Generalization. Int. J. Comput. Vis. 130(11): 2842-2857 (2022) - [j19]Yuexiang Li, Jiawei Chen, Dong Wei, Yanchun Zhu, Jianrong Wu, Junfeng Xiong, Yadong Gang, Wenbo Sun, Haibo Xu, Tianyi Qian, Kai Ma, Yefeng Zheng:
Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data. IEEE J. Biomed. Health Informatics 26(1): 172-182 (2022) - [j18]Jiawei Chen, Ziqi Zhang, Xinpeng Xie, Yuexiang Li, Tao Xu, Kai Ma, Yefeng Zheng:
Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint. IEEE Trans. Medical Imaging 41(3): 595-607 (2022) - [j17]Hong Wang, Yuexiang Li, Nanjun He, Kai Ma, Deyu Meng, Yefeng Zheng:
DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images. IEEE Trans. Medical Imaging 41(4): 869-880 (2022) - [c35]Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng:
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks. ECCV (34) 2022: 183-199 - [c34]Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng:
Decoupled Mixup for Out-of-Distribution Visual Recognition. ECCV Workshops (6) 2022: 451-464 - [c33]Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng:
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. IJCAI 2022: 1401-1407 - [c32]Yuexiang Li, Nanjun He, Yawen Huang:
Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification. REMIA@MICCAI 2022: 32-41 - [c31]Jiuwen Zhu, Yuexiang Li, Lian Ding, S. Kevin Zhou:
Aggregative Self-supervised Feature Learning from Limited Medical Images. MICCAI (8) 2022: 57-66 - [c30]Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng:
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. MICCAI (5) 2022: 107-117 - [c29]Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. MICCAI (3) 2022: 249-260 - [c28]Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng:
A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. MICCAI (2) 2022: 656-666 - [c27]Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Orientation-Shared Convolution Representation for CT Metal Artifact Learning. MICCAI (6) 2022: 665-675 - [i28]Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images. CoRR abs/2202.08195 (2022) - [i27]Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. CoRR abs/2203.02390 (2022) - [i26]Heqin Zhu, Xu Sun, Yuexiang Li, Kai Ma, S. Kevin Zhou, Yefeng Zheng:
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection. CoRR abs/2203.06429 (2022) - [i25]Haozhe Liu, Haoqin Ji, Yuexiang Li, Nanjun He, Haoqian Wu, Feng Liu, Linlin Shen, Yefeng Zheng:
Robust Representation via Dynamic Feature Aggregation. CoRR abs/2205.07466 (2022) - [i24]Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng:
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. CoRR abs/2205.07471 (2022) - [i23]Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng:
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. CoRR abs/2206.02425 (2022) - [i22]Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
Combating Mode Collapse in GANs via Manifold Entropy Estimation. CoRR abs/2208.12055 (2022) - [i21]Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays. CoRR abs/2209.01988 (2022) - [i20]Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng:
Decoupled Mixup for Generalized Visual Recognition. CoRR abs/2210.14783 (2022) - [i19]Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Orientation-Shared Convolution Representation for CT Metal Artifact Learning. CoRR abs/2212.13166 (2022) - 2021
- [j16]Yuexiang Li, Zhi-Hua Liu, Peng Xue, Jiawei Chen, Kai Ma, Tianyi Qian, Yefeng Zheng, Youlin Qiao:
GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description. Medical Image Anal. 70: 102006 (2021) - [j15]Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf:
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage 238: 118216 (2021) - [j14]He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng:
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features. IEEE Trans. Medical Imaging 40(12): 3641-3651 (2021) - [c26]Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng:
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. BMVC 2021: 128 - [c25]Yuexiang Li, Jiawei Chen, Kai Ma, Yefeng Zheng:
Feature Library: A Benchmark for Cervical Lesion Segmentation. IPMI 2021: 440-451 - [c24]Xing Tao, Chenglang Yuan, Cheng Bian, Yuexiang Li, Kai Ma, Dong Ni, Yefeng Zheng:
The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization. ISBI 2021: 1284-1287 - [c23]Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng:
MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification. MICCAI (8) 2021: 45-54 - [c22]Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng:
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction. MICCAI (6) 2021: 107-118 - [c21]Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. MICCAI (8) 2021: 108-118 - [c20]Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng:
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. MICCAI (5) 2021: 449-458 - [c19]Yuexiang Li, Nanjun He, Sixiang Peng, Kai Ma, Yefeng Zheng:
Deep Reinforcement Exemplar Learning for Annotation Refinement. MICCAI (8) 2021: 487-496 - [i18]Quanziang Wang, Renzhen Wang, Yuexiang Li, Kai Ma, Yefeng Zheng, Deyu Meng:
Residual Moment Loss for Medical Image Segmentation. CoRR abs/2106.14178 (2021) - [i17]Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint. CoRR abs/2106.16000 (2021) - [i16]Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng:
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. CoRR abs/2110.08866 (2021) - [i15]Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng:
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images. CoRR abs/2112.12660 (2021) - [i14]Quanziang Wang, Yuexiang Li, Dong Wei, Renzhen Wang, Kai Ma, Yefeng Zheng, Deyu Meng:
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship. CoRR abs/2112.15402 (2021) - 2020
- [j13]Jiuwen Zhu, Yuexiang Li, Yifan Hu, Kai Ma, S. Kevin Zhou, Yefeng Zheng:
Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis. Medical Image Anal. 64: 101746 (2020) - [j12]Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Yanwu Xu:
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. Medical Image Anal. 66: 101798 (2020) - [j11]Yuexiang Li, Dong Wei, Jiawei Chen, Shilei Cao, Hongyu Zhou, Yanchun Zhu, Jianrong Wu, Lan Lan, Wenbo Sun, Tianyi Qian, Kai Ma, Haibo Xu, Yefeng Zheng:
Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank. IEEE J. Biomed. Health Informatics 24(10): 2787-2797 (2020) - [j10]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) - [j9]Yuexiang Li, Jiawei Chen, Peng Xue, Chao Tang, Jia Chang, Chunyan Chu, Kai Ma, Qing Li, Yefeng Zheng, Youlin Qiao:
Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images. IEEE Trans. Medical Imaging 39(11): 3403-3415 (2020) - [c18]Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Generative Adversarial Networks for Video-to-Video Domain Adaptation. AAAI 2020: 3462-3469 - [c17]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. ECCV (20) 2020: 498-513 - [c16]Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng:
Dual Adversarial Network for Deep Active Learning. ECCV (24) 2020: 680-696 - [c15]Yuexiang Li, Jiawei Chen, Yefeng Zheng:
A Multi-Task Self-Supervised Learning Framework for Scopy Images. ISBI 2020: 2005-2009 - [c14]Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng:
Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network. CADA@MICCAI 2020: 87-92 - [c13]Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng:
Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation. MICCAI (4) 2020: 238-248 - [c12]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Instance-Aware Self-supervised Learning for Nuclei Segmentation. MICCAI (5) 2020: 341-350 - [c11]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
MI2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint. MICCAI (2) 2020: 516-525 - [c10]