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ORCIDKai Ma 0002
Person information
- affiliation: Tencent, Jarvis Lab, Malata Building, Shenzhen, China
- affiliation: Tencent YouTu X- Lab, Shenzhen, China
Other persons with the same name
- Kai Ma — disambiguation page
- Kai Ma 0001
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— Shanghai Jiao Tong University, Department of Automation, China (and 2 more) - Kai Ma 0003 — Dalian University of Technology, School of Software, China
- Kai Ma 0004 — China Three Gorges University, College of Computer and Information Technology, Yichang, China (and 1 more)
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2020 – today
- 2024
[j29]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)- [j28]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) - [j27]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) - [j26]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) - [i58]Yutao Cui, Xiaotong Zhao, Guozhen Zhang, Shengming Cao, Kai Ma, Limin Wang:
StableDrag: Stable Dragging for Point-based Image Editing. CoRR abs/2403.04437 (2024) - [i57]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - 2023
- [j25]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) - [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) - [i56]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) - [i55]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
- [j23]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) - [j22]Wenting Chen, Shuang Yu, Kai Ma, Wei Ji, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TW-GAN: Topology and width aware GAN for retinal artery/vein classification. Medical Image Anal. 77: 102340 (2022) - [j21]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) - [j20]Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 26(7): 3174-3184 (2022) - [j19]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) - [j18]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) - [j17]Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng:
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 41(5): 1043-1056 (2022) - [j16]Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(11): 3062-3073 (2022) - [j15]Peiyin Chen, Zhongke Gao, Miaomiao Yin, Jialing Wu, Kai Ma, Celso Grebogi:
Multiattention Adaptation Network for Motor Imagery Recognition. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5127-5139 (2022) - [c53]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. AAAI 2022: 2307-2315 - [c52]Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng:
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. ECCV (20) 2022: 151-168 - [i54]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) - [i53]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) - [i52]Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network. CoRR abs/2203.03640 (2022) - [i51]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) - [i50]Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng:
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. CoRR abs/2203.10332 (2022) - [i49]Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. CoRR abs/2204.11090 (2022) - [i48]Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng:
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. CoRR abs/2207.08549 (2022) - 2021
- [j14]Renzhen Wang, Shilei Cao, Kai Ma, Yefeng Zheng, Deyu Meng:
Pairwise learning for medical image segmentation. Medical Image Anal. 67: 101876 (2021) - [j13]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) - [j12]Luyan Liu, Zhengdong Zhang, Shuai Li, Kai Ma, Yefeng Zheng:
S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation. Medical Image Anal. 74: 102214 (2021) - [j11]Zhongke Gao, Xinmin Wang, Yuxuan Yang, Yanli Li, Kai Ma, Guanrong Chen:
A Channel-Fused Dense Convolutional Network for EEG-Based Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 13(4): 945-954 (2021) - [j10]Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng:
A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data. IEEE Trans. Medical Imaging 40(10): 2656-2671 (2021) - [j9]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) - [j8]He Zhao, Qingqing Zheng, Kai Ma, Huiqi Li, Yefeng Zheng:
Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification. IEEE Trans. Neural Networks Learn. Syst. 32(2): 535-545 (2021) - [j7]Zhongke Gao, Wei-Dong Dang, Mingxu Liu, Wei Guo, Kai Ma, Guanrong Chen:
Classification of EEG Signals on VEP-Based BCI Systems With Broad Learning. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 7143-7151 (2021) - [c51]Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective. AAAI 2021: 634-642 - [c50]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 - [c49]Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng:
Calibrated RGB-D Salient Object Detection. CVPR 2021: 9471-9481 - [c48]Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng:
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling. CVPR 2021: 12341-12351 - [c47]Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng:
Multi-Anchor Active Domain Adaptation for Semantic Segmentation. ICCV 2021: 9092-9102 - [c46]Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng:
Stabilized Medical Image Attacks. ICLR 2021 - [c45]Yuexiang Li, Jiawei Chen, Kai Ma, Yefeng Zheng:
Feature Library: A Benchmark for Cervical Lesion Segmentation. IPMI 2021: 440-451 - [c44]Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng:
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation. IPMI 2021: 452-464 - [c43]Munan Ning, Cheng Bian, Dong Wei, Shuang Yu, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng:
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. IPMI 2021: 492-503 - [c42]Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. ISBI 2021: 38-41 - [c41]Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation. ISBI 2021: 921-924 - [c40]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 - [c39]Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li:
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. MICCAI (1) 2021: 3-13 - [c38]Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. MICCAI (3) 2021: 36-47 - [c37]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 - [c36]Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma, Yefeng Zheng:
Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification. MICCAI (8) 2021: 55-64 - [c35]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 - [c34]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 - [c33]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 - [c32]Yuexiang Li, Nanjun He, Sixiang Peng, Kai Ma, Yefeng Zheng:
Deep Reinforcement Exemplar Learning for Annotation Refinement. MICCAI (8) 2021: 487-496 - [c31]Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng:
Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression. MICCAI (5) 2021: 490-499 - [c30]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. MICCAI (5) 2021: 519-529 - [c29]Dong Wei, Kai Ma, Yefeng Zheng:
Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views. MICCAI (6) 2021: 526-536 - [i47]Luyan Liu, Zhiwei Wen, Songwei Liu, Hong-Yu Zhou, Hongwei Zhu, Weicheng Xie, Linlin Shen, Kai Ma, Yefeng Zheng:
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures. CoRR abs/2102.13280 (2021) - [i46]Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng:
Stabilized Medical Image Attacks. CoRR abs/2103.05232 (2021) - [i45]Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng:
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation. CoRR abs/2103.16344 (2021) - [i44]Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li:
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. CoRR abs/2106.01860 (2021) - [i43]Yi Lin, Yanfei Liu, Jingguang Liu, Guocai Liu, Kai Ma, Yefeng Zheng:
LE-NAS: Learning-based Ensenble with NAS for Dose Prediction. CoRR abs/2106.06733 (2021) - [i42]Quanziang Wang, Renzhen Wang, Yuexiang Li, Kai Ma, Yefeng Zheng, Deyu Meng:
Residual Moment Loss for Medical Image Segmentation. CoRR abs/2106.14178 (2021) - [i41]Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint. CoRR abs/2106.16000 (2021) - [i40]Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Jayender Jagadeesan, William M. Wells III, Sarah F. Frisken, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. CoRR abs/2107.02433 (2021) - [i39]Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation. CoRR abs/2107.08715 (2021) - [i38]Munan Ning, Cheng Bian, Dong Wei, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng:
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. CoRR abs/2108.07979 (2021) - [i37]Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng:
Multi-Anchor Active Domain Adaptation for Semantic Segmentation. CoRR abs/2108.08012 (2021) - [i36]Dong Wei, Kai Ma, Yefeng Zheng:
Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views. CoRR abs/2109.11715 (2021) - [i35]Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2109.13930 (2021) - [i34]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. CoRR abs/2110.04558 (2021) - [i33]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) - [i32]Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng:
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data. CoRR abs/2110.09260 (2021) - [i31]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
- [j6]Cheng Bian, Chenglang Yuan, Jiexiang Wang, Meng Li, Xin Yang, Shuang Yu, Kai Ma, Jin Yuan, Yefeng Zheng:
Uncertainty-aware domain alignment for anatomical structure segmentation. Medical Image Anal. 64: 101732 (2020) - [j5]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) - [j4]Zhongke Gao, Tao Yuan, Xinjun Zhou, Chao Ma, Kai Ma, Pan Hui:
A Deep Learning Method for Improving the Classification Accuracy of SSMVEP-Based BCI. IEEE Trans. Circuits Syst. 67-II(12): 3447-3451 (2020) - [j3]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) - [j2]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) - [j1]Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network. IEEE Trans. Medical Imaging 39(12): 4174-4185 (2020) - [c28]Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Generative Adversarial Networks for Video-to-Video Domain Adaptation. AAAI 2020: 3462-3469 - [c27]Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. CVPR 2020: 9159-9168 - [c26]Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng:
Deep Image Clustering with Category-Style Representation. ECCV (14) 2020: 54-70 - [c25]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 - [c24]Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng:
Dual Adversarial Network for Deep Active Learning. ECCV (24) 2020: 680-696 - [c23]Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng:
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. IJCAI 2020: 1047-1053 - [c22]Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng:
Ensembled ResUnet for Anatomical Brain Barriers Segmentation. MICCAI (Challenges) 2020: 27-33 - [c21]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 - [c20]Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng:
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification. MICCAI (1) 2020: 106-115 - [c19]Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng:
Superpixel-Guided Label Softening for Medical Image Segmentation. MICCAI (4) 2020: 227-237 - [c18]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 - [c17]Luyan Liu, Kai Ma, Yefeng Zheng:
Learning Crisp Edge Detector Using Logical Refinement Network. MICCAI (4) 2020: 332-341 - [c16]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 - [c15]Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng:
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations. MICCAI (1) 2020: 398-407 - [c14]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 - [c13]Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng:
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy. MICCAI (5) 2020: 585-594 - [c12]Lijun Gong, Kai Ma, Yefeng Zheng:
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications. MICCAI (2) 2020: 591-601 - [c11]Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng:
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation. MICCAI (1) 2020: 614-623 - [c10]Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. MICCAI (5) 2020: 616-625 - [c9]Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng:
A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. MICCAI (5) 2020: 725-734 - [c8]Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng:
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning. MICCAI (1) 2020: 731-740 - [c7]Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng:
Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling. MICCAI (1) 2020: 741-750 - [i30]Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation. CoRR abs/2003.07072 (2020) - [i29]Donghuan Lu, Sujun Zhao, Peng Xie, Kai Ma, Lijuan Liu, Yefeng Zheng:
Quality Control of Neuron Reconstruction Based on Deep Learning. CoRR abs/2003.08556 (2020) - [i28]Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Generative Adversarial Networks for Video-to-Video Domain Adaptation. CoRR abs/2004.08058 (2020) - [i27]Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng:
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. CoRR abs/2006.10990 (2020) - [i26]Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng:
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification. CoRR abs/2007.06371 (2020) - [i25]Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng:
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations. CoRR abs/2007.07423 (2020) - [i24]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. CoRR abs/2007.08826 (2020) - [i23]Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng:
Superpixel-Guided Label Softening for Medical Image Segmentation. CoRR abs/2007.08897 (2020) - [i22]Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng:
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. CoRR abs/2007.09337 (2020) - [i21]Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng:
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation. CoRR abs/2007.09854 (2020) - [i20]Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng:
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy. CoRR abs/2007.09968 (2020) - [i19]Lijun Gong, Kai Ma, Yefeng Zheng:
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications. CoRR abs/2007.09979 (2020) - [i18]Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng:
Deep Image Clustering with Category-Style Representation. CoRR abs/2007.10004 (2020) - [i17]Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng:
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation. CoRR abs/2007.10007 (2020) - [i16]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint. CoRR abs/2007.11180 (2020) - [i15]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Instance-aware Self-supervised Learning for Nuclei Segmentation. CoRR abs/2007.11186 (2020) - [i14]Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng:
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning. CoRR abs/2007.11355 (2020) - [i13]Luyan Liu, Kai Ma, Yefeng Zheng:
Learning Crisp Edge Detector Using Logical Refinement Network. CoRR abs/2007.12449 (2020) - [i12]Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng:
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling. CoRR abs/2007.14848 (2020) - [i11]Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. CoRR abs/2007.14852 (2020) - [i10]Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. CoRR abs/2012.09501 (2020) - [i9]Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng:
Ensembled ResUnet for Anatomical Brain Barriers Segmentation. CoRR abs/2012.14567 (2020)
2010 – 2019
- 2019
- [c6]Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng:
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks. CVPR 2019: 10619-10628 - [c5]Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng:
Seg4Reg Networks for Automated Spinal Curvature Estimation. CSI@MICCAI 2019: 69-74 - [c4]Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng:
Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network. MICCAI (6) 2019: 157-165 - [c3]Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng:
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster. MICCAI (6) 2019: 301-309 - [c2]Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng:
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. MICCAI (4) 2019: 420-428 - [c1]Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng:
Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. MICCAI (1) 2019: 769-778 - [i8]Sihong Chen, Kai Ma, Yefeng Zheng:
Med3D: Transfer Learning for 3D Medical Image Analysis. CoRR abs/1904.00625 (2019) - [i7]Sihong Chen, Kai Ma, Yefeng Zheng:
TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos. CoRR abs/1904.00631 (2019) - [i6]Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng:
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks. CoRR abs/1905.06902 (2019) - [i5]Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng:
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster. CoRR abs/1907.03958 (2019) - [i4]Sihong Chen, Weiping Yu, Kai Ma, Xinlong Sun, Xiaona Lin, Desheng Sun, Yefeng Zheng:
Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence. CoRR abs/1907.06941 (2019) - [i3]Jiexiang Wang, Cheng Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng:
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images. CoRR abs/1908.08242 (2019) - [i2]Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng:
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. CoRR abs/1910.02241 (2019) - [i1]Chenglang Yuan, Cheng Bian, Hongjian Kang, Shu Liang, Kai Ma, Yefeng Zheng:
Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks. CoRR abs/1910.10414 (2019)
Coauthor Index
[j29] [j28] [j27] [j26] [i57] [j25] [j24] [i56] [i55] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [c53] [c52] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [j14] [j13] [j12] [j10] [j9] [j8] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [j6] [j5] [j3] [j2] [j1] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [c6] [c5] [c4] [c3] [c2] [c1] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
Hongyu Zhou
aka: Hong-Yu Zhou
aka: Hong-Yu Zhou
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