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• affiliation:Hong Kong University of Science and Technology, Hong Kong
• affiliation:Imsight Medical Technology, Co., Ltd., Shenzhen, China
• affiliation:Chinese University of Hong Kong, Computer Science and Engineering, Hong Kong

• Hao Chen —disambiguation page
• Hao Chen0001 —Boise State University, ID, USA(and 1 more)
• Hao Chen0002 —Hunan University, Changsha, China(and 1 more)
• Hao Chen0003 —University of California, Davis, CA, USA(and 1 more)
• Hao Chen0004 —Pacific Forestry Centre, Victoria, BC, Canada(and 1 more)
• Hao Chen0005 — Wuhan University, China
• Hao Chen0006 — State University of New York, Binghamton, NY, USA
• Hao Chen0007 —University of Tennessee Health Science Center, Memphis, TN, USA(and 1 more)
• Hao Chen0008 — University of Sydney
• Hao Chen0009 — DePaul University, Chicago, USA

• Hao Chen0010 —Samsung Research America, Inc., Richardson, TX, USA(and 1 more)
• Hao Chen0012 — Tongji University, Department of Mathematics, Shanghai, China
• Hao Chen0013 —Beijing University of Posts and Telecommunications Shenzhen Institute, Shenzhen, China(and 2 more)
• Hao Chen0014 — Harbin Institute of Technology, Department of Information Engineering, China
• Hao Chen0015 —Chongqing Normal University, School of Mathematics, China(and 1 more)
• Hao Chen0016 —University of Luxembourg, Luxembourg(and 3 more)
• Hao Chen0017 —University of Michigan, Ann Arbor, MI, USA(and 1 more)
• Hao Chen0018 — Shanghai University of Engineering Science, China
• Hao Chen0019 — Xi'an University of Technology, School of Mechanical & Instrumental Engineering, China
• Hao Chen0020 —Shanghai Maritime University, China(and 1 more)
• Hao Chen0021 —University of Waterloo, ON, Canada(and 4 more)
• Hao Chen0022 — Nanjing University, School of Electronic Science and Engineering, China
• Hao Chen0023 —University of Electronic Science and Technology of China, Chengdu, China(and 1 more)
• Hao Chen0024 —Amazon Web Services, Seattle, WA, USA(and 1 more)
• Hao Chen0025 —China University of Mining and Technology, School of Electrical and Power Engineering, Xuzhou, China(and 2 more)
• Hao Chen0026 — Southeast University, National ASIC System Engineering Research Center, Nanjing, China
• Hao Chen0027 — Zhejiang University, College of Control Science and Engineering, State Key Laboratory of Industrial Control Technology, Hangzhou, China
• Hao Chen0028 — University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia
• Hao Chen0029 —Jinan University, College of Information Science and Technology / College of Cyber Security, Guangzhou, China(and 2 more)
• Hao Chen0030 — Microsoft Research, Redmond, WA, USA
• Hao Chen0031 —Chinese Academy of Sciences, Quanzhou Institute of Equipment Manufacturing, Jinjiang, China(and 1 more)
• Hao Chen0032 — University of York, UK
• Hao Chen0033 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
• Hao Chen0034 — City University of Hong Kong, Department of Mechanical Engineering, Hong Kong
• Hao Chen0035 — University of Chinese Academy of Sciences, College of Materials Science and Opto-Electronic Technology, Beijing, China
• Hao Chen0036 —Nanjing University, School of Electronic Science and Engineering, Nanjing, China(and 1 more)
• Hao Chen0037 — University of Twente, Department of Biomechanical Engineering, The Netherlands
• Hao Chen0038 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
• Hao Chen0039 —Beijing Institute of Technology, School of Automation, China(and 1 more)
• Hao Chen0040 — Hunan Normal University, Key Laboratory of Low-dimensional Quantum Structures and Quantum Control of Ministry of Education, Changsha, China
• Hao Chen0041 — University of Adelaide, School of Computer Science, SA, Australia
• Hao Chen0042 — Central South University of Forestry and Technology, Changsha, China
• Hao Chen0043 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
• Hao Chen0044 — National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China
• Hao Chen0045 —Shanghai Artificial Intelligence Laboratory, Shanghai, China(and 1 more)
• Hao Chen0046 — National University of Defense Technology, College of Electronic Science, Changsha, China
• Hao Chen0047 — University of Electronic Science and Technology of China, Chengdu, China
• Hao Chen0048 — KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden
• Hao Chen0049 — Xi'an University of Posts and Telecommunications, School of Computer Science and Technology, China
• Hao Chen0050 — Ningbo University, Faculty of Electrical Engineering and Computer Science, China
• Hao Chen0051 —Hunan University, College of Computer Science and Electronic Engineering, Changsha, China(and 1 more)
• Hao Chen0052 — Northeastern University, College of Medicine and Biological Information Engineering, Microscopic Image and Medical Image Analysis Group, Shenyang, China
• Hao Chen0053 — Taiwan Semiconductor Manufacturing Company, Ltd, Hsinchu, Taiwan
• Hao Chen0054 —Tsinghua University, Department of Materials Science and Engineering, Beijing, China(and 3 more)
• Hao Chen0055 — Qingdao University, School of Business, China
• Hao Chen0056 — Georgia Institute of Technology, Atlanta, GA, USA
• Hao Chen0057 — Chang Gung University, Graduate Institute of Business and Management, Taoyuan City, Taiwan
• Hao Chen0058 — Fujitsu R&D Center, Beijing, China
• Hao Chen0059 — University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, TX, USA
• Hao Chen0060 — Nanchang Hangkong University, School of Information Engineering, Key Laboratory of Nondestructive Testing, Nanchang, China
• Hao Chen0061 —University of Côte d'Azur, INRIA, Valbonne, France(and 1 more)
• Hao Chen0062 —Hong Kong Polytechnic University(and 1 more)
• Hao Chen0063 — Tongji University, College of Surveying and Geo-Informatics, Shanghai, China
• Hao Chen0064 —University of California at Davis, Department of Statistics, Davis, CA, USA(and 1 more)
• Hao Chen0065 — Osaka University, Graduate School of Engineering Science, Department of Systems Innovation, Osaka, Japan
• Hao Chen0066 —University of Maryland, College Park, MD, USA(and 1 more)
• Hao Chen0067 — University of Wisconsin-Madison, Department of Statistics, Madison, WI, USA
• Hao Chen0068 — University of Maryland Baltimore County, Department of Computer Science and Electrical Engineering, Baltimore, MD, USA
• Hao Chen0069 — China University of Mining and Technology, School of Mechanical Electronic and Information Engineering, Beijing, China
• Hao Chen0070 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
• Hao Chen0071 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
• Hao Chen0072 — Hefei University of Technology, College of Civil Engineering, Hefei, China
• Hao Chen0073 — Technical University of Berlin, Institute of Geodesy and Geoinformation Science, Berlin, Germany
• Hao Chen0074 — Shanghai Jiao Tong University, School of Mechanical Engineering and MoE Key Lab of Artificial Intelligence, Shanghai, China
• Hao Chen0075 — Henan Polytechnic University, School of Emergency Management, Jiaozuo, China
• Hao Chen0076 — North China Electric Power University, Department of Electrical Engineering, Baoding, China
• Hao Chen0077 — Beihang University, School of Aeronautic Science and Engineering, Beijing, China
• Hao Chen0078 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
• Hao Chen0079 — Second Hospital of Jilin University, Department of Orthopedics, Changchun, China
• Hao Chen0080 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
• Hao Chen0081 — University of Chinese Academy of Sciences, HwaMei Hospital, Ningbo Institute of Life and Health Industry, Ningbo, China
• Hao Chen0082 — Chinese Academy of Sciences, Institute of Tibetan Plateau Research, Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Beijing, China
• Hao Chen0083 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
• Hao Chen0084 — South China University of Technology, School of Electronic and Information, Guangzhou, China
• Hao Chen0085 — Lanzhou University, School of Civil Engineering and Mechanics, Lanzhou, China
• Hao Chen0086 — Harbin Institute of Technology, School of Electrical Engineering, Harbin, China
• Hao Chen0087(aka: Howard Chen0008) — BMW Brilliance Automotive Ltd., Shenyang, China
• Hao Chen0088 — China Tobacco Guangxi Industrial Company Ltd., Nanning, China
• Hao Chen0089 — Affiliated Hospital of Nantong University, Information Department, Nantong, China
• Hao Chen0090 — Changzhou University, School of Information Science and Engineering, Changzhou, China
• Hao Chen0091 —Westlake University, School of Engineering, Hangzhou, China(and 1 more)
• Hao Chen0092 — Chinese Academy of Sciences, Northwest Institute of Eco-Environment and Resources, Lanzhou, China
• Hao Chen0093 —China Electronics Technology Corporation, 55th Research Institute, Nanjing, China(and 1 more)
• Hao Chen0094 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
• Hao Chen0095 —East China Normal University, Software Engineering Institute, Shanghai, China(and 1 more)
• Hao Chen0096 — Zhongshan University, Department of Mathematics, Guangdong, China
• Hao Chen0097 — University of California, Department of Computer Science and Engineering, Riverside, CA, USA
• Hao Chen0099 —National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China(and 1 more)
• Hao Chen0100 —Virginia Tech Transportation Institute, Blacksburg, VA, USA(and 1 more)
• Hao Chen0101 — Wenzhou Medical University, Eye Hospital, School of Ophthalmology & Optometry, Wenzhou, China
• Hao Chen0102 — Carnegie Mellon University, PA, USA
• Hao Chen0103 —University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China(and 1 more)
• Hao Chen0104 —NielsenIQ, Research & Development, Precima, Chicago, IL, USA(and 1 more)
• Hao Chen0105 — Nankai University, Department of Social Psychology, Tianjin, China
• Hao Chen0106 — Guangzhou University, Machine Life and Intelligence Research Centre, School of Mathematics and Information Science, China
• Hao Chen0107 — Zhejiang University, School of Aeronautics and Astronautics, China
• Hao Chen0108 — Nanyang Technological University, School of Mechanical and Aerospace Engineering, Jurong West, Singapore

• Robert Chen-Hao Chang(aka: Robert C. Chang) — National Chung Hsing University, Taiwan
• Bohao Chen(aka: Bo-Hao Chen)
• Chun-Hao Chen
• Haotian Chen(aka: Hao-Tian Chen) —disambiguation page
• Haoyu Chen(aka: Hao-Yu Chen) —disambiguation page
• Linghao Chen(aka: Ling-Hao Chen) —disambiguation page
• Wenhao Chen(aka: Wen-Hao Chen) —disambiguation page
• Yunhao Chen(aka: Yun-Hao Chen) —disambiguation page
• Zhihao Chen(aka: Zhi-hao Chen, Zhi-Hao Chen) —disambiguation page
• Xiaochen Hao(aka: Xiao-Chen Hao)
• show all similar names

• 2025
• 
  [j68]
  Tao Chen,Liang Lv,Di Wang,Jing Zhang,Yue Yang,Zeyang Zhao,Chen Wang,Xiaowei Guo,Hao Chen,Qingye Wang,Yufei Xu,Qiming Zhang,Bo Du,Liangpei Zhang,Dacheng Tao:
  Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities.ACM Comput. Surv.57(2):49:1-49:37 (2025)
• 
  [j67]
  Junhao Dong,Junxi Chen,Xiaohua Xie,Jianhuang Lai,Hao Chen:
  Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges.ACM Comput. Surv.57(3):79:1-79:38 (2025)
• 
  [j66]
  Yifeng Wang,Luyang Luo,Mingxiang Wu,Qiong Wang,Hao Chen:
  Learning robust medical image segmentation from multi-source annotations.Medical Image Anal.101:103489 (2025)
• 
  [j65]
  Yu Cai,Weiwen Zhang,Hao Chen,Kwang-Ting Cheng:
  MedIAnomaly: A comparative study of anomaly detection in medical images.Medical Image Anal.102:103500 (2025)
• 
  [j64]
  Hao Chen,Longfei Gou,Zhiwen Fang,Qi Dou,Haobin Chen,Chang Chen,Yuqing Qiu,Jinglin Zhang,Chenglin Ning,Yanfeng Hu,Haijun Deng,Jiang Yu,Guoxin Li:
  Artificial intelligence assisted real-time recognition of intra-abdominal metastasis during laparoscopic gastric cancer surgery.npj Digit. Medicine8(1) (2025)
• 
  [j63]
  Renao Yan,Qiehe Sun,Cheng Jin,Yiqing Liu,Yonghong He,Tian Guan,Hao Chen:
  Shapley Values-Enabled Progressive Pseudo Bag Augmentation for Whole-Slide Image Classification.IEEE Trans. Medical Imaging44(1):588-597 (2025)
• 
  [j62]
  Huajun Zhou,Fengtao Zhou,Hao Chen:
  Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis.IEEE Trans. Medical Imaging44(2):656-667 (2025)
• 
  [j61]
  Shu Yang,Lu Zhang,Shuai Liu,Huchuan Lu,Hao Chen:
  Real-Time Semantic Segmentation via a Densely Aggregated Bilateral Network.IEEE Trans. Neural Networks Learn. Syst.36(1):381-392 (2025)
• 
  [j60]
  Bo Qian,Hao Chen,Yupeng Xu,Yang Wen,Huating Li,Yuan Xie,David Dagan Feng,Jinman Kim,Lei Bi,Xun Xu,Xiangui He,Bin Sheng:
  Deep contour attention learning for scleral deformation from OCT images.Vis. Comput.41(2):1155-1170 (2025)
• 
  [e6]
  Bhavna Josephine Antony,Hao Chen,Huihui Fang,Huazhu Fu,Cecilia S. Lee:
  Ophthalmic Medical Image Analysis - 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings.Lecture Notes in Computer Science 15188,Springer2025, ISBN978-3-031-73118-1[contents]
• 
  [i128]
  Haoxuan Che,Yifei Wu,Haibo Jin,Yong Xia,Hao Chen:
  FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis.CoRRabs/2501.13967 (2025)
• 
  [i127]
  Yuxiang Nie,Sunan He,Yequan Bie,Yihui Wang,Zhixuan Chen,Shu Yang,Hao Chen:
  ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-training.CoRRabs/2501.15579 (2025)
• 
  [i126]
  Hao Jiang,Cheng Jin,Huangjing Lin,Yanning Zhou,Xi Wang,Jiabo Ma,Li Ding,Jun Hou,Runsheng Liu,Zhizhong Chai,Luyang Luo,Huijuan Shi,Yinling Qian,Qiong Wang,Changzhong Li,Anjia Han,Ronald Cheong Kin Chan,Hao Chen:
  Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation.CoRRabs/2502.09662 (2025)
• 
  [i125]
  Linshan Wu,Jiaxin Zhuang,Yanning Zhou,Sunan He,Jiabo Ma,Luyang Luo,Xi Wang,Xuefeng Ni,Xiaoling Zhong,Mingxiang Wu,Yinghua Zhao,Xiaohui Duan,Varut Vardhanabhuti,Pranav Rajpurkar,Hao Chen:
  FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition.CoRRabs/2502.18519 (2025)
• 2024
• 
  [j59]
  Wenfeng Huang,Xiangyun Liao,Hao Chen,Ying Hu,Wenjing Jia,Qiong Wang:
  Deep local-to-global feature learning for medical image super-resolution.Comput. Medical Imaging Graph.115:102374 (2024)
• 
  [j58]
  Qian Li,Chao Ma,Hao Chen,Xinyuan Chen,Xiaokang Yang:
  Combinatorial progressive architecture search for crowd counting.Displays83:102686 (2024)
• 
  [j57]
  Zhikang Wang,Jiani Ma,Qian Gao,Chris Bain,Seiya Imoto,Pietro Liò,Hongmin Cai,Hao Chen,Jiangning Song:
  Dual-stream multi-dependency graph neural network enables precise cancer survival analysis.Medical Image Anal.97:103252 (2024)
• 
  [j56]
  Bo Qian,Hao Chen,Xiangning Wang,Zhouyu Guan,Tingyao Li,Yixiao Jin,Yilan Wu,Yang Wen,Haoxuan Che,Gitaek Kwon,Jaeyoung Kim,Sungjin Choi,Seoyoung Shin,Felix Krause,Markus Unterdechler,Junlin Hou,Rui Feng,Yihao Li,Mostafa El Habib Daho,Dawei Yang,Bin Sheng:
  DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images.Patterns5(3):100929 (2024)
• 
  [j55]
  Hao Chen,Tao Chen,Yuxiang Zhang,Bo Du,Antonio Plaza:
  DSFC-AE: A New Hyperspectral Unmixing Method Based on Deep Shared Fully Connected Autoencoder.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.17:15746-15760 (2024)
• 
  [j54]
  Yi Lin,Yanfei Liu,Hao Chen,Xin Yang,Kai Ma,Yefeng Zheng,Kwang-Ting Cheng:
  LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction.IEEE Trans. Cybern.54(10):5795-5805 (2024)
• 
  [j53]
  Haibo Jin,Haoxuan Che,Hao Chen:
  Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach.IEEE Trans. Image Process.33:4952-4965 (2024)
• 
  [j52]
  Jiachen Zhao,Tianshu Jiang,Yi Lin,Lok-Chun Chan,Ping-Keung Chan,Chun-Yi Wen,Hao Chen:
  Adaptive Fusion of Deep Learning With Statistical Anatomical Knowledge for Robust Patella Segmentation From CT Images.IEEE J. Biomed. Health Informatics28(5):2842-2853 (2024)
• 
  [j51]
  Luyang Luo,Daguang Xu,Jing Qin,Yueming Jin,Hao Chen:
  Guest Editorial: Trustworthy Machine Learning for Health Informatics.IEEE J. Biomed. Health Informatics28(11):6370-6372 (2024)
• 
  [j50]
  Yan Pang,Jiaming Liang,Teng Huang,Hao Chen,Yunhao Li,Dan Li,Lin Huang,Qiong Wang:
  Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under Limited Computational Resources.IEEE Trans. Medical Imaging43(3):994-1005 (2024)
• 
  [j49]
  Jiabo Ma,Hao Chen:
  Efficient Supervised Pretraining of Swin-Transformer for Virtual Staining of Microscopy Images.IEEE Trans. Medical Imaging43(4):1388-1399 (2024)
• 
  [j48]
  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 Imaging43(5):1972-1982 (2024)
• 
  [j47]
  Yi Lin,Zeyu Wang,Dong Zhang,Kwang-Ting Cheng,Hao Chen:
  BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels.IEEE Trans. Medical Imaging43(6):2137-2147 (2024)
• 
  [j46]
  Hongyi Wang,Luyang Luo,Fang Wang,Ruofeng Tong,Yen-Wei Chen,Hongjie Hu,Lanfen Lin,Hao Chen:
  Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.IEEE Trans. Medical Imaging43(11):3964-3976 (2024)
• 
  [c81]
  Yequan Bie,Luyang Luo,Hao Chen:
  MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment.AAAI2024:837-845
• 
  [c80]
  Haibo Jin,Haoxuan Che,Yi Lin,Hao Chen:
  PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation.AAAI2024:2607-2615
• 
  [c79]
  Wenqiang Li,Luyang Luo,Hao Chen:
  Bootstrapping Radiography Pre-training via Siamese Masked Vision-Language Modeling with Complementary Self-distillation.BIBM2024:1573-1578
• 
  [c78]
  Runsheng Liu,Hao Jiang,Yanning Zhou,Huangjing Lin,Liansheng Wang,Hao Chen:
  GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation.BIBM2024:2217-2223
• 
  [c77]
  Hao Jiang,Runsheng Liu,Yanning Zhou,Huangjing Lin,Hao Chen:
  Holistic and Historical Instance Comparison for Cervical Cell Detection.BIBM2024:3341-3346
• 
  [c76]
  Andong Tan,Fengtao Zhou,Hao Chen:
  Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts.ECCV (86)2024:123-138
• 
  [c75]
  Qinyu Yang,Hao Chen,Yong Zhang,Menghan Xia,Xiaodong Cun,Zhixun Su,Ying Shan:
  Noise Calibration: Plug-and-Play Content-Preserving Video Enhancement Using Pre-trained Video Diffusion Models.ECCV (36)2024:307-326
• 
  [c74]
  Jinbo Xing,Menghan Xia,Yong Zhang,Hao Chen,Wangbo Yu,Hanyuan Liu,Gongye Liu,Xintao Wang,Ying Shan,Tien-Tsin Wong:
  DynamiCrafter: Animating Open-Domain Images with Video Diffusion Priors.ECCV (46)2024:399-417
• 
  [c73]
  Andong Tan,Fengtao Zhou,Hao Chen:
  Post-hoc Part-Prototype Networks.ICML2024
• 
  [c72]
  Xiao Fang,Yi Lin,Dong Zhang,Kwang-Ting Cheng,Hao Chen:
  Aligning Medical Images with General Knowledge from Large Language Models.MICCAI (10)2024:57-67
• 
  [c71]
  Yihuang Hu,Qiong Peng,Zhicheng Du,Guojun Zhang,Huisi Wu,Jingxin Liu,Hao Chen,Liansheng Wang:
  Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model.MICCAI (3)2024:67-76
• 
  [c70]
  Yuanhang Zheng,Yiqiao Qiu,Haoxuan Che,Hao Chen,Wei-Shi Zheng,Ruixuan Wang:
  Deep Model Reference: Simple Yet Effective Confidence Estimation for Image Classification.MICCAI (10)2024:175-185
• 
  [c69]
  Zhengrui Guo,Jiabo Ma,Yingxue Xu,Yihui Wang,Liansheng Wang,Hao Chen:
  HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-Modal Context Interaction.MICCAI (4)2024:189-199
• 
  [c68]
  Zhipeng Deng,Luyang Luo,Hao Chen:
  Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging.MICCAI (10)2024:240-250
• 
  [c67]
  Shu Yang,Yihui Wang,Hao Chen:
  MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology.MICCAI (4)2024:296-306
• 
  [c66]
  Conghao Xiong,Hao Chen,Hao Zheng,Dong Wei,Yefeng Zheng,Joseph J. Y. Sung,Irwin King:
  MoME: Mixture of Multimodal Experts for Cancer Survival Prediction.MICCAI (4)2024:318-328
• 
  [c65]
  Shuhan Li,Yi Lin,Hao Chen,Kwang-Ting Cheng:
  Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification.MICCAI (5)2024:371-381
• 
  [c64]
  Conghao Xiong,Yi Lin,Hao Chen,Hao Zheng,Dong Wei,Yefeng Zheng,Joseph J. Y. Sung,Irwin King:
  TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification.MICCAI (4)2024:503-513
• 
  [c63]
  Yi Gu,Yi Lin,Kwang-Ting Cheng,Hao Chen:
  Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection.MICCAI (6)2024:520-530
• 
  [c62]
  Yu Cai,Hao Chen,Kwang-Ting Cheng:
  Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective.MICCAI (11)2024:544-554
• 
  [c61]
  Tongkun Su,Jun Li,Xi Zhang,Hai Jin,Hao Chen,Qiong Wang,Faqin Lv,Baoliang Zhao,Ying Hu:
  Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training.MICCAI (4)2024:602-612
• 
  [c60]
  Shu Yang,Luyang Luo,Qiong Wang,Hao Chen:
  Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition.MICCAI (6)2024:606-616
• 
  [c59]
  Yequan Bie,Luyang Luo,Zhixuan Chen,Hao Chen:
  XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-Guided Context Optimization.MICCAI (12)2024:773-783
• 
  [e5]
  Bin Sheng,Hao Chen,Tien Yin Wong:
  Myopic Maculopathy Analysis - MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8-12, 2023, Proceedings.Lecture Notes in Computer Science 14563,Springer2024, ISBN978-3-031-54856-7[contents]
• 
  [e4]
  Hao Chen,Yuyin Zhou,Daguang Xu,Varut Vince Vardhanabhuti:
  Trustworthy Artificial Intelligence for Healthcare - Second International Workshop, TAI4H 2024, Jeju, South Korea, August 4, 2024, Proceedings.Lecture Notes in Computer Science 14812,Springer2024, ISBN978-3-031-67750-2[contents]
• 
  [i124]
  Yi Lin,Zeyu Wang,Dong Zhang,Kwang-Ting Cheng,Hao Chen:
  BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels.CoRRabs/2401.07437 (2024)
• 
  [i123]
  Yequan Bie,Luyang Luo,Hao Chen:
  MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment.CoRRabs/2401.08527 (2024)
• 
  [i122]
  Luyang Luo,Xin Huang,Minghao Wang,Zhuoyue Wan,Hao Chen:
  Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council.CoRRabs/2401.11713 (2024)
• 
  [i121]
  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.CoRRabs/2401.11847 (2024)
• 
  [i120]
  Jiancheng Yang,Rui Shi,Liang Jin,Xiaoyang Huang,Kaiming Kuang,Donglai Wei,Shixuan Gu,Jianying Liu,Pengfei Liu,Zhizhong Chai,Yongjie Xiao,Hao Chen,Liming Xu,Bang Du,Xiangyi Yan,Hao Tang,Adam M. Alessio,Gregory Holste,Jiapeng Zhang,Xiaoming Wang,Jianye He,Lixuan Che,Hanspeter Pfister,Ming Li,Bingbing Ni:
  Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge.CoRRabs/2402.09372 (2024)
• 
  [i119]
  Zhengrui Guo,Jiabo Ma,Yingxue Xu,Yihui Wang,Liansheng Wang,Hao Chen:
  HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction.CoRRabs/2403.05396 (2024)
• 
  [i118]
  Shuhan Li,Yi Lin,Hao Chen,Kwang-Ting Cheng:
  Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification.CoRRabs/2403.08407 (2024)
• 
  [i117]
  Yu Cai,Hao Chen,Kwang-Ting Cheng:
  Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective.CoRRabs/2403.09303 (2024)
• 
  [i116]
  Yequan Bie,Luyang Luo,Zhixuan Chen,Hao Chen:
  XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization.CoRRabs/2403.09410 (2024)
• 
  [i115]
  Zhikang Wang,Yumeng Zhang,Yingxue Xu,Seiya Imoto,Hao Chen,Jiangning Song:
  Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images.CoRRabs/2403.10040 (2024)
• 
  [i114]
  Yi Lin,Zhengjie Zhu,Kwang-Ting Cheng,Hao Chen:
  Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification.CoRRabs/2403.12537 (2024)
• 
  [i113]
  Zhixuan Chen,Luyang Luo,Yequan Bie,Hao Chen:
  Dia-LLaMA: Towards Large Language Model-driven CT Report Generation.CoRRabs/2403.16386 (2024)
• 
  [i112]
  Fengtao Zhou,Yingxue Xu,Yanfen Cui,Shenyan Zhang,Yun Zhu,Weiyang He,Jiguang Wang,Xin Wang,Ronald Chan,Louis Ho Shing Lau,Chu Han,Dafu Zhang,Zhenhui Li,Hao Chen:
  iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer.CoRRabs/2404.01192 (2024)
• 
  [i111]
  Huajun Zhou,Fengtao Zhou,Hao Chen:
  Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis.CoRRabs/2404.02394 (2024)
• 
  [i110]
  Yu Cai,Weiwen Zhang,Hao Chen,Kwang-Ting Cheng:
  MedIAnomaly: A comparative study of anomaly detection in medical images.CoRRabs/2404.04518 (2024)
• 
  [i109]
  Haibo Jin,Haoxuan Che,Hao Chen:
  Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach.CoRRabs/2404.04556 (2024)
• 
  [i108]
  Jiaxin Zhuang,Linshan Wu,Qiong Wang,Varut Vardhanabhuti,Lin Luo,Hao Chen:
  MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis.CoRRabs/2404.15580 (2024)
• 
  [i107]
  Rui Xu,Shu Yang,Yihui Wang,Bo Du,Hao Chen:
  A Survey on Vision Mamba: Models, Applications and Challenges.CoRRabs/2404.18861 (2024)
• 
  [i106]
  Fangzhou Han,Lingyu Si,Hongwei Dong,Lamei Zhang,Hao Chen,Bo Du:
  Exploring Text-Guided Single Image Editing for Remote Sensing Images.CoRRabs/2405.05769 (2024)
• 
  [i105]
  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.CoRRabs/2405.18849 (2024)
• 
  [i104]
  Andong Tan,Fengtao Zhou,Hao Chen:
  Post-hoc Part-prototype Networks.CoRRabs/2406.03421 (2024)
• 
  [i103]
  Conghao Xiong,Hao Chen,Hao Zheng,Dong Wei,Yefeng Zheng,Joseph J. Y. Sung,Irwin King:
  MoME: Mixture of Multimodal Experts for Cancer Survival Prediction.CoRRabs/2406.09696 (2024)
• 
  [i102]
  Huajun Zhou,Fengtao Zhou,Chenyu Zhao,Yingxue Xu,Luyang Luo,Hao Chen:
  Multimodal Data Integration for Precision Oncology: Challenges and Future Directions.CoRRabs/2406.19611 (2024)
• 
  [i101]
  Zhipeng Deng,Luyang Luo,Hao Chen:
  Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging.CoRRabs/2407.02356 (2024)
• 
  [i100]
  Yingxue Xu,Yihui Wang,Fengtao Zhou,Jiabo Ma,Shu Yang,Huangjing Lin,Xin Wang,Jiguang Wang,Li Liang,Anjia Han,Ronald Cheong Kin Chan,Hao Chen:
  A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model.CoRRabs/2407.15362 (2024)
• 
  [i99]
  Jiabo Ma,Zhengrui Guo,Fengtao Zhou,Yihui Wang,Yingxue Xu,Yu Cai,Zhengjie Zhu,Cheng Jin,Yi Lin,Xinrui Jiang,Anjia Han,Li Liang,Ronald Cheong Kin Chan,Jiguang Wang,Kwang-Ting Cheng,Hao Chen:
  Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation.CoRRabs/2407.18449 (2024)
• 
  [i98]
  Andong Tan,Fengtao Zhou,Hao Chen:
  Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts.CoRRabs/2408.02265 (2024)
• 
  [i97]
  Shu Yang,Luyang Luo,Qiong Wang,Hao Chen:
  Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition.CoRRabs/2408.03867 (2024)
• 
  [i96]
  Luyang Luo,Mingxiang Wu,Mei Li,Yi Xin,Qiong Wang,Varut Vardhanabhuti,Winnie C. W. Chu,Zhenhui Li,Juan Zhou,Pranav Rajpurkar,Hao Chen:
  Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model.CoRRabs/2408.12606 (2024)
• 
  [i95]
  Xiao Fang,Yi Lin,Dong Zhang,Kwang-Ting Cheng,Hao Chen:
  Aligning Medical Images with General Knowledge from Large Language Models.CoRRabs/2409.00341 (2024)
• 
  [i94]
  Hao Jiang,Runsheng Liu,Yanning Zhou,Huangjing Lin,Hao Chen:
  Holistic and Historical Instance Comparison for Cervical Cell Detection.CoRRabs/2409.13987 (2024)
• 
  [i93]
  Runsheng Liu,Hao Jiang,Yanning Zhou,Huangjing Lin,Liansheng Wang,Hao Chen:
  GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation.CoRRabs/2409.13988 (2024)
• 
  [i92]
  Yi Gu,Yi Lin,Kwang-Ting Cheng,Hao Chen:
  Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection.CoRRabs/2409.17485 (2024)
• 
  [i91]
  Hao Chen,Wei Zhao,Yingli Li,Tianyang Zhong,Yisong Wang,Youlan Shang,Lei Guo,Junwei Han,Tianming Liu,Jun Liu,Tuo Zhang:
  3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models.CoRRabs/2409.19330 (2024)
• 
  [i90]
  Shu Yang,Zhiyuan Cai,Luyang Luo,Ning Ma,Shuchang Xu,Hao Chen:
  SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition.CoRRabs/2409.20083 (2024)
• 
  [i89]
  Junlin Hou,Sicen Liu,Yequan Bie,Hongmei Wang,Andong Tan,Luyang Luo,Hao Chen:
  Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks.CoRRabs/2410.02331 (2024)
• 
  [i88]
  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.CoRRabs/2410.13370 (2024)
• 
  [i87]
  Haoxuan Che,Xuanhua He,Quande Liu,Cheng Jin,Hao Chen:
  GameGen-X: Interactive Open-world Game Video Generation.CoRRabs/2411.00769 (2024)
• 
  [i86]
  Cheng Jin,Luyang Luo,Huangjing Lin,Jun Hou,Hao Chen:
  HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification.CoRRabs/2411.07660 (2024)
• 
  [i85]
  Zhengrui Guo,Conghao Xiong,Jiabo Ma,Qichen Sun,Lishuang Feng,Jinzhuo Wang,Hao Chen:
  FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification.CoRRabs/2411.14743 (2024)
• 
  [i84]
  Zhixuan Chen,Yequan Bie,Haibo Jin,Hao Chen:
  Large Language Model with Region-guided Referring and Grounding for CT Report Generation.CoRRabs/2411.15539 (2024)
• 
  [i83]
  Xuefeng Ni,Linshan Wu,Jiaxin Zhuang,Qiong Wang,Mingxiang Wu,Varut Vardhanabhuti,Lihai Zhang,Hanyu Gao,Hao Chen:
  MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training.CoRRabs/2412.05876 (2024)
• 2023
• 
  [j45]
  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)
• 
  [j44]
  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)
• 
  [j43]
  Hao Jiang,Yanning Zhou,Yi Lin,Ronald C. K. Chan,Jiang Liu,Hao Chen:
  Deep learning for computational cytology: A survey.Medical Image Anal.84:102691 (2023)
• 
  [j42]
  Yu Cai,Hao Chen,Xin Yang,Yu Zhou,Kwang-Ting Cheng:
  Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images.Medical Image Anal.86:102794 (2023)
• 
  [j41]
  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)
• 
  [j40]
  Jianwei Lin,Jiatai Lin,Cheng Lu,Hao Chen,Huan Lin,Bingchao Zhao,Zhenwei Shi,Bingjiang Qiu,Xipeng Pan,Zeyan Xu,Biao Huang,Changhong Liang,Guoqiang Han,Zaiyi Liu,Chu Han:
  CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation.IEEE Trans. Medical Imaging42(8):2451-2461 (2023)
• 
  [c58]
  Haoxuan Che,Siyu Chen,Hao Chen:
  Image Quality-aware Diagnosis via Meta-knowledge Co-embedding.CVPR2023:19819-19829
• 
  [c57]
  Hao Chen,Jiaze Wang,Kun Shao,Furui Liu,Jianye Hao,Chenyong Guan,Guangyong Chen,Pheng-Ann Heng:
  Traj-MAE: Masked Autoencoders for Trajectory Prediction.ICCV2023:8317-8328
• 
  [c56]
  Fengtao Zhou,Hao Chen:
  Cross-Modal Translation and Alignment for Survival Analysis.ICCV2023:21428-21437
• 
  [c55]
  Conghao Xiong,Hao Chen,Joseph J. Y. Sung,Irwin King:
  Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification.IJCAI2023:1587-1595
• 
  [c54]
  Yi Lin,Dong Zhang,Xiao Fang,Yufan Chen,Kwang-Ting Cheng,Hao Chen:
  Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation.IPMI2023:730-742
• 
  [c53]
  Zhipeng Deng,Luyang Luo,Hao Chen:
  Scale Federated Learning for Label Set Mismatch in Medical Image Classification.MICCAI (3)2023:118-127
• 
  [c52]
  Yi Lin,Yufan Chen,Kwang-Ting Cheng,Hao Chen:
  Few Shot Medical Image Segmentation with Cross Attention Transformer.MICCAI (2)2023:233-243
• 
  [c51]
  Haoxuan Che,Yuhan Cheng,Haibo Jin,Hao Chen:
  Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains.MICCAI (5)2023:430-440
• 
  [c50]
  Hongyi Wang,Luyang Luo,Fang Wang,Ruofeng Tong,Yen-Wei Chen,Hongjie Hu,Lanfen Lin,Hao Chen:
  Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.MICCAI (6)2023:467-476
• 
  [c49]
  Shengcong Chen,Changxing Ding,Dacheng Tao,Hao Chen:
  DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation.MICCAI (6)2023:591-601
• 
  [c48]
  Haibo Jin,Haoxuan Che,Hao Chen:
  Unsupervised Domain Adaptation for Anatomical Landmark Detection.MICCAI (1)2023:695-705
• 
  [e3]
  Bhavna Josephine Antony,Hao Chen,Huihui Fang,Huazhu Fu,Cecilia S. Lee,Yalin Zheng:
  Ophthalmic Medical Image Analysis - 10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings.Lecture Notes in Computer Science 14096,Springer2023, ISBN978-3-031-44012-0[contents]
• 
  [e2]
  Jonghye Woo,Alessa Hering,Wilson Silva,Xiang Li,Huazhu Fu,Xiaofeng Liu,Fangxu Xing,Sanjay Purushotham,Tejas Sudharshan Mathai,Pritam Mukherjee,Max De Grauw,Regina Beets-Tan,Valentina Corbetta,Elmar Kotter,Mauricio Reyes,Christian F. Baumgartner,Quanzheng Li,Richard M. Leahy,Bin Dong,Hao Chen,Yuankai Huo,Jinglei Lv,Xinxing Xu,Xiaomeng Li,Dwarikanath Mahapatra,Li Cheng,Caroline Petitjean,Benoît Presles:
  Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings.Lecture Notes in Computer Science 14394,Springer2023, ISBN978-3-031-47424-8[contents]
• 
  [e1]
  Hao Chen,Luyang Luo:
  Trustworthy Machine Learning for Healthcare - First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings.Lecture Notes in Computer Science 13932,Springer2023, ISBN978-3-031-39538-3[contents]
• 
  [i82]
  Conghao Xiong,Hao Chen,Joseph J. Y. Sung,Irwin King:
  Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification.CoRRabs/2301.08125 (2023)
• 
  [i81]
  Conghao Xiong,Yi Lin,Hao Chen,Joseph J. Y. Sung,Irwin King:
  Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification.CoRRabs/2303.05780 (2023)
• 
  [i80]
  Hao Chen,Jiaze Wang,Kun Shao,Furui Liu,Jianye Hao,Chenyong Guan,Guangyong Chen,Pheng-Ann Heng:
  Traj-MAE: Masked Autoencoders for Trajectory Prediction.CoRRabs/2303.06697 (2023)
• 
  [i79]
  Cheng Jin,Zhengrui Guo,Yi Lin,Luyang Luo,Hao Chen:
  Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions.CoRRabs/2303.12484 (2023)
• 
  [i78]
  Yi Lin,Xiao Fang,Dong Zhang,Kwang-Ting Cheng,Hao Chen:
  A Permutable Hybrid Network for Volumetric Medical Image Segmentation.CoRRabs/2303.13111 (2023)
• 
  [i77]
  Yi Lin,Zhongchen Zhao,Zhengjie Zhu,Lisheng Wang,Kwang-Ting Cheng,Hao Chen:
  Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning.CoRRabs/2303.13122 (2023)
• 
  [i76]
  Yi Lin,Yufan Chen,Kwang-Ting Cheng,Hao Chen:
  Few Shot Medical Image Segmentation with Cross Attention Transformer.CoRRabs/2303.13867 (2023)
• 
  [i75]
  Junhao Dong,Junxi Chen,Xiaohua Xie,Jianhuang Lai,Hao Chen:
  Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications.CoRRabs/2303.14133 (2023)
• 
  [i74]
  Hao Jiang,Rushan Zhang,Yanning Zhou,Yumeng Wang,Hao Chen:
  DoNet: Deep De-overlapping Network for Cytology Instance Segmentation.CoRRabs/2303.14373 (2023)
• 
  [i73]
  Haoxuan Che,Siyu Chen,Hao Chen:
  Image Quality-aware Diagnosis via Meta-knowledge Co-embedding.CoRRabs/2303.15038 (2023)
• 
  [i72]
  Hongyi Wang,Luyang Luo,Fang Wang,Ruofeng Tong,Yen-Wei Chen,Hongjie Hu,Lanfen Lin,Hao Chen:
  Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification.CoRRabs/2303.15749 (2023)
• 
  [i71]
  Yifeng Wang,Luyang Luo,Mingxiang Wu,Qiong Wang,Hao Chen:
  Learning Agreement from Multi-source Annotations for Medical Image Segmentation.CoRRabs/2304.00466 (2023)
• 
  [i70]
  Bo Qian,Hao Chen,Xiangning Wang,Haoxuan Che,Gitaek Kwon,Jaeyoung Kim,Sungjin Choi,Seoyoung Shin,Felix Krause,Markus Unterdechler,Junlin Hou,Rui Feng,Yihao Li,Mostafa El Habib Daho,Qiang Wu,Ping Zhang,Xiaokang Yang,Yiyu Cai,Weiping Jia,Huating Li,Bin Sheng:
  DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images.CoRRabs/2304.02389 (2023)
• 
  [i69]
  Luyang Luo,Xi Wang,Yi Lin,Xiaoqi Ma,Andong Tan,Ronald C. K. Chan,Varut Vardhanabhuti,Winnie C. W. Chu,Kwang-Ting Cheng,Hao Chen:
  Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.CoRRabs/2304.06662 (2023)
• 
  [i68]
  Zhipeng Deng,Luyang Luo,Hao Chen:
  Scale Federated Learning for Label Set Mismatch in Medical Image Classification.CoRRabs/2304.06931 (2023)
• 
  [i67]
  Yi Lin,Dong Zhang,Xiao Fang,Yufan Chen,Kwang-Ting Cheng,Hao Chen:
  Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation.CoRRabs/2305.00678 (2023)
• 
  [i66]
  Tao Chen,Liang Lv,Di Wang,Jing Zhang,Yue Yang,Zeyang Zhao,Chen Wang,Xiaowei Guo,Hao Chen,Qingye Wang,Yufei Xu,Qiming Zhang,Bo Du,Liangpei Zhang,Dacheng Tao:
  Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey.CoRRabs/2305.01899 (2023)
• 
  [i65]
  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.CoRRabs/2305.19063 (2023)
• 
  [i64]
  Jia-Xin Zhuang,Luyang Luo,Hao Chen:
  Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder.CoRRabs/2306.08913 (2023)
• 
  [i63]
  Zhizhong Chai,Luyang Luo,Huangjing Lin,Pheng-Ann Heng,Hao Chen:
  Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images.CoRRabs/2306.13301 (2023)
• 
  [i62]
  Haoxuan Che,Yuhan Cheng,Haibo Jin,Hao Chen:
  Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains.CoRRabs/2307.04378 (2023)
• 
  [i61]
  Shiye Lei,Hao Chen,Sen Zhang,Bo Zhao,Dacheng Tao:
  Image Captions are Natural Prompts for Text-to-Image Models.CoRRabs/2307.08526 (2023)
• 
  [i60]
  Haibo Jin,Haoxuan Che,Yi Lin,Hao Chen:
  PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation.CoRRabs/2308.12604 (2023)
• 
  [i59]
  Haibo Jin,Haoxuan Che,Hao Chen:
  Unsupervised Domain Adaptation for Anatomical Landmark Detection.CoRRabs/2308.13286 (2023)
• 
  [i58]
  Shengcong Chen,Changxing Ding,Dacheng Tao,Hao Chen:
  DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation.CoRRabs/2309.00188 (2023)
• 
  [i57]
  Fengtao Zhou,Hao Chen:
  Cross-Modal Translation and Alignment for Survival Analysis.CoRRabs/2309.12855 (2023)
• 
  [i56]
  Weiwen Zhang,Dawei Yang,Haoxuan Che,An-ran Ran,Carol Y. Cheung,Hao Chen:
  Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN.CoRRabs/2309.17269 (2023)
• 
  [i55]
  Tianyang Zhong,Wei Zhao,Yutong Zhang,Yi Pan,Peixin Dong,Zuowei Jiang,Xiaoyan Kui,Youlan Shang,Li Yang,Yaonai Wei,Longtao Yang,Hao Chen,Huan Zhao,Yuxiao Liu,Ning Zhu,Yiwei Li,Yisong Wang,Jiaqi Yao,Jiaqi Wang,Ying Zeng,Lei He,Chao Zheng,Zhixue Zhang,Ming Li,Zhengliang Liu,Haixing Dai,Zihao Wu,Lu Zhang,Shu Zhang,Xiaoyan Cai,Xintao Hu,Shijie Zhao,Xi Jiang,Xin Zhang,Xiang Li,Dajiang Zhu,Lei Guo,Dinggang Shen,Junwei Han,Tianming Liu,Jun Liu,Tuo Zhang:
  ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.CoRRabs/2310.05242 (2023)
• 
  [i54]
  Hongyi Wang,Luyang Luo,Fang Wang,Ruofeng Tong,Yen-Wei Chen,Hongjie Hu,Lanfen Lin,Hao Chen:
  Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher.CoRRabs/2312.01099 (2023)
• 
  [i53]
  Renao Yan,Qiehe Sun,Cheng Jin,Yiqing Liu,Yonghong He,Tian Guan,Hao Chen:
  Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification.CoRRabs/2312.05490 (2023)
• 2022
• 
  [j39]
  Jiatai Lin,Guoqiang Han,Xipeng Pan,Zaiyi Liu,Hao Chen,Danyi Li,Xiping Jia,Zhenwei Shi,Zhizhen Wang,Yanfen Cui,Haiming Li,Changhong Liang,Li Liang,Ying Wang,Chu Han:
  PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning.IEEE Trans. Medical Imaging41(9):2252-2262 (2022)
• 
  [c47]
  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.ISBI2022:1-5
• 
  [c46]
  Heng Li,Haofeng Liu,Xiaoxuan Wang,Chenlang Yi,Hao Chen,Yan Hu,Jiang Liu:
  Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation.ISBI2022:1-5
• 
  [c45]
  Yi Lin,Zeyu Wang,Kwang-Ting Cheng,Hao Chen:
  InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation.MICCAI (2)2022:140-149
• 
  [c44]
  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
• 
  [c43]
  Haoxuan Che,Haibo Jin,Hao Chen:
  Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement.MICCAI (3)2022:523-533
• 
  [c42]
  Yu Cai,Hao Chen,Xin Yang,Yu Zhou,Kwang-Ting Cheng:
  Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays.MICCAI (3)2022:584-593
• 
  [c41]
  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
• 
  [i52]
  Hao Jiang,Yanning Zhou,Yi Lin,Ronald C. K. Chan,Jiang Liu,Hao Chen:
  Deep Learning for Computational Cytology: A Survey.CoRRabs/2202.05126 (2022)
• 
  [i51]
  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.CoRRabs/2202.08195 (2022)
• 
  [i50]
  Luyang Luo,Dunyuan Xu,Hao Chen,Tien-Tsin Wong,Pheng-Ann Heng:
  Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification.CoRRabs/2203.09860 (2022)
• 
  [i49]
  Yu Cai,Hao Chen,Xin Yang,Yu Zhou,Kwang-Ting Cheng:
  Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays.CoRRabs/2206.03935 (2022)
• 
  [i48]
  Yi Lin,Zeyu Wang,Kwang-Ting Cheng,Hao Chen:
  InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation.CoRRabs/2206.15134 (2022)
• 
  [i47]
  Zhizhong Chai,Huangjing Lin,Luyang Luo,Pheng-Ann Heng,Hao Chen:
  ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans.CoRRabs/2207.01842 (2022)
• 
  [i46]
  Haoxuan Che,Haibo Jin,Hao Chen:
  Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement.CoRRabs/2207.04183 (2022)
• 
  [i45]
  Jianwei Lin,Jiatai Lin,Cheng Lu,Hao Chen,Huan Lin,Bingchao Zhao,Zhenwei Shi,Bingjiang Qiu,Xipeng Pan,Zeyan Xu,Biao Huang,Changhong Liang,Guoqiang Han,Zaiyi Liu,Chu Han:
  CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation.CoRRabs/2207.07370 (2022)
• 
  [i44]
  Dong Zhang,Yi Lin,Hao Chen,Zhuotao Tian,Xin Yang,Jinhui Tang,Kwang-Ting Cheng:
  Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions.CoRRabs/2209.10307 (2022)
• 
  [i43]
  Yu Cai,Hao Chen,Xin Yang,Yu Zhou,Kwang-Ting Cheng:
  Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images.CoRRabs/2210.04227 (2022)
• 
  [i42]
  Hangyu Mao,Rui Zhao,Hao Chen,Jianye Hao,Yiqun Chen,Dong Li,Junge Zhang,Zhen Xiao:
  Transformer in Transformer as Backbone for Deep Reinforcement Learning.CoRRabs/2212.14538 (2022)
• 2021
• 
  [j38]
  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)
• 
  [j37]
  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)
• 
  [j36]
  Yi-Jie Huang,Qi Dou,Zi-Xian Wang,Li-Zhi Liu,Ying Jin,Chao-Feng Li,Lisheng Wang,Hao Chen,Rui-Hua Xu:
  3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation.IEEE Trans. Cybern.51(11):5397-5408 (2021)
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  [j35]
  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)
• 
  [c40]
  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
• 
  [c39]
  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
• 
  [i41]
  Luyang Luo,Hao Chen,Yanning Zhou,Huangjing Lin,Pheng-Ann Heng:
  OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays.CoRRabs/2104.03218 (2021)
• 
  [i40]
  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.CoRRabs/2104.03225 (2021)
• 
  [i39]
  Zhizhong Chai,Luyang Luo,Huangjing Lin,Hao Chen,Pheng-Ann Heng:
  Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection.CoRRabs/2104.03265 (2021)
• 
  [i38]
  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.CoRRabs/2104.10553 (2021)
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  Jiatai Lin,Guoqiang Han,Xipeng Pan,Hao Chen,Danyi Li,Xiping Jia,Zhenwei Shi,Zhizhen Wang,Yanfen Cui,Haiming Li,Changhong Liang,Li Liang,Zaiyi Liu,Chu Han:
  PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning.CoRRabs/2111.03063 (2021)
• 2020
• 
  [j34]
  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)
• 
  [j33]
  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)
• 
  [j32]
  Fei Wu,Cewu Lu,Mingjie Zhu,Hao Chen,Jun Zhu,Kai Yu,Lei Li,Ming Li,Qianfeng Chen,Xi Li,Xudong Cao,Zhongyuan Wang,Zhengjun Zha,Yueting Zhuang,Yunhe Pan:
  Towards a new generation of artificial intelligence in China.Nat. Mach. Intell.2(6):312-316 (2020)
• 
  [j31]
  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)
• 
  [j30]
  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 Informatics24(12):3431-3442 (2020)
• 
  [j29]
  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 Imaging39(3):718-728 (2020)
• 
  [j28]
  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 Imaging39(5):1380-1391 (2020)
• 
  [j27]
  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 Imaging39(7):2494-2505 (2020)
• 
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  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 Imaging39(11):3583-3594 (2020)
• 
  [j25]
  Yi-Jie Huang,Weiping Liu,Xiuying Wang,Qu Fang,Renzhen Wang,Yi Wang,Huai Chen,Hao Chen,Deyu Meng,Lisheng Wang:
  Rectifying Supporting Regions With Mixed and Active Supervision for Rib Fracture Recognition.IEEE Trans. Medical Imaging39(12):3843-3854 (2020)
• 
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  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
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  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.CoRRabs/2002.02255 (2020)
• 
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  Cheng Chen,Qi Dou,Yueming Jin,Hao Chen,Jing Qin,Pheng-Ann Heng:
  Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion.CoRRabs/2002.09708 (2020)
• 
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  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.CoRRabs/2006.03796 (2020)
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  Yanning Zhou,Hao Chen,Huangjing Lin,Pheng-Ann Heng:
  Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation.CoRRabs/2007.10787 (2020)
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  [i32]
  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.CoRRabs/2010.06440 (2020)