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Hao Chen 0011

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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

Other persons with the same name

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Hao Chen — disambiguation page
Hao Chen 0001 — Boise State University, ID, USA (and 1 more)
Hao Chen 0002 — Hunan University, Changsha, China (and 1 more)
Hao Chen 0003 — University of California, Davis, CA, USA (and 1 more)
Hao Chen 0004 — Pacific Forestry Centre, Victoria, BC, Canada (and 1 more)
Hao Chen 0005 — Wuhan University, China
Hao Chen 0006 — State University of New York, Binghamton, NY, USA
Hao Chen 0007 — University of Tennessee Health Science Center, Memphis, TN, USA (and 1 more)
Hao Chen 0008 — University of Sydney
Hao Chen 0009 — DePaul University, Chicago, USA

Hao Chen 0010 — Samsung Research America, Inc., Richardson, TX, USA (and 1 more)
Hao Chen 0012 — Tongji University, Department of Mathematics, Shanghai, China
Hao Chen 0013 — Beijing University of Posts and Telecommunications Shenzhen Institute, Shenzhen, China (and 2 more)
Hao Chen 0014 — Harbin Institute of Technology, Department of Information Engineering, China
Hao Chen 0015 — Chongqing Normal University, School of Mathematics, China (and 1 more)
Hao Chen 0016 — University of Luxembourg, Luxembourg (and 3 more)
Hao Chen 0017 — University of Michigan, Ann Arbor, MI, USA (and 1 more)
Hao Chen 0018 — Shanghai University of Engineering Science, China
Hao Chen 0019 — Xi'an University of Technology, School of Mechanical & Instrumental Engineering, China
Hao Chen 0020 — Shanghai Maritime University, China (and 1 more)
Hao Chen 0021 — University of Waterloo, ON, Canada (and 4 more)
Hao Chen 0022 — Nanjing University, School of Electronic Science and Engineering, China
Hao Chen 0023 — University of Electronic Science and Technology of China, Chengdu, China (and 1 more)
Hao Chen 0024 — Amazon Web Services, Seattle, WA, USA (and 1 more)
Hao Chen 0025 — China University of Mining and Technology, School of Electrical and Power Engineering, Xuzhou, China (and 2 more)
Hao Chen 0026 — Southeast University, National ASIC System Engineering Research Center, Nanjing, China
Hao Chen 0027 — Zhejiang University, College of Control Science and Engineering, State Key Laboratory of Industrial Control Technology, Hangzhou, China
Hao Chen 0028 — University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Australia
Hao Chen 0029 — Jinan University, College of Information Science and Technology / College of Cyber Security, Guangzhou, China (and 2 more)
Hao Chen 0030 — Microsoft Research, Redmond, WA, USA
Hao Chen 0031 — Chinese Academy of Sciences, Quanzhou Institute of Equipment Manufacturing, Jinjiang, China (and 1 more)
Hao Chen 0032 — University of York, UK
Hao Chen 0033 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
Hao Chen 0034 — City University of Hong Kong, Department of Mechanical Engineering, Hong Kong
Hao Chen 0035 — University of Chinese Academy of Sciences, College of Materials Science and Opto-Electronic Technology, Beijing, China
Hao Chen 0036 — Nanjing University, School of Electronic Science and Engineering, Nanjing, China (and 1 more)
Hao Chen 0037 — University of Twente, Department of Biomechanical Engineering, The Netherlands
Hao Chen 0038 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
Hao Chen 0039 — Beijing Institute of Technology, School of Automation, China (and 1 more)
Hao Chen 0040 — Hunan Normal University, Key Laboratory of Low-dimensional Quantum Structures and Quantum Control of Ministry of Education, Changsha, China
Hao Chen 0041 — University of Adelaide, School of Computer Science, SA, Australia
Hao Chen 0042 — Central South University of Forestry and Technology, Changsha, China
Hao Chen 0043 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
Hao Chen 0044 — National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China
Hao Chen 0045 — Shanghai Artificial Intelligence Laboratory, Shanghai, China (and 1 more)
Hao Chen 0046 — National University of Defense Technology, College of Electronic Science, Changsha, China
Hao Chen 0047 — University of Electronic Science and Technology of China, Chengdu, China
Hao Chen 0048 — KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden
Hao Chen 0049 — Xi'an University of Posts and Telecommunications, School of Computer Science and Technology, China
Hao Chen 0050 — Ningbo University, Faculty of Electrical Engineering and Computer Science, China
Hao Chen 0051 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China (and 1 more)
Hao Chen 0052 — Northeastern University, College of Medicine and Biological Information Engineering, Microscopic Image and Medical Image Analysis Group, Shenyang, China
Hao Chen 0053 — Taiwan Semiconductor Manufacturing Company, Ltd, Hsinchu, Taiwan
Hao Chen 0054 — Tsinghua University, Department of Materials Science and Engineering, Beijing, China (and 3 more)
Hao Chen 0055 — Qingdao University, School of Business, China
Hao Chen 0056 — Georgia Institute of Technology, Atlanta, GA, USA
Hao Chen 0057 — Chang Gung University, Graduate Institute of Business and Management, Taoyuan City, Taiwan
Hao Chen 0058 — Fujitsu R&D Center, Beijing, China
Hao Chen 0059 — University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, TX, USA
Hao Chen 0060 — Nanchang Hangkong University, School of Information Engineering, Key Laboratory of Nondestructive Testing, Nanchang, China
Hao Chen 0061 — University of Côte d'Azur, INRIA, Valbonne, France (and 1 more)
Hao Chen 0062 — Hong Kong Polytechnic University (and 1 more)
Hao Chen 0063 — Tongji University, College of Surveying and Geo-Informatics, Shanghai, China
Hao Chen 0064 — University of California at Davis, Department of Statistics, Davis, CA, USA (and 1 more)
Hao Chen 0065 — Osaka University, Graduate School of Engineering Science, Department of Systems Innovation, Osaka, Japan
Hao Chen 0066 — University of Maryland, College Park, MD, USA (and 1 more)
Hao Chen 0067 — University of Wisconsin-Madison, Department of Statistics, Madison, WI, USA
Hao Chen 0068 — University of Maryland Baltimore County, Department of Computer Science and Electrical Engineering, Baltimore, MD, USA
Hao Chen 0069 — China University of Mining and Technology, School of Mechanical Electronic and Information Engineering, Beijing, China
Hao Chen 0070 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
Hao Chen 0071 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
Hao Chen 0072 — Hefei University of Technology, College of Civil Engineering, Hefei, China
Hao Chen 0073 — Technical University of Berlin, Institute of Geodesy and Geoinformation Science, Berlin, Germany
Hao Chen 0074 — Shanghai Jiao Tong University, School of Mechanical Engineering and MoE Key Lab of Artificial Intelligence, Shanghai, China
Hao Chen 0075 — Henan Polytechnic University, School of Emergency Management, Jiaozuo, China
Hao Chen 0076 — North China Electric Power University, Department of Electrical Engineering, Baoding, China
Hao Chen 0077 — Beihang University, School of Aeronautic Science and Engineering, Beijing, China
Hao Chen 0078 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
Hao Chen 0079 — Second Hospital of Jilin University, Department of Orthopedics, Changchun, China
Hao Chen 0080 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
Hao Chen 0081 — University of Chinese Academy of Sciences, HwaMei Hospital, Ningbo Institute of Life and Health Industry, Ningbo, China
Hao Chen 0082 — Chinese Academy of Sciences, Institute of Tibetan Plateau Research, Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Beijing, China
Hao Chen 0083 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
Hao Chen 0084 — South China University of Technology, School of Electronic and Information, Guangzhou, China
Hao Chen 0085 — Lanzhou University, School of Civil Engineering and Mechanics, Lanzhou, China
Hao Chen 0086 — Harbin Institute of Technology, School of Electrical Engineering, Harbin, China
Hao Chen 0087 (aka: Howard Chen 0008) — BMW Brilliance Automotive Ltd., Shenyang, China
Hao Chen 0088 — China Tobacco Guangxi Industrial Company Ltd., Nanning, China
Hao Chen 0089 — Affiliated Hospital of Nantong University, Information Department, Nantong, China
Hao Chen 0090 — Changzhou University, School of Information Science and Engineering, Changzhou, China
Hao Chen 0091 — Westlake University, School of Engineering, Hangzhou, China (and 1 more)
Hao Chen 0092 — Chinese Academy of Sciences, Northwest Institute of Eco-Environment and Resources, Lanzhou, China
Hao Chen 0093 — China Electronics Technology Corporation, 55th Research Institute, Nanjing, China (and 1 more)
Hao Chen 0094 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
Hao Chen 0095 — East China Normal University, Software Engineering Institute, Shanghai, China (and 1 more)
Hao Chen 0096 — Zhongshan University, Department of Mathematics, Guangdong, China
Hao Chen 0097 — University of California, Department of Computer Science and Engineering, Riverside, CA, USA
Hao Chen 0099 — National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China (and 1 more)
Hao Chen 0100 — Virginia Tech Transportation Institute, Blacksburg, VA, USA (and 1 more)
Hao Chen 0101 — Wenzhou Medical University, Eye Hospital, School of Ophthalmology & Optometry, Wenzhou, China
Hao Chen 0102 — Carnegie Mellon University, PA, USA
Hao Chen 0103 — University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China (and 1 more)
Hao Chen 0104 — NielsenIQ, Research & Development, Precima, Chicago, IL, USA (and 1 more)
Hao Chen 0105 — Nankai University, Department of Social Psychology, Tianjin, China
Hao Chen 0106 — Guangzhou University, Machine Life and Intelligence Research Centre, School of Mathematics and Information Science, China
Hao Chen 0107 — Zhejiang University, School of Aeronautics and Astronautics, China
Hao Chen 0108 — Nanyang Technological University, School of Mechanical and Aerospace Engineering, Jurong West, Singapore

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2025
[j60]
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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)
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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)
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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, Springer 2025, ISBN 978-3-031-73118-1 [contents]
2024
[j58]
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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)
[j57]
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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]
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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. Patterns 5(3): 100929 (2024)
[j55]
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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]
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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]
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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]
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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 Informatics 28(5): 2842-2853 (2024)
[j51]
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Luyang Luo, Daguang Xu, Jing Qin, Yueming Jin, Hao Chen:
Guest Editorial: Trustworthy Machine Learning for Health Informatics. IEEE J. Biomed. Health Informatics 28(11): 6370-6372 (2024)
[j50]
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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 Imaging 43(3): 994-1005 (2024)
[j49]
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Jiabo Ma, Hao Chen:
Efficient Supervised Pretraining of Swin-Transformer for Virtual Staining of Microscopy Images. IEEE Trans. Medical Imaging 43(4): 1388-1399 (2024)
[j48]
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Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images. IEEE Trans. Medical Imaging 43(5): 1972-1982 (2024)
[j47]
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Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels. IEEE Trans. Medical Imaging 43(6): 2137-2147 (2024)
[j46]
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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 Imaging 43(11): 3964-3976 (2024)
[c78]
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Yequan Bie, Luyang Luo, Hao Chen:
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. AAAI 2024: 837-845
[c77]
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Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen:
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. AAAI 2024: 2607-2615
[c76]
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Andong Tan, Fengtao Zhou, Hao Chen:
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts. ECCV (86) 2024: 123-138
[c75]
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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]
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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]
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Andong Tan, Fengtao Zhou, Hao Chen:
Post-hoc Part-Prototype Networks. ICML 2024
[c72]
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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]
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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]
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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]
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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]
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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]
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Shu Yang, Yihui Wang, Hao Chen:
MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology. MICCAI (4) 2024: 296-306
[c66]
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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]
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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]
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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]
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Yi Gu, Yi Lin, Kwang-Ting Cheng, Hao Chen:
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection. MICCAI (6) 2024: 520-530
[c62]
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Yu Cai, Hao Chen, Kwang-Ting Cheng:
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective. MICCAI (11) 2024: 544-554
[c61]
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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
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Shu Yang, Luyang Luo, Qiong Wang, Hao Chen:
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition. MICCAI (6) 2024: 606-616
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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
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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, Springer 2024, ISBN 978-3-031-54856-7 [contents]
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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, Springer 2024, ISBN 978-3-031-67750-2 [contents]
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Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels. CoRR abs/2401.07437 (2024)
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Yequan Bie, Luyang Luo, Hao Chen:
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. CoRR abs/2401.08527 (2024)
[i118]
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Luyang Luo, Xin Huang, Minghao Wang, Zhuoyue Wan, Hao Chen:
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council. CoRR abs/2401.11713 (2024)
[i117]
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  - journals/corr/abs-2401-11847
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Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning. CoRR abs/2401.11847 (2024)
[i116]
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  - journals/corr/abs-2402-09372
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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. CoRR abs/2402.09372 (2024)
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  - journals/corr/abs-2403-05396
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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. CoRR abs/2403.05396 (2024)
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Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng:
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification. CoRR abs/2403.08407 (2024)
[i113]
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Yu Cai, Hao Chen, Kwang-Ting Cheng:
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective. CoRR abs/2403.09303 (2024)
[i112]
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  - journals/corr/abs-2403-09410
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Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen:
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization. CoRR abs/2403.09410 (2024)
[i111]
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  - journals/corr/abs-2403-10040
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Zhikang Wang, Yumeng Zhang, Yingxue Xu, Seiya Imoto, Hao Chen, Jiangning Song:
Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images. CoRR abs/2403.10040 (2024)
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  - journals/corr/abs-2403-12537
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Yi Lin, Zhengjie Zhu, Kwang-Ting Cheng, Hao Chen:
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification. CoRR abs/2403.12537 (2024)
[i109]
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  - journals/corr/abs-2403-16386
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Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen:
Dia-LLaMA: Towards Large Language Model-driven CT Report Generation. CoRR abs/2403.16386 (2024)
[i108]
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  - journals/corr/abs-2404-01192
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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. CoRR abs/2404.01192 (2024)
[i107]
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  - journals/corr/abs-2404-02394
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Huajun Zhou, Fengtao Zhou, Hao Chen:
Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis. CoRR abs/2404.02394 (2024)
[i106]
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  - journals/corr/abs-2404-04518
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Yu Cai, Weiwen Zhang, Hao Chen, Kwang-Ting Cheng:
MedIAnomaly: A comparative study of anomaly detection in medical images. CoRR abs/2404.04518 (2024)
[i105]
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Haibo Jin, Haoxuan Che, Hao Chen:
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach. CoRR abs/2404.04556 (2024)
[i104]
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  - journals/corr/abs-2404-15580
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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. CoRR abs/2404.15580 (2024)
[i103]
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  - journals/corr/abs-2404-18861
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Rui Xu, Shu Yang, Yihui Wang, Bo Du, Hao Chen:
A Survey on Vision Mamba: Models, Applications and Challenges. CoRR abs/2404.18861 (2024)
[i102]
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  - journals/corr/abs-2405-05769
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Fangzhou Han, Lingyu Si, Hongwei Dong, Lamei Zhang, Hao Chen, Bo Du:
Exploring Text-Guided Single Image Editing for Remote Sensing Images. CoRR abs/2405.05769 (2024)
[i101]
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  - journals/corr/abs-2405-18849
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Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bowen Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, Pheng-Ann Heng:
SFANet: Spatial-Frequency Attention Network for Weather Forecasting. CoRR abs/2405.18849 (2024)
[i100]
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  - journals/corr/abs-2406-03421
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Andong Tan, Fengtao Zhou, Hao Chen:
Post-hoc Part-prototype Networks. CoRR abs/2406.03421 (2024)
[i99]
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  - journals/corr/abs-2406-09696
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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. CoRR abs/2406.09696 (2024)
[i98]
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  - journals/corr/abs-2406-19611
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Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen:
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions. CoRR abs/2406.19611 (2024)
[i97]
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Zhipeng Deng, Luyang Luo, Hao Chen:
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging. CoRR abs/2407.02356 (2024)
[i96]
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  - journals/corr/abs-2407-15362
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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. CoRR abs/2407.15362 (2024)
[i95]
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  - journals/corr/abs-2407-18449
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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. CoRR abs/2407.18449 (2024)
[i94]
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  - journals/corr/abs-2408-02265
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Andong Tan, Fengtao Zhou, Hao Chen:
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts. CoRR abs/2408.02265 (2024)
[i93]
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  - journals/corr/abs-2408-03867
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Shu Yang, Luyang Luo, Qiong Wang, Hao Chen:
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition. CoRR abs/2408.03867 (2024)
[i92]
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  - journals/corr/abs-2408-12606
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Luyang Luo, Mingxiang Wu, Mei Li, Yi Xin, Qiong Wang, Varut Vardhanabhuti, Winnie CW 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. CoRR abs/2408.12606 (2024)
[i91]
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  - journals/corr/abs-2409-00341
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Xiao Fang, Yi Lin, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
Aligning Medical Images with General Knowledge from Large Language Models. CoRR abs/2409.00341 (2024)
[i90]
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  - journals/corr/abs-2409-13987
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Hao Jiang, Runsheng Liu, Yanning Zhou, Huangjing Lin, Hao Chen:
Holistic and Historical Instance Comparison for Cervical Cell Detection. CoRR abs/2409.13987 (2024)
[i89]
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  - journals/corr/abs-2409-13988
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Runsheng Liu, Hao Jiang, Yanning Zhou, Huangjing Lin, Liansheng Wang, Hao Chen:
GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation. CoRR abs/2409.13988 (2024)
[i88]
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  - journals/corr/abs-2409-17485
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Yi Gu, Yi Lin, Kwang-Ting Cheng, Hao Chen:
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection. CoRR abs/2409.17485 (2024)
[i87]
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  - journals/corr/abs-2409-19330
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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. CoRR abs/2409.19330 (2024)
[i86]
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  - journals/corr/abs-2409-20083
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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. CoRR abs/2409.20083 (2024)
[i85]
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  - journals/corr/abs-2410-02331
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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. CoRR abs/2410.02331 (2024)
[i84]
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Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng:
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models. CoRR abs/2410.13370 (2024)
[i83]
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  - journals/corr/abs-2411-00769
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Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen:
GameGen-X: Interactive Open-world Game Video Generation. CoRR abs/2411.00769 (2024)
2023
[j45]
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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]
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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)
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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)
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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)
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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)
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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 Imaging 42(8): 2451-2461 (2023)
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  - conf/cvpr/CheCC23
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Haoxuan Che, Siyu Chen, Hao Chen:
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding. CVPR 2023: 19819-19829
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  - conf/iccv/ChenWSLHGCH23
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Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV 2023: 8317-8328
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Fengtao Zhou, Hao Chen:
Cross-Modal Translation and Alignment for Survival Analysis. ICCV 2023: 21428-21437
[c55]
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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. IJCAI 2023: 1587-1595
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Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. IPMI 2023: 730-742
[c53]
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Zhipeng Deng, Luyang Luo, Hao Chen:
Scale Federated Learning for Label Set Mismatch in Medical Image Classification. MICCAI (3) 2023: 118-127
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Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Few Shot Medical Image Segmentation with Cross Attention Transformer. MICCAI (2) 2023: 233-243
[c51]
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Haoxuan Che, Yuhan Cheng, Haibo Jin, Hao Chen:
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains. MICCAI (5) 2023: 430-440
[c50]
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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
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Shengcong Chen, Changxing Ding, Dacheng Tao, Hao Chen:
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation. MICCAI (6) 2023: 591-601
[c48]
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Haibo Jin, Haoxuan Che, Hao Chen:
Unsupervised Domain Adaptation for Anatomical Landmark Detection. MICCAI (1) 2023: 695-705
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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, Springer 2023, ISBN 978-3-031-44012-0 [contents]
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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, Springer 2023, ISBN 978-3-031-47424-8 [contents]
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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, Springer 2023, ISBN 978-3-031-39538-3 [contents]
[i82]
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  - journals/corr/abs-2301-08125
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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. CoRR abs/2301.08125 (2023)
[i81]
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  - journals/corr/abs-2303-05780
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Conghao Xiong, Yi Lin, Hao Chen, Joseph J. Y. Sung, Irwin King:
Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification. CoRR abs/2303.05780 (2023)
[i80]
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  - journals/corr/abs-2303-06697
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Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR abs/2303.06697 (2023)
[i79]
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  - journals/corr/abs-2303-12484
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Cheng Jin, Zhengrui Guo, Yi Lin, Luyang Luo, Hao Chen:
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions. CoRR abs/2303.12484 (2023)
[i78]
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  - journals/corr/abs-2303-13111
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Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
A Permutable Hybrid Network for Volumetric Medical Image Segmentation. CoRR abs/2303.13111 (2023)
[i77]
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  - journals/corr/abs-2303-13122
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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. CoRR abs/2303.13122 (2023)
[i76]
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  - journals/corr/abs-2303-13867
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Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Few Shot Medical Image Segmentation with Cross Attention Transformer. CoRR abs/2303.13867 (2023)
[i75]
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  - journals/corr/abs-2303-14133
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Junhao Dong, Junxi Chen, Xiaohua Xie, Jianhuang Lai, Hao Chen:
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications. CoRR abs/2303.14133 (2023)
[i74]
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  - journals/corr/abs-2303-14373
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Hao Jiang, Rushan Zhang, Yanning Zhou, Yumeng Wang, Hao Chen:
DoNet: Deep De-overlapping Network for Cytology Instance Segmentation. CoRR abs/2303.14373 (2023)
[i73]
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  - journals/corr/abs-2303-15038
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Haoxuan Che, Siyu Chen, Hao Chen:
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding. CoRR abs/2303.15038 (2023)
[i72]
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  - journals/corr/abs-2303-15749
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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. CoRR abs/2303.15749 (2023)
[i71]
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  - journals/corr/abs-2304-00466
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Yifeng Wang, Luyang Luo, Mingxiang Wu, Qiong Wang, Hao Chen:
Learning Agreement from Multi-source Annotations for Medical Image Segmentation. CoRR abs/2304.00466 (2023)
[i70]
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  - journals/corr/abs-2304-02389
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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. CoRR abs/2304.02389 (2023)
[i69]
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  - journals/corr/abs-2304-06662
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Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald C. K. Chan, Varut Vardhanabhuti, Winnie CW Chu, Kwang-Ting Cheng, Hao Chen:
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. CoRR abs/2304.06662 (2023)
[i68]
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  - journals/corr/abs-2304-06931
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Zhipeng Deng, Luyang Luo, Hao Chen:
Scale Federated Learning for Label Set Mismatch in Medical Image Classification. CoRR abs/2304.06931 (2023)
[i67]
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  - journals/corr/abs-2305-00678
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Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. CoRR abs/2305.00678 (2023)
[i66]
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  - journals/corr/abs-2305-01899
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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. CoRR abs/2305.01899 (2023)
[i65]
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  - journals/corr/abs-2305-19063
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Yanwen Li, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images. CoRR abs/2305.19063 (2023)
[i64]
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  - journals/corr/abs-2306-08913
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Jia-Xin Zhuang, Luyang Luo, Hao Chen:
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder. CoRR abs/2306.08913 (2023)
[i63]
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  - journals/corr/abs-2306-13301
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Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images. CoRR abs/2306.13301 (2023)
[i62]
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  - journals/corr/abs-2307-04378
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Haoxuan Che, Yuhan Cheng, Haibo Jin, Hao Chen:
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains. CoRR abs/2307.04378 (2023)
[i61]
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  - journals/corr/abs-2307-08526
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Shiye Lei, Hao Chen, Sen Zhang, Bo Zhao, Dacheng Tao:
Image Captions are Natural Prompts for Text-to-Image Models. CoRR abs/2307.08526 (2023)
[i60]
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  - journals/corr/abs-2308-12604
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Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen:
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. CoRR abs/2308.12604 (2023)
[i59]
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  - journals/corr/abs-2308-13286
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Haibo Jin, Haoxuan Che, Hao Chen:
Unsupervised Domain Adaptation for Anatomical Landmark Detection. CoRR abs/2308.13286 (2023)
[i58]
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  - journals/corr/abs-2309-00188
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Shengcong Chen, Changxing Ding, Dacheng Tao, Hao Chen:
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation. CoRR abs/2309.00188 (2023)
[i57]
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  - journals/corr/abs-2309-12855
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Fengtao Zhou, Hao Chen:
Cross-Modal Translation and Alignment for Survival Analysis. CoRR abs/2309.12855 (2023)
[i56]
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  - journals/corr/abs-2309-17269
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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. CoRR abs/2309.17269 (2023)
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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. CoRR abs/2310.05242 (2023)
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  - journals/corr/abs-2312-01099
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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. CoRR abs/2312.01099 (2023)
[i53]
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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. CoRR abs/2312.05490 (2023)
2022
[j39]
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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 Imaging 41(9): 2252-2262 (2022)
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Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng:
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. ISBI 2022: 1-5
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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. ISBI 2022: 1-5
[c45]
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Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen:
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. MICCAI (2) 2022: 140-149
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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
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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]
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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
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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]
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Hao Jiang, Yanning Zhou, Yi Lin, Ronald C. K. Chan, Jiang Liu, Hao Chen:
Deep Learning for Computational Cytology: A Survey. CoRR abs/2202.05126 (2022)
[i51]
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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)
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  - journals/corr/abs-2203-09860
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Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng:
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification. CoRR abs/2203.09860 (2022)
[i49]
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  - journals/corr/abs-2206-03935
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Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng:
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays. CoRR abs/2206.03935 (2022)
[i48]
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Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen:
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. CoRR abs/2206.15134 (2022)
[i47]
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  - journals/corr/abs-2207-01842
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Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans. CoRR abs/2207.01842 (2022)
[i46]
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  - journals/corr/abs-2207-04183
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Haoxuan Che, Haibo Jin, Hao Chen:
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement. CoRR abs/2207.04183 (2022)
[i45]
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  - journals/corr/abs-2207-07370
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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. CoRR abs/2207.07370 (2022)
[i44]
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  - journals/corr/abs-2209-10307
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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. CoRR abs/2209.10307 (2022)
[i43]
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  - journals/corr/abs-2210-04227
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Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng:
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images. CoRR abs/2210.04227 (2022)
[i42]
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  - journals/corr/abs-2212-14538
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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. CoRR abs/2212.14538 (2022)
2021
[j38]
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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]
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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]
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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)
[j35]
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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]
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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
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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]
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  - journals/corr/abs-2104-03218
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Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays. CoRR abs/2104.03218 (2021)
[i40]
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Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. CoRR abs/2104.03225 (2021)
[i39]
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Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. CoRR abs/2104.03265 (2021)
[i38]
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Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng:
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. CoRR abs/2104.10553 (2021)
[i37]
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  - journals/corr/abs-2111-03063
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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. CoRR abs/2111.03063 (2021)
2020
[j34]
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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]
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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]
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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]
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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]
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Xi Wang, Fangyao Tang, Hao Chen, Luyang Luo, Ziqi Tang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng:
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification. IEEE J. Biomed. Health Informatics 24(12): 3431-3442 (2020)
[j29]
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Lihao Liu, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis. IEEE Trans. Medical Imaging 39(3): 718-728 (2020)
[j28]
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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)
[j27]
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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. IEEE Trans. Medical Imaging 39(7): 2494-2505 (2020)
[j26]
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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 Imaging 39(11): 3583-3594 (2020)
[j25]
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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 Imaging 39(12): 3843-3854 (2020)
[c38]
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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
[i36]
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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. CoRR abs/2002.02255 (2020)
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  - journals/corr/abs-2002-09708
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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. CoRR abs/2002.09708 (2020)
[i34]
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  - journals/corr/abs-2006-03796
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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. CoRR abs/2006.03796 (2020)
[i33]
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  - journals/corr/abs-2007-10787
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Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng:
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. CoRR abs/2007.10787 (2020)
[i32]
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  - journals/corr/abs-2010-06440
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Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. CoRR abs/2010.06440 (2020)

2010 – 2019

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2019
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Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access 7: 99065-99076 (2019)
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Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot:
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. Medical Image Anal. 52: 199-211 (2019)
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Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. Medical Image Anal. 58 (2019)
[j21]
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  - journals/tits/HuXXCHQH19
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Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, Pheng-Ann Heng:
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection. IEEE Trans. Intell. Transp. Syst. 20(3): 1010-1019 (2019)
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Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38(2): 550-560 (2019)
[j19]
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Huangjing Lin, Hao Chen, Simon Graham, Qi Dou, Nasir M. Rajpoot, Pheng-Ann Heng:
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection. IEEE Trans. Medical Imaging 38(8): 1948-1958 (2019)
[c37]
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Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. AAAI 2019: 865-872
[c36]
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Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng:
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation. IPMI 2019: 682-693
[c35]
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Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng:
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. ISBI 2019: 1280-1283
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Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng:
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening. MICCAI (1) 2019: 39-47
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Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin:
PRSNet: Part Relation and Selection Network for Bone Age Assessment. MICCAI (6) 2019: 413-421
[c32]
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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. MICCAI (3) 2019: 447-456
[c31]
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Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. MICCAI (4) 2019: 504-512
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Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. MICCAI (1) 2019: 586-594
[c29]
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Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. MLMI@MICCAI 2019: 628-636
[c28]
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Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng:
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. MICCAI (1) 2019: 640-648
[p2]
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Qi Dou, Cheng Chen, Cheng Ouyang, Hao Chen, Pheng-Ann Heng:
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 93-115
[i31]
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Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019)
[i30]
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  - journals/corr/abs-1901-07759
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Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng:
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. CoRR abs/1901.07759 (2019)
[i29]
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  - journals/corr/abs-1901-08211
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Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. CoRR abs/1901.08211 (2019)
[i28]
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  - journals/corr/abs-1903-00348
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Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation. CoRR abs/1903.00348 (2019)
[i27]
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  - journals/corr/abs-1903-05358
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Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng:
CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation. CoRR abs/1903.05358 (2019)
[i26]
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  - journals/corr/abs-1905-01040
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Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. CoRR abs/1905.01040 (2019)
[i25]
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  - journals/corr/abs-1906-02999
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Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. CoRR abs/1906.02999 (2019)
[i24]
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  - journals/corr/abs-1907-06099
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Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis. CoRR abs/1907.06099 (2019)
[i23]
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  - journals/corr/abs-1907-12927
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Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng:
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening. CoRR abs/1907.12927 (2019)
[i22]
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  - journals/corr/abs-1908-06623
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Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng:
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. CoRR abs/1908.06623 (2019)
[i21]
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  - journals/corr/abs-1909-02344
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Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. CoRR abs/1909.02344 (2019)
[i20]
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  - journals/corr/abs-1909-05651
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Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin:
PRSNet: Part Relation and Selection Network for Bone Age Assessment. CoRR abs/1909.05651 (2019)
2018
[j18]
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Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Xiaojuan Qi, Daniel L. Belavy, Gabriele Armbrecht, Dieter Felsenberg, Guoyan Zheng, Pheng-Ann Heng:
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images. Medical Image Anal. 45: 41-54 (2018)
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Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Pheng-Ann Heng:
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images. NeuroImage 170: 446-455 (2018)
[j16]
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Junwei Han, Hao Chen, Nian Liu, Chenggang Yan, Xuelong Li:
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion. IEEE Trans. Cybern. 48(11): 3171-3183 (2018)
[j15]
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Yueming Jin, Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network. IEEE Trans. Medical Imaging 37(5): 1114-1126 (2018)
[j14]
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Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes. IEEE Trans. Medical Imaging 37(12): 2663-2674 (2018)
[c27]
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  - conf/aaai/ZhouDCQH18
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Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction. AAAI 2018: 2652-2659
[c26]
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Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. BMVC 2018: 63
[c25]
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Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng:
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. IJCAI 2018: 691-697
[c24]
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Yi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Li-Sheng Wang, Hao Chen, Pheng-Ann Heng, Rui-Hua Xu:
HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation. ISBI 2018: 195-198
[c23]
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Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, Pheng-Ann Heng:
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis. DLMIA/ML-CDS@MICCAI 2018: 74-82
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Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation. MLMI@MICCAI 2018: 143-151
[c21]
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Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image. WACV 2018: 539-546
[i19]
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  - journals/corr/abs-1804-00433
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Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, Pheng-Ann Heng:
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection. CoRR abs/1804.00433 (2018)
[i18]
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Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng:
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. CoRR abs/1804.10916 (2018)
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Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation. CoRR abs/1806.00600 (2018)
[i16]
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Simon Graham, Hao Chen, Qi Dou, Pheng-Ann Heng, Nasir M. Rajpoot:
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images. CoRR abs/1806.01963 (2018)
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Yi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Ying Jin, Chao-Feng Li, Lisheng Wang, Hao Chen, Rui-Hua Xu:
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation. CoRR abs/1806.10342 (2018)
[i14]
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Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. CoRR abs/1808.03887 (2018)
[i13]
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Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. CoRR abs/1812.07907 (2018)
2017
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Guoyan Zheng, Chengwen Chu, Daniel L. Belavy, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Hugo Hutt, Richard M. Everson, Judith Meakin, Isabel Lopez Andrade, Ben Glocker, Hao Chen, Qi Dou, Pheng-Ann Heng, Chunliang Wang, Daniel Forsberg, Ales Neubert, Jurgen Fripp, Martin Urschler, Darko Stern, Maria Wimmer:
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 35: 327-344 (2017)
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Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot:
Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 35: 489-502 (2017)
[j11]
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Hao Chen, Xiaojuan Qi, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng:
DCAN: Deep contour-aware networks for object instance segmentation from histology images. Medical Image Anal. 36: 135-146 (2017)
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Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng:
3D deeply supervised network for automated segmentation of volumetric medical images. Medical Image Anal. 41: 40-54 (2017)
[j9]
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Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Evgenia Papavasileiou, Mathias Prokop:
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. Medical Image Anal. 42: 1-13 (2017)
[j8]
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Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng-Ann Heng:
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection. IEEE Trans. Biomed. Eng. 64(7): 1558-1567 (2017)
[j7]
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Hao Chen, Lingyun Wu, Qi Dou, Jing Qin, Shengli Li, Jie-Zhi Cheng, Dong Ni, Pheng-Ann Heng:
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework. IEEE Trans. Cybern. 47(6): 1576-1586 (2017)
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Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng:
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos. IEEE J. Biomed. Health Informatics 21(1): 65-75 (2017)
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Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng:
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks. IEEE Trans. Medical Imaging 36(4): 994-1004 (2017)
[j4]
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Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sánchez, Bogdan J. Matuszewski, Hao Chen, Lequan Yu, Quentin Angermann, Olivier Romain, Bjorn Rustad, Ilangko Balasingham, Konstantin Pogorelov, Sungbin Choi, Quentin Debard, Lena Maier-Hein, Stefanie Speidel, Danail Stoyanov, Patrick Brandao, Henry Córdova, Cristina Sánchez-Montes, Suryakanth R. Gurudu, Gloria Fernández-Esparrach, Xavier Dray, Jianming Liang, Aymeric Histace:
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge. IEEE Trans. Medical Imaging 36(6): 1231-1249 (2017)
[c20]
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Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images. AAAI 2017: 66-72
[c19]
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Xiaowei Hu, Lequan Yu, Hao Chen, Jing Qin, Pheng-Ann Heng:
AGNet: Attention-Guided Network for Surgical Tool Presence Detection. DLMIA/ML-CDS@MICCAI 2017: 186-194
[c18]
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Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. MICCAI (2) 2017: 287-295
[c17]
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Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. MICCAI (3) 2017: 630-638
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Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Lei Zhao, Vincent C. T. Mok, Defeng Wang, Lin Shi, Pheng-Ann Heng:
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images. Deep Learning for Medical Image Analysis 2017: 133-154
[i12]
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Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images. CoRR abs/1707.09597 (2017)
[i11]
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Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. CoRR abs/1708.00573 (2017)
[i10]
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Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. CoRR abs/1708.03867 (2017)
[i9]
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Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes. CoRR abs/1709.07330 (2017)
[i8]
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Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction. CoRR abs/1712.08297 (2017)
2016
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Qi Dou, Hao Chen, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent C. T. Mok, Lin Shi, Pheng-Ann Heng:
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks. IEEE Trans. Medical Imaging 35(5): 1182-1195 (2016)
[c16]
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Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng:
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks. AAAI 2016: 1160-1166
[c15]
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Hao Chen, Xiaojuan Qi, Jie-Zhi Cheng, Pheng-Ann Heng:
Deep Contextual Networks for Neuronal Structure Segmentation. AAAI 2016: 1167-1173
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Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng:
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. CVPR 2016: 2487-2496
[c13]
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Hao Chen, Xi Wang, Pheng-Ann Heng:
Automated mitosis detection with deep regression networks. ISBI 2016: 1204-1207
[c12]
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Hao Chen, Qi Dou, Xi Wang, Jing Qin, Jack Chun Yiu Cheng, Pheng-Ann Heng:
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation. MIAR 2016: 375-382
[c11]
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Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation. CSI@MICCAI 2016: 85-91
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Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng:
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. MICCAI (2) 2016: 149-157
[c9]
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Hao Chen, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou:
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images. MICCAI (2) 2016: 487-495
[i7]
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Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot:
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR abs/1603.00275 (2016)
[i6]
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Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng:
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. CoRR abs/1604.02677 (2016)
[i5]
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Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng:
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. CoRR abs/1607.00582 (2016)
[i4]
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Hao Chen, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou:
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images. CoRR abs/1607.01855 (2016)
[i3]
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Hao Chen, Qi Dou, Lequan Yu, Pheng-Ann Heng:
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation. CoRR abs/1608.05895 (2016)
[i2]
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Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Mathias Prokop, Marco Saletta, Cornelia Schaefer-Prokop, Ernst Th. Scholten, Luuk Scholten, Miranda M. Snoeren, Ernesto Lopez Torres, Jef Vandemeulebroucke, Nicole Walasek, Guido C. A. Zuidhof, Bram van Ginneken, Colin Jacobs:
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge. CoRR abs/1612.08012 (2016)
2015
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Hao Chen, Dong Ni, Jing Qin, Shengli Li, Xin Yang, Tianfu Wang, Pheng-Ann Heng:
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks. IEEE J. Biomed. Health Informatics 19(5): 1627-1636 (2015)
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Qi Dou, Hao Chen, Lequan Yu, Lin Shi, Defeng Wang, Vincent C. T. Mok, Pheng-Ann Heng:
Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features. EMBC 2015: 7933-7936
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Cewu Lu, Yongyi Lu, Hao Chen, Chi-Keung Tang:
Square Localization for Efficient and Accurate Object Detection. ICCV 2015: 2560-2568
[c6]
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Hao Chen, Lequan Yu, Qi Dou, Lin Shi, Vincent C. T. Mok, Pheng-Ann Heng:
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation. ISBI 2015: 764-767
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Hao Chen, Qi Dou, Dong Ni, Jie-Zhi Cheng, Jing Qin, Shengli Li, Pheng-Ann Heng:
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks. MICCAI (1) 2015: 507-514
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Hao Chen, Chiyao Shen, Jing Qin, Dong Ni, Lin Shi, Jack Chun Yiu Cheng, Pheng-Ann Heng:
Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks. MICCAI (1) 2015: 515-522
2014
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Hao Chen, Dong Ni, Xin Yang, Shengli Li, Pheng-Ann Heng:
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer. MLMI 2014: 125-132
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Cewu Lu, Hao Chen, Qifeng Chen, Hei Law, Yao Xiao, Chi-Keung Tang:
1-HKUST: Object Detection in ILSVRC 2014. CoRR abs/1409.6155 (2014)
2011
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Huchuan Lu, Dong Wang, Yen-Wei Chen, Hao Chen:
A Novel Texture-Based Multi-Linear Analysis Algorithm for Face Recognition. Int. J. Image Graph. 11(4): 495-508 (2011)

2000 – 2009

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2008
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Huchuan Lu, Hao Chen, Yen-Wei Chen:
Multilinear analysis based on image texture for face recognition. ICPR 2008: 1-4
2000
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Lei Fang, Peter B. Luh, Hao Chen:
Improving the Lagrangian relaxation approach for large job-shop scheduling. CDC 2000: 552-557

Coauthor Index

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