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Hao Chen 0011
Person information

- affiliation: The Hong Kong University of Science and Technology, China
- 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
- 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, Canada
- 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
— Beihang University, School of Astronautics, Beijing, China
- 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
— Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China
- 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 — School of Artificial Intelligence, University of Chinese Academy of Sciences, China (and 1 more)
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2020 – today
- 2023
- [j40]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) - [j39]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) - [j38]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) - 2022
- [j37]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) - [c43]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 - [c42]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 - [c41]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 - [c40]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 - [i45]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) - [i44]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) - [i43]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) - [i42]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) - [i41]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) - 2021
- [j36]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) - [j35]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) - [j34]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) - [j33]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) - [c39]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 - [c38]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 - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]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
- [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [c37]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 - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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
- 2019
- [j22]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) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]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) - [c36]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 - [c35]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 - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]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]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 - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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
- [j16]Xiaomeng Li
, Qi Dou
, Hao Chen
, Chi-Wing Fu
, Xiaojuan Qi, Daniel 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) - [j15]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) - [j14]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) - [j13]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) - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]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
- [j12]Guoyan Zheng
, Chengwen Chu, Daniel 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) - [j11]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) - [j10]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) - [j9]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) - [j8]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 Sónora-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) - [j7]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) - [j6]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) - [j5]