Hao CHEN
陳浩
PhD in Computer Science and Engineering
The Chinese University of Hong Kong, 2017

Assistant Professor
Department of Computer Science and Engineering

Associate Director of Center for Medical Imaging and Analysis



(852) 2358 8346
jhc@ust.hk
Room 3517
Personal Web

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Google Scholar
Z_t5DjwAAAAJ

ORCID
0000-0002-8400-3780

ResearcherID
V-4299-2019

Scopus ID
56493367600




Research Interest Publications Projects Teaching Assignment RPG Supervision




Research Interest

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Medical image analysis
Computer vision
Artificial intelligence
Machine learning



Publications

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All Years 92 2022 0 2021 8 2020 13 2019 27 2018 11 2017 17 2016 16

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2021 8

A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis
Diabetes Care, v. 44, (9), August 2021, p. 2078-2088
Tang, Fangyao; Wang, Xi; Ran, An-Ran; Chan, Carmen K. M.; Ho, Mary; Yip, Wilson; Young, Alvin L.; Lok, Jerry; Szeto, Simon; Chan, Jason; Yip, Fanny; Wong, Raymond; Tang, Ziqi; Yang, Dawei; Ng, Danny S.; Chen, Li Jia; Brelen, Marten; Chu, Victor; Li, Kenneth; Lai, Tracy H. T.; Tan, Gavin S.; Ting, Daniel S. W.; Huang, Haifan; Chen, Haoyu; Ma, Jacey Hongjie; Tang, Shibo; Leng, Theodore; Kakavand, Schahrouz; Mannil, Suria S.; Chang, Robert T.; Liew, Gerald; Gopinath, Bamini; Lai, Timothy Y. Y.; Pang, Chi Pui; Scanlon, Peter H.; Wong, Tien Yin; Tham, Clement C.; Chen, Hao; Heng, Pheng-Ann; Cheung, Carol Y. Article
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification
Medical image analysis, v. 70, May 2021, article number 102010
Wang, Xi; Chen, Hao; Xiang, Huiling; Lin, Huangjing; Lin, Xi; Heng, Pheng-Ann Article
Development and evaluation of a deep learning algorithm for rib segmentation and fracture detection from multicenter chest ct images
Radiology: Artificial Intelligence, v. 3, (5), July 2021, article number e200248
Wu, Mingxiang; Chai, Zhizhong; Qian, Guangwu; Lin, Huangjing; Wang, Qiong; Wang, Liansheng; Chen, Hao Article
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis
Medical Image Analysis, v. 69, April 2021, article number 101955
Lin, Huangjing; Chen, Hao; Wang, Xi; Wang, Qiong; Wang, Liansheng; Heng, Pheng-Ann Article
Potentials of AI in medical image analysis in Gastroenterology and Hepatology
Journal of Gastroenterology and Hepatology, v. 36, (1), January 2021, p. 31-38
Chen, Hao; Sung, Joseph J.Y. Article
Transformation-consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
IEEE Transactions on Neural Networks and Learning Systems, v. 32, (2), February 2021, article number 9104928, p. 523-524
Li, Xiaomeng; Yu, Lequan; Chen, Hao; Fu, Chi-Wing; Xing, Lei; Heng, Pheng-Ann Article
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12902 LNCS, 2021, p. 199-209
Li, Yanwen; Luo, Luyang; Lin, Huangjing; Chen, Hao; Heng, Pheng-Ann Conference paper
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12902 LNCS, September 2021, p. 537-548
Luo, Luyang; Chen, Hao; Zhou, Yanning; Lin, Huangjing; Heng, Pheng-Ann Conference paper

2020 13

3-d roi-aware u-net for accurate and efficient colorectal tumor segmentation
IEEE Transactions on Cybernetics, April 2020
Huang, Yi-Jie; Dou, Qi; Wang, Zi-Xian; Liu, Li-Zhi; Jin, Ying; Li, Chao-Feng; Wang, Lisheng; Chen, Hao; Xu, Rui-Hua Article
A Multi-Organ Nucleus Segmentation Challenge
IEEE Transactions on Medical Imaging, v. 39, (5), May 2020, article number 8880654, p. 1380-1391
Zhou Xiaoyang; Chen, Hao Article
Deep mining external imperfect data for chest X-ray disease screening
IEEE Transactions on Medical Imaging, v. 39, (11), November 2020, p. 3583-3594
Luo, Luyang; Yu, Lequan; Chen, Hao; Liu, Quande; Wang, Xi; Xu, Jiaqi; Heng, Pheng-Ann Article
Multi-Task Deep Model with Margin Ranking Loss for Lung Nodule Analysis
IEEE Transactions on Medical Imaging, v. 39, (3), March 2020, article number 8794587, p. 718-728
Liu, Lihao; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann Article
Multi-task recurrent convolutional network with correlation loss for surgical video analysis
Medical Image Analysis, v. 59, January 2020, article number 101572
Jin, Yueming; Li, Huaxia; Dou, Qi; Chen, Hao; Qin, Jing; Fu, Chi-Wing; Heng, Pheng-Ann Article
Rectifying Supporting Regions with Mixed and Active Supervision for Rib Fracture Recognition
IEEE Transactions on Medical Imaging, v. 39, (12), December 2020, article number 9130071, p. 3843-3854
Huang, Yi-Jie; Liu, Weiping; Wang, Xiuying; Fang, Qu; Wang, Renzhen; Wang, Yi; Chen, Huai; Chen, Hao; Meng, Deyu; Wang, Lisheng Article
Towards a new generation of artificial intelligence in China
Nature machine intelligence, v. 2, (6), June 2020, p. 312-316
Wu, Fei; Lu, Cewu; Zhu, Mingjie; Chen, Hao; Zhu, Jun; Yu, Kai; Li, Lei; Li, Ming; Chen, Qianfeng; Li, Xi; Cao, Xudong; Wang, Zhongyuan; Zha, Zhengjun; Zhuang, Yueting; Pan, Yunhe Article
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning
Medical Image Analysis, v. 63, July 2020, article number 101695
Wang, Xi; Chen, Hao; Ran, An-Ran; Luo, Luyang; Chan, Poemen P.; Tham, Clement C.; Chang, Robert T.; Mannil, Suria S.; Cheung, Carol Y.; Heng, Pheng-Ann Article
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification
IEEE Journal of Biomedical and Health Informatics, v. 24, (12), December 2020, article number 9050843, p. 3431-3442
Wang, Xi; Tang, Fangyao; Chen, Hao; Luo, Luyang; Tang, Ziqi; Ran, An-Ran; Cheung, Carol Y.; Heng, Pheng-Ann Article
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
IEEE Transactions on Medical Imaging, v. 39, (7), July 2020, article number 8988158, p. 2494-2505
Chen, Cheng; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng Ann Article
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
IEEE Transactions on Cybernetics, v. 50, (9), September 2020, article number 8822590, p. 3950-3962
Wang, Xi; Chen, Hao; Gan, Caixia; Lin, Huangjing; Dou, Qi; Tsougenis, Efstratios; Huang, Qitao; Cai, Muyan; Heng, Pheng-Ann Article
Deep semi-supervised knowledge distillation for overlapping cervical cell instance segmentation
Lecture Notes in Computer Science, v. 12261, October 2020, p. 521-531
Zhou, Yanning; Chen, Hao; Lin, Huangjing; Heng, Pheng-Ann Conference paper
Simulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System
ECR 2020, Online, 15-19 July 2020
Du, R; Xie, C.; Yu, J. M. L.; Onder, O.F.; Lai, C. T.-M.; Chen, Hao; Vardhanabhuti, V. Conference paper

2019 27

Automatic lesion detection with three-dimensional convolutional neural networks
Biomedical Information Technology, October 2019, p. 265-293
Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann Article
Deep learning for automated contouring of primary tumor volumes by MRI for nasopharyngeal carcinoma
Radiology, v. 291, (3), June 2019, p. 677-686
Lin, Li; Dou, Qi; Jin, Yue-Ming; Zhou, Guan-Qun; Tang, Yi-Qiang; Chen, Wei-Lin; Su, Bao-An; Liu, Feng; Tao, Chang-Juan; Jiang, Ning; Li, Jun-Yun; Tang, Ling-Long; Xie, Chuan-Miao; Huang, Shao-Min; Ma, Jun; Heng, Pheng-Ann; Wee, Joseph T.S.; Chua, Melvin L.K.; Chen, Hao; Sun, Ying Article
Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis
The Lancet Digital Health, v. 1, (4), August 2019, p. e172-e182
Ran, An Ran; Cheung, Carol Y.; Wang, Xi; Chen, Hao; Luo, Lu-yang; Chan, Poemen P.; Wong, Mandy O. M.; Chang, Robert T.; Mannil, Suria S.; Young, Alvin L.; Yung, Hon-wah; Pang, Chi Pui; Heng, Pheng-Ann; Tham, Clement C. Article
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection
IEEE Transactions on Medical Imaging, v. 38, (8), August 2019, article number 8604098, p. 1948-1958
Lin, Huangjing; Chen, Hao; Graham, Simon; Dou, Qi; Rajpoot, Nasir; Heng, Pheng-Ann Article
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
IEEE Transactions on Medical Imaging, v. 38, (2), February 2019, article number 8447230, p. 550-560
Bándi, Péter; Geessink, Oscar; Manson, Quirine; Van Dijk, Marcory; Balkenhol, Maschenka; Hermsen, Meyke; Ehteshami Bejnordi, Babak; Lee, Byungjae; Paeng, Kyunghyun; Zhong, Aoxiao; Li, Quanzheng; Zanjani, Farhad Ghazvinian; Zinger, Svitlana; Fukuta, Keisuke; Komura, Daisuke; Ovtcharov, Vlado; Cheng, Shenghua; Zeng, Shaoqun; Thagaard, Jeppe; Chen, Hao Article
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
Medical Image Analysis, v. 52, February 2019, p. 199-211
Graham, Simon; Chen, Hao; Gamper, Jevgenij; Dou, Qi; Heng, Pheng-Ann; Snead, David; Tsang, Yee Wah; Rajpoot, Nasir Article
PNP-AdaNet: Plug-and-play adversarial domain adaptation network at unpaired cross-modality cardiac segmentation
IEEE Access, v. 7, July 2019, article number 8764342, p. 99065-99076
Dou, Qi; Ouyang, Cheng; Chen, Cheng; Chen, Hao; Glocker, Ben; Zhuang, Xiahai; Heng, Pheng-Ann Article
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
Medical Image Analysis, v. 58, December 2019, article number 101549
Wang, Shujun; Zhu, Yaxi; Yu, Lequan; Chen, Hao; Lin, Huangjing; Wan, Xiangbo; Fan, Xinjuan; Heng, Pheng-Ann Article
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection
IEEE Transactions on Intelligent Transportation Systems, v. 20, (3), March 2019, article number 8478157, p. 1010-1019
Hu, Xiaowei; Xu, Xuemiao; Xiao, Yongjie; Chen, Hao; He, Shengfeng; Qin, Jing; Heng, Pheng-Ann Article
Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images
Journal of Magnetic Resonance Imaging, v. 50, (4), October 2019, p. 1144-1151
Zhou, Juan; Luo, Lu-Yang; Dou, Qi; Chen, Hao; Chen, Cheng; Li, Gong-Jie; Jiang, Ze-Fei; Heng, Pheng-Ann Article
Deep multilevel contextual networks for biomedical image segmentation
Handbook of Medical Image Computing and Computer Assisted Intervention / Edited by S. Kevin Zhou, Daniel Rueckert and Gabor Fichtinger. Elsevier Inc., 2019, p. 231-247
Chen, Hao; Dou, Qi; Qi, Xiaojuan; Cheng, Jie-Zhi; Heng, Pheng-Ann Book chapter
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics / Edited by: Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang. Springer, Cham, 2019, p. 93-115
Dou, Qi; Chen, Cheng; Ouyang, Cheng; Chen, Hao; Heng, Pheng Ann Book chapter
A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans
Investigative Ophthalmology & Visual Science, v. 60, (9), July 2019, p. 5571-5571
Anran, Ran; Wang, Xi; Luo, Luyang; Chan, Poemen; Chang, Robert; Mannil, Suria Sudhakaran; Chen Hao; Heng, Pheng-Ann; Tham, Clement C.Y.; Cheung, Carol Yim-lui Conference paper
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
Lecture Notes in Computer Science, v. 11861, October 2019
Shi, Xueying; Dou, Qi; Xue, Cheng; Qin, Jing; Chen, Hao; Heng, Ann Heng Conference paper
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation
Lecture Notes in Computer Science, v. 11492, June 2019, p. 682-693
Zhou, Yanning; Onder, Omer Fahri; Dou, Qi; Tsougenis, Efstratios; Chen, Hao; Heng, Pheng-Ann Conference paper
Clinically-Led Automated Radiograph Triaging System Based on Convolution Neural Networks--A Simulation Study
8th Joint Scientific Meeting of Royal College of Radiologists & Hong Kong College of Radiologists and 27th Annual Scientific Meeting of Hong Kong College of Radiologists, Hong Kong, 16-17 November 2019
Tsougenis, E.; Onder, O.F.; Lai, C.; Tang, T.; Lee, C.; Du, R.; Chen, Hao; Vardhanabhuti, V. Conference paper
Deep angular embedding and feature correlation attention for breast MRI cancer analysis
Lecture Notes in Computer Science, v. 11767, October 2019, p. 504-512
Luo, Luo; Chen, Hao; Wang, Xi; Dou, Qi; Lin, Huangjing; Zhou, Juan; Li, Gongjie; Heng, Pheng-Ann Conference paper
Diagnostic Assessment of Recalibrated Multi-instance Deep Learning Network for Gastric Dysplasia and Adenocarcinoma in Biopsy
Modern Pathology, v. 32, (3), March 2019
Zhu, Yaxi; Huang, Yan; Wang, Shujun; Chen, Hao; Fan, Xinjuan Conference paper
IRNet: Instance relation network for overlapping cervical cell segmentation
Lecture Notes in Computer Science, v. 11764, October 2019, p. 640-648
Zhou, Yanning; Chen, Hao; Xu, Jiaqi; Dou, Qi; Heng, Pheng-Ann Conference paper
Light-weight hybrid convolutional network for liver tumor segmentation
IJCAI International Joint Conference on Artificial Intelligence, v. 2019, August, 2019, p. 4271-4277
Zhang, Jianpeng; Xie, Yutong; Zhang, Pingping; Chen, Hao; Xia, Yong; Shen, Chunhua Conference paper
PFA-ScanNet: Pyramidal feature aggregation with synergistic learning for breast cancer metastasis analysis
Lecture Notes in Computer Science, v. 11764, October 2019, p. 586-594
Zhao, Zixu; Lin, Huangjing; Chen, Hao; Heng, Pheng-Ann Conference paper
PRSNet: Part Relation and Selection Network for Bone Age Assessment
Lecture Notes in Computer Science, v. 11769, October 2019, p. 413-421
Ji, Yuanfeng; Chen, Hao; Lin, Dan; Wu, Xiaohua; Lin, Di Conference paper
Robust learning at noisy labeled medical images: Applied to skin lesion classification
International Symposium on Biomedical Imaging, v. 2019, April 2019, article number 8759203, p. 1280-1283
Xue, Cheng; Dou, Qi; Shi, Xueying; Chen, Hao; Heng, Pheng-Ann Conference paper
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Lecture Notes in Computer Science, v. 11766, October 2019, p. 447-456
Chen, Cheng; Dou, Qi; Jin, Yueming; Chen, Hao; Qin, Jing; Heng, Pheng-Ann Conference paper
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
29th British Machine Vision Conference, BMVC 2018, Northumbria UniversityNewcastle; United Kingdom, 3-6 September 2018
Li, Xiaomeng; Yu, Lequan; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann Conference paper
Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 33, (1), 2019, p. 865-872
Chen, Cheng; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann Conference paper
Unifying structure analysis and surrogate-driven function regression for glaucoma OCT image screening
Lecture Notes in Computer Science, v. 11764, October 2019, p. 39-47
Wang, Xi; Chen, Hao; Luo, Luyang; Ran, An-ran; Chan, Pomen P.; Tham, Clement C.; Cheung, Carol Y.; Heng, Pheng-Ann Conference paper

2018 11

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
Medical Image Analysis, v. 45, April 2018, p. 41-54
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Qi, Xiaojuan; Belavy, Daniel L.; Armbrecht, Gabriele; Felsenberg, Dieter; Zheng, Guoyan; Heng, Pheng-Ann Article
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
IEEE Transactions on Medical Imaging, v. 37, (12), Deccember 2018, p. 2663-2674
Li, Xiaomeng; Chen, Hao; Qi, Xiaojuan; Dou, Qi; Fu, Chi-Wing; Heng, Pheng-Ann Article
SV-RCNet: Workflow recognition from surgical videos using recurrent convolutional network
IEEE Transactions on Medical Imaging, v. 37, (5), May 2018, p. 1114-1126
Jin, Yueming; Dou, Qi; Chen, Hao; Yu, Lequan; Qin, Jing; Fu, Chi-Wing; Heng, Pheng-Ann Article
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
NeuroImage, v. 170, April 2018, p. 446-455
Chen, Hao; Dou, Qi; Yu, Lequan; Qin, Jing; Heng, Pheng-Ann Article
Development and Validation of A Deep Learning Algorithm for Automated Delineation of Primary Tumor for Nasopharyngeal Carcinoma from Multimodal Magnetic Resonance Images
International Journal of Radiation Oncology Biology Physics, v. 102, (3), November 2018, p. e330-e331
Sun, Y.; Dou, Q.; Chen, Hao; Jin, Y.M.; Zhou, G.Q.; Tang, Y.Q.; Chen, W.L.; Su, B.A.; Liu, F.; Tao, C.J.; Jiang, N.; Li, J.Y.; Tang, L.; Xie, C.; Huang, S.M.; Heng, P.A. Conference paper
HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation
IEEE International Symposium on Biomedical Imaging, v. 2018, May 2018, p. 195-198
Huang, Yi-Jie; Dou, Qi; Wang, Zi-Xian; Liu, Li-Zhi; Wang, Li-Sheng; Chen, Hao; Heng, Pheng-Ann; Xu, Rui-Hua Conference paper
Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis
Lecture Notes in Computer Science, v. 11045, September 2018, p. 74-82
Liu, Lihao; Dou, Qi; Chen, Hao; Olatunji, Iyiola E.; Qin, Jing; Heng, Pheng-Ann Conference paper
ScanNet: A fast and dense scanning framework for metastastic breast cancer detection from whole-slide image
IEEE Winter Conference on Applications of Computer Vision, v. 2018, May 2018, p. 539-546
Lin, Huangjing; Chen, Hao; Dou, Qi; Wang, Liansheng; Qin, Jing; Heng, Pheng-Ann Conference paper
Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest X-ray segmentation
Lecture Notes in Computer Science, v. 11046 , September 2018, p. 143-151
Chen, Cheng; Dou, Qi; Chen, Hao; Heng, Pheng-Ann Conference paper
SFCN-OPI: Detection and fine-grained classification of nuclei using sibling FCN with objectness prior interaction
Proceedings of the AAAI Conference on Artificial Intelligence, v. 32, (1), 2018, article number 11900, p. 2652-2659
Zhou, Yanning; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann Conference paper
Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss
IJCAI International Joint Conference on Artificial Intelligence, v. 2018, July 2018, p. 691-697
Dou, Qi; Ouyang, Cheng; Chen, Cheng; Chen, Hao; Heng, Pheng-Ann Conference paper

2017 17

3D deeply supervised network for automated segmentation of volumetric medical images
Medical Image Analysis, v. 41, October 2017, p. 40-54
Dou, Qi; Yu, Lequan; Chen, Hao; Jin, Yueming; Yang, Xin; Qin, Jing; Heng, Pheng-Ann Article
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
IEEE Transactions on Medical Imaging, v. 36, (4), April 2017, article number 7792699, p. 994-1004
Yu, Lequan; Chen, Hao; Dou, Qi; Qin, Jing; Heng, Pheng-Ann Article
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge
IEEE Transactions on Medical Imaging, v. 36, (6), June 2017, p. 1231-1249
Bernal, Jorge; Tajkbaksh, Nima; Sanchez, Francisco Javier; Matuszewski, Bogdan J.; Chen, Hao; Yu, Lequan; Angermann, Quentin; Romain, Olivier; Rustad, Bj?rn; Balasingham, Ilangko; Pogorelov, Konstantin; Choi, Sungbin; Debard, Quentin; Maier-Hein, Lena; Speidel, Stefanie; Stoyanov, Danail; Brandao, Patrick; Cordova, Henry; Sanchez-Montes, Cristina; Histace, Aymeric Article
DCAN: Deep contour-aware networks for object instance segmentation from histology images
Medical Image Analysis, v. 36, February 2017, p. 135-146
Chen, Hao; Qi, Xiaojuan; Yu, Lequan; Dou, Qi; Qin, Jing; Heng, Pheng-Ann Article
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
JAMA - Journal of the American Medical Association, v. 318, (22), December 2017, p. 2199-2210
Bejnordi, Babak Ehteshami; Veta, Mitko; Van Diest, Paul Johannes; Van Ginneken, Bram; Karssemeijer, Nico; Litjens, Geert; Van Der Laak, Jeroen A.W.M.; Chen, Hao; CAMELYON16, Consortium Article
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge
Medical Image Analysis, v. 35, January 2017, p. 327-344
Zheng, Guoyan; Chu, Chengwen; Belavy, Daniel L.; Ibragimov, Bulat; Korez, Robert; Vrtovec, Toma?; Hutt, Hugo; Everson, Richard; Meakin, Judith; Andrade, Isabel Lopez; Glocker, Ben; Chen, Hao; Dou, Qi; Heng, Pheng-Ann; Wang, Chunliang; Forsberg, Daniel; Neubert, Ale?; Fripp, Jurgen; Urschler, Martin; Li, Shuo Article
Gland segmentation in colon histology images: The glas challenge contest
Medical Image Analysis, v. 35, January 2017, p. 489-502
Sirinukunwattana, Korsuk; Pluim, Josien P.W.; Chen, Hao; Qi, Xiaojuan; Heng, Pheng-Ann; Guo, Yun Bo; Matuszewski, Bogdan J.; Bruni, Elia; Sanchez, Urko; B?hm, Anton; Ronneberger, Olaf; Cheikh, Bassem Ben; Racoceanu, Daniel; Kainz, Philipp; Pfeiffer, Michael; Urschler, Martin; Snead, David R.J.; Rajpoot, Nasir M. Article
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos
IEEE Journal of Biomedical and Health Informatics, v. 21, (1), January 2017, article number 7776845, p. 65-75
Yu, Lequan; Chen, Hao; Dou, Qi; Qin, Jing; Heng, Pheng Ann Article
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
IEEE Transactions on Biomedical Engineering, v. 64, (7), July 2017, p. 1558-1567
Dou, Qi; Chen, Hao; Yu, Lequan; Qin, Jing; Heng, Pheng-Ann Article
The Height-Width-Depth Ratios of the Intervertebral Discs and Vertebral Bodies in Adolescent Idiopathic Scoliosis vs Controls in a Chinese Population
Scientific Reports, v. 7, April 2017, article number 46448
Chen, Hao; Schl?sser, Tom P.C.; Brink, Rob C.; Colo, Dino; Van Stralen, Marijn; Shi, Lin; Chu, Winnie C.W.; Heng, Pheng-Ann; Castelein, René M.; Cheng, Jack C.Y. Article
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework
IEEE Transactions on Cybernetics, v. 47, (6), June 2017, p. 1576-1586
Chen, Hao; Wu, Lingyun; Dou, Qi; Qin, Jing; Li, Shengli; Cheng, Jie-Zhi; Ni, Dong; Heng, Pheng-Ann Article
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Medical Image Analysis, v. 42, December 2017, p. 1-13
Setio, Arnaud Arindra Adiyoso; Traverso, Alberto; de Bel, Thomas; Berens, Moira S.N.; Bogaard, Cas van den; Cerello, Piergiorgio; Chen, Hao; Dou, Qi; Fantacci, Maria Evelina; Geurts, Bram; Gugten, Robbert van der; Heng, Pheng Ann; Jansen, Bart; de Kaste, Michael M.J.; Kotov, Valentin; Lin, Jack Yu-Hung; Manders, Jeroen T.M.C.; Só?ora-Mengana, Alexander; García-Naranjo, Juan Carlos; Papavasileiou, Evgenia Article
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images
Deep Learning for Medical Image Analysis / Edited by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen. Elsevier Inc., 2017, p. 133-154, Ch. 6
Chen, Hao; Dou, Qi; Yu, Lequan; Qin, Jing; Zhao, Lei; Mok, Vincent C.T.; Wang, Defeng; Shi, Lin; Heng, Pheng-Ann Book chapter
AGNet: Attention-guided network for surgical tool presence detection
Lecture Notes in Computer Science, v. 10553, September 2017, p. 186-194
Hu, Xiaowei; Yu, Lequan; Chen, H.; Qin, Jing; Heng, Pheng-Ann Conference paper
Automated pulmonary nodule detection via 3D convnets with online sample filtering and hybrid-loss residual learning
Lecture Notes in Computer Science, v. 10435, September 2017, p. 630-638
Dou, Qi; Chen, Hao; Jin, Yueming; Lin, Huangjing; Qin, Jing; Heng, Pheng-Ann Conference paper
Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets
Lecture Notes in Computer Science, v. 10434, September 2017, p. 287-295
Yu, Lequan; Cheng, Jie-Zhi; Dou, Qi; Yang, Xin; Chen, Hao; Qin, Jing; Heng, Pheng-Ann Conference paper
Volumetric convnets with mixed residual connections for automated prostate segmentation from 3d MR images
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 10510, p. 66-72
Yu, Lequan; Yang, Xin; Chen, Hao; Qin, Jing; Heng, Pheng-Ann Conference paper

2016 9

Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks
IEEE Transactions on Medical Imaging, v. 35, (5), May 2016, article number 7403984, p. 1182-1195
Dou, Q.; Chen, Hao; Yu, Lequan; Zhao, Lei; Qin, Jing; Wang, Defeng; Mok, Vincent C.T.; Shi, Lin; Heng, Pheng-Ann Article
3D deeply supervised network for automatic liver segmentation from CT volumes
Lecture Notes in Computer Science, v. 9901, October 2016, p. 487-495
Dou, Qi; Chen, Hao; Jin, Yueming; Yu, Lequan; Qin, Jing; Heng, Pheng-Ann Conference paper
3D fully convolutional networks for intervertebral disc localization and segmentation
Lecture Notes in Computer Science, v. 9805, August 2016, p. 375-382
Chen, Hao; Dou, Qi; Wang, Xi; Qin, Jing; Cheng, Jack C.Y.; Heng, Pheng-Ann Conference paper
Automated mitosis detection with deep regression networks
Proceedings of International Symposium on Biomedical Imaging, v. 2016, June 2016, article number 7493482, p. 1204`-1207
Chen, Hao; Wang, Xi; Heng, Pheng Ann Conference paper
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 2016, December 2016, article number 7780642, p. 2487-2496
Chen, Hao; Qi, Xiaojuan; Yu, Lequan; Heng, Pheng-Ann Conference paper
Deep contextual networks for neuronal structure segmentation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10141, p. 1167-1173
Chen, Hao; Qi, Xiaojuan; Cheng, Jie-Zhi; Heng, Pheng-Ann Conference paper
Iterative multi-domain regularized deep learning for anatomical structure detection and segmentation from ultrasound images
Lecture Notes in Computer Science, v. 9901, October 2016, p. 487-495
Chen, Hao; Zheng, Yefeng; Park, Jin-Hyeong; Heng, Pheng-Ann Conference paper
Mitosis detection in breast cancer histology images via deep cascaded networks
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10140, p. 1160-1166
Chen, Hao; Dou, Qi; Wang, Xi; Qin, Jing; Heng, Pheng-Ann Conference paper
Multi-scale and modality dropout learning for intervertebral disc localization and segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10182 LNCS, 2016, p. 85-91
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann Conference paper

2015 6

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
IEEE Journal of Biomedical and Health Informatics, v. 19, (5), September 2015, article number 7090943, p. 1627-1636
Chen, Hao; Ni, Dong; Qin, Jing; Li, Shengli; Yang, Xin; Wang, Tianfu; Heng, Pheng Ann Article
Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015, November 2015, article number 7320232, p. 7933-7936
Dou, Qi; Chen, Hao; Yu, Lequan; Shi, Lin; Wang, Defeng; Mok, Vincent C.T.; Heng, Pheng Ann Conference paper
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation
IEEE International Symposium on Biomedical Imaging, v. 2015, July 2015, article number 7163984, p. 764-767
Chen, Hao; Yu, Lequan; Dou, Qi; Shi, Lin; Mok, Vincent C.T.; Heng, Pheng Ann Conference paper
Automatic fetal ultrasound standard plane detection using knowledge transferred recurrent neural networks
Lecture Notes in Computer Science, v. 9349, November 2015, p. 507-514
Chen, Hao; Dou, Qi; Ni, Dong; Cheng, Jie-Zhi; Qin, Jing; Li, Shengli; Heng, Pheng-Ann Conference paper
Automatic localization and identification of vertebrae in spine CT via a joint learning model with deep neural networks
Lecture Notes in Computer Science, v. 9349, November 2015, p. 515-522
Chen, Hao; Shen, Chiyao; Qin, Jing; Ni, Dong; Shi, Lin; Cheng, Jack C.Y; Heng, Pheng-Ann Conference paper
Square Localization for Efficient and Accurate Object Detection
Proceedings: 2015 IEEE International Conference on Computer Vision (ICCV 2015), The Institute of Electrical and Electronics Engineers, Inc., 2015, p. 2560-2568
Lu, Cewu; Lu, Yongyi; Chen, Hao; Tang, Chi Keung Conference paper

2014 1

Fetal Abdominal Standard Plane Localization Through Representation Learning with Knowledge Transfer
Lecture Notes in Computer Science, v. 8679, September 2014, p. 125-132
Chen, Hao; Ni, Dong; Yang, Xin; Li, Shengli; Heng, Pheng Ann Conference paper


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Article 6

A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis
Diabetes Care, v. 44, (9), August 2021, p. 2078-2088
Tang, Fangyao; Wang, Xi; Ran, An-Ran; Chan, Carmen K. M.; Ho, Mary; Yip, Wilson; Young, Alvin L.; Lok, Jerry; Szeto, Simon; Chan, Jason; Yip, Fanny; Wong, Raymond; Tang, Ziqi; Yang, Dawei; Ng, Danny S.; Chen, Li Jia; Brelen, Marten; Chu, Victor; Li, Kenneth; Lai, Tracy H. T.; Tan, Gavin S.; Ting, Daniel S. W.; Huang, Haifan; Chen, Haoyu; Ma, Jacey Hongjie; Tang, Shibo; Leng, Theodore; Kakavand, Schahrouz; Mannil, Suria S.; Chang, Robert T.; Liew, Gerald; Gopinath, Bamini; Lai, Timothy Y. Y.; Pang, Chi Pui; Scanlon, Peter H.; Wong, Tien Yin; Tham, Clement C.; Chen, Hao; Heng, Pheng-Ann; Cheung, Carol Y.
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification
Medical image analysis, v. 70, May 2021, article number 102010
Wang, Xi; Chen, Hao; Xiang, Huiling; Lin, Huangjing; Lin, Xi; Heng, Pheng-Ann
Development and evaluation of a deep learning algorithm for rib segmentation and fracture detection from multicenter chest ct images
Radiology: Artificial Intelligence, v. 3, (5), July 2021, article number e200248
Wu, Mingxiang; Chai, Zhizhong; Qian, Guangwu; Lin, Huangjing; Wang, Qiong; Wang, Liansheng; Chen, Hao
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis
Medical Image Analysis, v. 69, April 2021, article number 101955
Lin, Huangjing; Chen, Hao; Wang, Xi; Wang, Qiong; Wang, Liansheng; Heng, Pheng-Ann
Potentials of AI in medical image analysis in Gastroenterology and Hepatology
Journal of Gastroenterology and Hepatology, v. 36, (1), January 2021, p. 31-38
Chen, Hao; Sung, Joseph J.Y.
Transformation-consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
IEEE Transactions on Neural Networks and Learning Systems, v. 32, (2), February 2021, article number 9104928, p. 523-524
Li, Xiaomeng; Yu, Lequan; Chen, Hao; Fu, Chi-Wing; Xing, Lei; Heng, Pheng-Ann

Conference paper 2

Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12902 LNCS, 2021, p. 199-209
Li, Yanwen; Luo, Luyang; Lin, Huangjing; Chen, Hao; Heng, Pheng-Ann
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12902 LNCS, September 2021, p. 537-548
Luo, Luyang; Chen, Hao; Zhou, Yanning; Lin, Huangjing; Heng, Pheng-Ann


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Article 11

3-d roi-aware u-net for accurate and efficient colorectal tumor segmentation
IEEE Transactions on Cybernetics, April 2020
Huang, Yi-Jie; Dou, Qi; Wang, Zi-Xian; Liu, Li-Zhi; Jin, Ying; Li, Chao-Feng; Wang, Lisheng; Chen, Hao; Xu, Rui-Hua
A Multi-Organ Nucleus Segmentation Challenge
IEEE Transactions on Medical Imaging, v. 39, (5), May 2020, article number 8880654, p. 1380-1391
Zhou Xiaoyang; Chen, Hao
Deep mining external imperfect data for chest X-ray disease screening
IEEE Transactions on Medical Imaging, v. 39, (11), November 2020, p. 3583-3594
Luo, Luyang; Yu, Lequan; Chen, Hao; Liu, Quande; Wang, Xi; Xu, Jiaqi; Heng, Pheng-Ann
Multi-Task Deep Model with Margin Ranking Loss for Lung Nodule Analysis
IEEE Transactions on Medical Imaging, v. 39, (3), March 2020, article number 8794587, p. 718-728
Liu, Lihao; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann
Multi-task recurrent convolutional network with correlation loss for surgical video analysis
Medical Image Analysis, v. 59, January 2020, article number 101572
Jin, Yueming; Li, Huaxia; Dou, Qi; Chen, Hao; Qin, Jing; Fu, Chi-Wing; Heng, Pheng-Ann
Rectifying Supporting Regions with Mixed and Active Supervision for Rib Fracture Recognition
IEEE Transactions on Medical Imaging, v. 39, (12), December 2020, article number 9130071, p. 3843-3854
Huang, Yi-Jie; Liu, Weiping; Wang, Xiuying; Fang, Qu; Wang, Renzhen; Wang, Yi; Chen, Huai; Chen, Hao; Meng, Deyu; Wang, Lisheng
Towards a new generation of artificial intelligence in China
Nature machine intelligence, v. 2, (6), June 2020, p. 312-316
Wu, Fei; Lu, Cewu; Zhu, Mingjie; Chen, Hao; Zhu, Jun; Yu, Kai; Li, Lei; Li, Ming; Chen, Qianfeng; Li, Xi; Cao, Xudong; Wang, Zhongyuan; Zha, Zhengjun; Zhuang, Yueting; Pan, Yunhe
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning
Medical Image Analysis, v. 63, July 2020, article number 101695
Wang, Xi; Chen, Hao; Ran, An-Ran; Luo, Luyang; Chan, Poemen P.; Tham, Clement C.; Chang, Robert T.; Mannil, Suria S.; Cheung, Carol Y.; Heng, Pheng-Ann
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification
IEEE Journal of Biomedical and Health Informatics, v. 24, (12), December 2020, article number 9050843, p. 3431-3442
Wang, Xi; Tang, Fangyao; Chen, Hao; Luo, Luyang; Tang, Ziqi; Ran, An-Ran; Cheung, Carol Y.; Heng, Pheng-Ann
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
IEEE Transactions on Medical Imaging, v. 39, (7), July 2020, article number 8988158, p. 2494-2505
Chen, Cheng; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng Ann
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
IEEE Transactions on Cybernetics, v. 50, (9), September 2020, article number 8822590, p. 3950-3962
Wang, Xi; Chen, Hao; Gan, Caixia; Lin, Huangjing; Dou, Qi; Tsougenis, Efstratios; Huang, Qitao; Cai, Muyan; Heng, Pheng-Ann

Conference paper 2

Deep semi-supervised knowledge distillation for overlapping cervical cell instance segmentation
Lecture Notes in Computer Science, v. 12261, October 2020, p. 521-531
Zhou, Yanning; Chen, Hao; Lin, Huangjing; Heng, Pheng-Ann
Simulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System
ECR 2020, Online, 15-19 July 2020
Du, R; Xie, C.; Yu, J. M. L.; Onder, O.F.; Lai, C. T.-M.; Chen, Hao; Vardhanabhuti, V.


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Article 10

Automatic lesion detection with three-dimensional convolutional neural networks
Biomedical Information Technology, October 2019, p. 265-293
Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann
Deep learning for automated contouring of primary tumor volumes by MRI for nasopharyngeal carcinoma
Radiology, v. 291, (3), June 2019, p. 677-686
Lin, Li; Dou, Qi; Jin, Yue-Ming; Zhou, Guan-Qun; Tang, Yi-Qiang; Chen, Wei-Lin; Su, Bao-An; Liu, Feng; Tao, Chang-Juan; Jiang, Ning; Li, Jun-Yun; Tang, Ling-Long; Xie, Chuan-Miao; Huang, Shao-Min; Ma, Jun; Heng, Pheng-Ann; Wee, Joseph T.S.; Chua, Melvin L.K.; Chen, Hao; Sun, Ying
Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis
The Lancet Digital Health, v. 1, (4), August 2019, p. e172-e182
Ran, An Ran; Cheung, Carol Y.; Wang, Xi; Chen, Hao; Luo, Lu-yang; Chan, Poemen P.; Wong, Mandy O. M.; Chang, Robert T.; Mannil, Suria S.; Young, Alvin L.; Yung, Hon-wah; Pang, Chi Pui; Heng, Pheng-Ann; Tham, Clement C.
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection
IEEE Transactions on Medical Imaging, v. 38, (8), August 2019, article number 8604098, p. 1948-1958
Lin, Huangjing; Chen, Hao; Graham, Simon; Dou, Qi; Rajpoot, Nasir; Heng, Pheng-Ann
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
IEEE Transactions on Medical Imaging, v. 38, (2), February 2019, article number 8447230, p. 550-560
Bándi, Péter; Geessink, Oscar; Manson, Quirine; Van Dijk, Marcory; Balkenhol, Maschenka; Hermsen, Meyke; Ehteshami Bejnordi, Babak; Lee, Byungjae; Paeng, Kyunghyun; Zhong, Aoxiao; Li, Quanzheng; Zanjani, Farhad Ghazvinian; Zinger, Svitlana; Fukuta, Keisuke; Komura, Daisuke; Ovtcharov, Vlado; Cheng, Shenghua; Zeng, Shaoqun; Thagaard, Jeppe; Chen, Hao
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
Medical Image Analysis, v. 52, February 2019, p. 199-211
Graham, Simon; Chen, Hao; Gamper, Jevgenij; Dou, Qi; Heng, Pheng-Ann; Snead, David; Tsang, Yee Wah; Rajpoot, Nasir
PNP-AdaNet: Plug-and-play adversarial domain adaptation network at unpaired cross-modality cardiac segmentation
IEEE Access, v. 7, July 2019, article number 8764342, p. 99065-99076
Dou, Qi; Ouyang, Cheng; Chen, Cheng; Chen, Hao; Glocker, Ben; Zhuang, Xiahai; Heng, Pheng-Ann
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
Medical Image Analysis, v. 58, December 2019, article number 101549
Wang, Shujun; Zhu, Yaxi; Yu, Lequan; Chen, Hao; Lin, Huangjing; Wan, Xiangbo; Fan, Xinjuan; Heng, Pheng-Ann
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection
IEEE Transactions on Intelligent Transportation Systems, v. 20, (3), March 2019, article number 8478157, p. 1010-1019
Hu, Xiaowei; Xu, Xuemiao; Xiao, Yongjie; Chen, Hao; He, Shengfeng; Qin, Jing; Heng, Pheng-Ann
Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images
Journal of Magnetic Resonance Imaging, v. 50, (4), October 2019, p. 1144-1151
Zhou, Juan; Luo, Lu-Yang; Dou, Qi; Chen, Hao; Chen, Cheng; Li, Gong-Jie; Jiang, Ze-Fei; Heng, Pheng-Ann

Book chapter 2

Deep multilevel contextual networks for biomedical image segmentation
Handbook of Medical Image Computing and Computer Assisted Intervention / Edited by S. Kevin Zhou, Daniel Rueckert and Gabor Fichtinger. Elsevier Inc., 2019, p. 231-247
Chen, Hao; Dou, Qi; Qi, Xiaojuan; Cheng, Jie-Zhi; Heng, Pheng-Ann
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics / Edited by: Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang. Springer, Cham, 2019, p. 93-115
Dou, Qi; Chen, Cheng; Ouyang, Cheng; Chen, Hao; Heng, Pheng Ann

Conference paper 15

A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans
Investigative Ophthalmology & Visual Science, v. 60, (9), July 2019, p. 5571-5571
Anran, Ran; Wang, Xi; Luo, Luyang; Chan, Poemen; Chang, Robert; Mannil, Suria Sudhakaran; Chen Hao; Heng, Pheng-Ann; Tham, Clement C.Y.; Cheung, Carol Yim-lui
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
Lecture Notes in Computer Science, v. 11861, October 2019
Shi, Xueying; Dou, Qi; Xue, Cheng; Qin, Jing; Chen, Hao; Heng, Ann Heng
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation
Lecture Notes in Computer Science, v. 11492, June 2019, p. 682-693
Zhou, Yanning; Onder, Omer Fahri; Dou, Qi; Tsougenis, Efstratios; Chen, Hao; Heng, Pheng-Ann
Clinically-Led Automated Radiograph Triaging System Based on Convolution Neural Networks--A Simulation Study
8th Joint Scientific Meeting of Royal College of Radiologists & Hong Kong College of Radiologists and 27th Annual Scientific Meeting of Hong Kong College of Radiologists, Hong Kong, 16-17 November 2019
Tsougenis, E.; Onder, O.F.; Lai, C.; Tang, T.; Lee, C.; Du, R.; Chen, Hao; Vardhanabhuti, V.
Deep angular embedding and feature correlation attention for breast MRI cancer analysis
Lecture Notes in Computer Science, v. 11767, October 2019, p. 504-512
Luo, Luo; Chen, Hao; Wang, Xi; Dou, Qi; Lin, Huangjing; Zhou, Juan; Li, Gongjie; Heng, Pheng-Ann
Diagnostic Assessment of Recalibrated Multi-instance Deep Learning Network for Gastric Dysplasia and Adenocarcinoma in Biopsy
Modern Pathology, v. 32, (3), March 2019
Zhu, Yaxi; Huang, Yan; Wang, Shujun; Chen, Hao; Fan, Xinjuan
IRNet: Instance relation network for overlapping cervical cell segmentation
Lecture Notes in Computer Science, v. 11764, October 2019, p. 640-648
Zhou, Yanning; Chen, Hao; Xu, Jiaqi; Dou, Qi; Heng, Pheng-Ann
Light-weight hybrid convolutional network for liver tumor segmentation
IJCAI International Joint Conference on Artificial Intelligence, v. 2019, August, 2019, p. 4271-4277
Zhang, Jianpeng; Xie, Yutong; Zhang, Pingping; Chen, Hao; Xia, Yong; Shen, Chunhua
PFA-ScanNet: Pyramidal feature aggregation with synergistic learning for breast cancer metastasis analysis
Lecture Notes in Computer Science, v. 11764, October 2019, p. 586-594
Zhao, Zixu; Lin, Huangjing; Chen, Hao; Heng, Pheng-Ann
PRSNet: Part Relation and Selection Network for Bone Age Assessment
Lecture Notes in Computer Science, v. 11769, October 2019, p. 413-421
Ji, Yuanfeng; Chen, Hao; Lin, Dan; Wu, Xiaohua; Lin, Di
Robust learning at noisy labeled medical images: Applied to skin lesion classification
International Symposium on Biomedical Imaging, v. 2019, April 2019, article number 8759203, p. 1280-1283
Xue, Cheng; Dou, Qi; Shi, Xueying; Chen, Hao; Heng, Pheng-Ann
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Lecture Notes in Computer Science, v. 11766, October 2019, p. 447-456
Chen, Cheng; Dou, Qi; Jin, Yueming; Chen, Hao; Qin, Jing; Heng, Pheng-Ann
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
29th British Machine Vision Conference, BMVC 2018, Northumbria UniversityNewcastle; United Kingdom, 3-6 September 2018
Li, Xiaomeng; Yu, Lequan; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann
Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 33, (1), 2019, p. 865-872
Chen, Cheng; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann
Unifying structure analysis and surrogate-driven function regression for glaucoma OCT image screening
Lecture Notes in Computer Science, v. 11764, October 2019, p. 39-47
Wang, Xi; Chen, Hao; Luo, Luyang; Ran, An-ran; Chan, Pomen P.; Tham, Clement C.; Cheung, Carol Y.; Heng, Pheng-Ann


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Article 4

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
Medical Image Analysis, v. 45, April 2018, p. 41-54
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Qi, Xiaojuan; Belavy, Daniel L.; Armbrecht, Gabriele; Felsenberg, Dieter; Zheng, Guoyan; Heng, Pheng-Ann
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
IEEE Transactions on Medical Imaging, v. 37, (12), Deccember 2018, p. 2663-2674
Li, Xiaomeng; Chen, Hao; Qi, Xiaojuan; Dou, Qi; Fu, Chi-Wing; Heng, Pheng-Ann
SV-RCNet: Workflow recognition from surgical videos using recurrent convolutional network
IEEE Transactions on Medical Imaging, v. 37, (5), May 2018, p. 1114-1126
Jin, Yueming; Dou, Qi; Chen, Hao; Yu, Lequan; Qin, Jing; Fu, Chi-Wing; Heng, Pheng-Ann
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
NeuroImage, v. 170, April 2018, p. 446-455
Chen, Hao; Dou, Qi; Yu, Lequan; Qin, Jing; Heng, Pheng-Ann

Conference paper 7

Development and Validation of A Deep Learning Algorithm for Automated Delineation of Primary Tumor for Nasopharyngeal Carcinoma from Multimodal Magnetic Resonance Images
International Journal of Radiation Oncology Biology Physics, v. 102, (3), November 2018, p. e330-e331
Sun, Y.; Dou, Q.; Chen, Hao; Jin, Y.M.; Zhou, G.Q.; Tang, Y.Q.; Chen, W.L.; Su, B.A.; Liu, F.; Tao, C.J.; Jiang, N.; Li, J.Y.; Tang, L.; Xie, C.; Huang, S.M.; Heng, P.A.
HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation
IEEE International Symposium on Biomedical Imaging, v. 2018, May 2018, p. 195-198
Huang, Yi-Jie; Dou, Qi; Wang, Zi-Xian; Liu, Li-Zhi; Wang, Li-Sheng; Chen, Hao; Heng, Pheng-Ann; Xu, Rui-Hua
Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis
Lecture Notes in Computer Science, v. 11045, September 2018, p. 74-82
Liu, Lihao; Dou, Qi; Chen, Hao; Olatunji, Iyiola E.; Qin, Jing; Heng, Pheng-Ann
ScanNet: A fast and dense scanning framework for metastastic breast cancer detection from whole-slide image
IEEE Winter Conference on Applications of Computer Vision, v. 2018, May 2018, p. 539-546
Lin, Huangjing; Chen, Hao; Dou, Qi; Wang, Liansheng; Qin, Jing; Heng, Pheng-Ann
Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest X-ray segmentation
Lecture Notes in Computer Science, v. 11046 , September 2018, p. 143-151
Chen, Cheng; Dou, Qi; Chen, Hao; Heng, Pheng-Ann
SFCN-OPI: Detection and fine-grained classification of nuclei using sibling FCN with objectness prior interaction
Proceedings of the AAAI Conference on Artificial Intelligence, v. 32, (1), 2018, article number 11900, p. 2652-2659
Zhou, Yanning; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann
Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss
IJCAI International Joint Conference on Artificial Intelligence, v. 2018, July 2018, p. 691-697
Dou, Qi; Ouyang, Cheng; Chen, Cheng; Chen, Hao; Heng, Pheng-Ann


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Article 12

3D deeply supervised network for automated segmentation of volumetric medical images
Medical Image Analysis, v. 41, October 2017, p. 40-54
Dou, Qi; Yu, Lequan; Chen, Hao; Jin, Yueming; Yang, Xin; Qin, Jing; Heng, Pheng-Ann
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
IEEE Transactions on Medical Imaging, v. 36, (4), April 2017, article number 7792699, p. 994-1004
Yu, Lequan; Chen, Hao; Dou, Qi; Qin, Jing; Heng, Pheng-Ann
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge
IEEE Transactions on Medical Imaging, v. 36, (6), June 2017, p. 1231-1249
Bernal, Jorge; Tajkbaksh, Nima; Sanchez, Francisco Javier; Matuszewski, Bogdan J.; Chen, Hao; Yu, Lequan; Angermann, Quentin; Romain, Olivier; Rustad, Bj?rn; Balasingham, Ilangko; Pogorelov, Konstantin; Choi, Sungbin; Debard, Quentin; Maier-Hein, Lena; Speidel, Stefanie; Stoyanov, Danail; Brandao, Patrick; Cordova, Henry; Sanchez-Montes, Cristina; Histace, Aymeric
DCAN: Deep contour-aware networks for object instance segmentation from histology images
Medical Image Analysis, v. 36, February 2017, p. 135-146
Chen, Hao; Qi, Xiaojuan; Yu, Lequan; Dou, Qi; Qin, Jing; Heng, Pheng-Ann
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
JAMA - Journal of the American Medical Association, v. 318, (22), December 2017, p. 2199-2210
Bejnordi, Babak Ehteshami; Veta, Mitko; Van Diest, Paul Johannes; Van Ginneken, Bram; Karssemeijer, Nico; Litjens, Geert; Van Der Laak, Jeroen A.W.M.; Chen, Hao; CAMELYON16, Consortium
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge
Medical Image Analysis, v. 35, January 2017, p. 327-344
Zheng, Guoyan; Chu, Chengwen; Belavy, Daniel L.; Ibragimov, Bulat; Korez, Robert; Vrtovec, Toma?; Hutt, Hugo; Everson, Richard; Meakin, Judith; Andrade, Isabel Lopez; Glocker, Ben; Chen, Hao; Dou, Qi; Heng, Pheng-Ann; Wang, Chunliang; Forsberg, Daniel; Neubert, Ale?; Fripp, Jurgen; Urschler, Martin; Li, Shuo
Gland segmentation in colon histology images: The glas challenge contest
Medical Image Analysis, v. 35, January 2017, p. 489-502
Sirinukunwattana, Korsuk; Pluim, Josien P.W.; Chen, Hao; Qi, Xiaojuan; Heng, Pheng-Ann; Guo, Yun Bo; Matuszewski, Bogdan J.; Bruni, Elia; Sanchez, Urko; B?hm, Anton; Ronneberger, Olaf; Cheikh, Bassem Ben; Racoceanu, Daniel; Kainz, Philipp; Pfeiffer, Michael; Urschler, Martin; Snead, David R.J.; Rajpoot, Nasir M.
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos
IEEE Journal of Biomedical and Health Informatics, v. 21, (1), January 2017, article number 7776845, p. 65-75
Yu, Lequan; Chen, Hao; Dou, Qi; Qin, Jing; Heng, Pheng Ann
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
IEEE Transactions on Biomedical Engineering, v. 64, (7), July 2017, p. 1558-1567
Dou, Qi; Chen, Hao; Yu, Lequan; Qin, Jing; Heng, Pheng-Ann
The Height-Width-Depth Ratios of the Intervertebral Discs and Vertebral Bodies in Adolescent Idiopathic Scoliosis vs Controls in a Chinese Population
Scientific Reports, v. 7, April 2017, article number 46448
Chen, Hao; Schl?sser, Tom P.C.; Brink, Rob C.; Colo, Dino; Van Stralen, Marijn; Shi, Lin; Chu, Winnie C.W.; Heng, Pheng-Ann; Castelein, René M.; Cheng, Jack C.Y.
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework
IEEE Transactions on Cybernetics, v. 47, (6), June 2017, p. 1576-1586
Chen, Hao; Wu, Lingyun; Dou, Qi; Qin, Jing; Li, Shengli; Cheng, Jie-Zhi; Ni, Dong; Heng, Pheng-Ann
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Medical Image Analysis, v. 42, December 2017, p. 1-13
Setio, Arnaud Arindra Adiyoso; Traverso, Alberto; de Bel, Thomas; Berens, Moira S.N.; Bogaard, Cas van den; Cerello, Piergiorgio; Chen, Hao; Dou, Qi; Fantacci, Maria Evelina; Geurts, Bram; Gugten, Robbert van der; Heng, Pheng Ann; Jansen, Bart; de Kaste, Michael M.J.; Kotov, Valentin; Lin, Jack Yu-Hung; Manders, Jeroen T.M.C.; Só?ora-Mengana, Alexander; García-Naranjo, Juan Carlos; Papavasileiou, Evgenia

Book chapter 1

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images
Deep Learning for Medical Image Analysis / Edited by S. Kevin Zhou, Hayit Greenspan, Dinggang Shen. Elsevier Inc., 2017, p. 133-154, Ch. 6
Chen, Hao; Dou, Qi; Yu, Lequan; Qin, Jing; Zhao, Lei; Mok, Vincent C.T.; Wang, Defeng; Shi, Lin; Heng, Pheng-Ann

Conference paper 4

AGNet: Attention-guided network for surgical tool presence detection
Lecture Notes in Computer Science, v. 10553, September 2017, p. 186-194
Hu, Xiaowei; Yu, Lequan; Chen, H.; Qin, Jing; Heng, Pheng-Ann
Automated pulmonary nodule detection via 3D convnets with online sample filtering and hybrid-loss residual learning
Lecture Notes in Computer Science, v. 10435, September 2017, p. 630-638
Dou, Qi; Chen, Hao; Jin, Yueming; Lin, Huangjing; Qin, Jing; Heng, Pheng-Ann
Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets
Lecture Notes in Computer Science, v. 10434, September 2017, p. 287-295
Yu, Lequan; Cheng, Jie-Zhi; Dou, Qi; Yang, Xin; Chen, Hao; Qin, Jing; Heng, Pheng-Ann
Volumetric convnets with mixed residual connections for automated prostate segmentation from 3d MR images
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 10510, p. 66-72
Yu, Lequan; Yang, Xin; Chen, Hao; Qin, Jing; Heng, Pheng-Ann


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Article 1

Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks
IEEE Transactions on Medical Imaging, v. 35, (5), May 2016, article number 7403984, p. 1182-1195
Dou, Q.; Chen, Hao; Yu, Lequan; Zhao, Lei; Qin, Jing; Wang, Defeng; Mok, Vincent C.T.; Shi, Lin; Heng, Pheng-Ann

Conference paper 8

3D deeply supervised network for automatic liver segmentation from CT volumes
Lecture Notes in Computer Science, v. 9901, October 2016, p. 487-495
Dou, Qi; Chen, Hao; Jin, Yueming; Yu, Lequan; Qin, Jing; Heng, Pheng-Ann
3D fully convolutional networks for intervertebral disc localization and segmentation
Lecture Notes in Computer Science, v. 9805, August 2016, p. 375-382
Chen, Hao; Dou, Qi; Wang, Xi; Qin, Jing; Cheng, Jack C.Y.; Heng, Pheng-Ann
Automated mitosis detection with deep regression networks
Proceedings of International Symposium on Biomedical Imaging, v. 2016, June 2016, article number 7493482, p. 1204`-1207
Chen, Hao; Wang, Xi; Heng, Pheng Ann
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 2016, December 2016, article number 7780642, p. 2487-2496
Chen, Hao; Qi, Xiaojuan; Yu, Lequan; Heng, Pheng-Ann
Deep contextual networks for neuronal structure segmentation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10141, p. 1167-1173
Chen, Hao; Qi, Xiaojuan; Cheng, Jie-Zhi; Heng, Pheng-Ann
Iterative multi-domain regularized deep learning for anatomical structure detection and segmentation from ultrasound images
Lecture Notes in Computer Science, v. 9901, October 2016, p. 487-495
Chen, Hao; Zheng, Yefeng; Park, Jin-Hyeong; Heng, Pheng-Ann
Mitosis detection in breast cancer histology images via deep cascaded networks
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10140, p. 1160-1166
Chen, Hao; Dou, Qi; Wang, Xi; Qin, Jing; Heng, Pheng-Ann
Multi-scale and modality dropout learning for intervertebral disc localization and segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10182 LNCS, 2016, p. 85-91
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann


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Article 1

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
IEEE Journal of Biomedical and Health Informatics, v. 19, (5), September 2015, article number 7090943, p. 1627-1636
Chen, Hao; Ni, Dong; Qin, Jing; Li, Shengli; Yang, Xin; Wang, Tianfu; Heng, Pheng Ann

Conference paper 5

Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015, November 2015, article number 7320232, p. 7933-7936
Dou, Qi; Chen, Hao; Yu, Lequan; Shi, Lin; Wang, Defeng; Mok, Vincent C.T.; Heng, Pheng Ann
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation
IEEE International Symposium on Biomedical Imaging, v. 2015, July 2015, article number 7163984, p. 764-767
Chen, Hao; Yu, Lequan; Dou, Qi; Shi, Lin; Mok, Vincent C.T.; Heng, Pheng Ann
Automatic fetal ultrasound standard plane detection using knowledge transferred recurrent neural networks
Lecture Notes in Computer Science, v. 9349, November 2015, p. 507-514
Chen, Hao; Dou, Qi; Ni, Dong; Cheng, Jie-Zhi; Qin, Jing; Li, Shengli; Heng, Pheng-Ann
Automatic localization and identification of vertebrae in spine CT via a joint learning model with deep neural networks
Lecture Notes in Computer Science, v. 9349, November 2015, p. 515-522
Chen, Hao; Shen, Chiyao; Qin, Jing; Ni, Dong; Shi, Lin; Cheng, Jack C.Y; Heng, Pheng-Ann
Square Localization for Efficient and Accurate Object Detection
Proceedings: 2015 IEEE International Conference on Computer Vision (ICCV 2015), The Institute of Electrical and Electronics Engineers, Inc., 2015, p. 2560-2568
Lu, Cewu; Lu, Yongyi; Chen, Hao; Tang, Chi Keung


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Conference paper 1

Fetal Abdominal Standard Plane Localization Through Representation Learning with Knowledge Transfer
Lecture Notes in Computer Science, v. 8679, September 2014, p. 125-132
Chen, Hao; Ni, Dong; Yang, Xin; Li, Shengli; Heng, Pheng Ann


Expand All Collapse All


2016 9

Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks
IEEE Transactions on Medical Imaging, v. 35, (5), May 2016, article number 7403984, p. 1182-1195
Dou, Q.; Chen, Hao; Yu, Lequan; Zhao, Lei; Qin, Jing; Wang, Defeng; Mok, Vincent C.T.; Shi, Lin; Heng, Pheng-Ann Article
3D deeply supervised network for automatic liver segmentation from CT volumes
Lecture Notes in Computer Science, v. 9901, October 2016, p. 487-495
Dou, Qi; Chen, Hao; Jin, Yueming; Yu, Lequan; Qin, Jing; Heng, Pheng-Ann Conference paper
3D fully convolutional networks for intervertebral disc localization and segmentation
Lecture Notes in Computer Science, v. 9805, August 2016, p. 375-382
Chen, Hao; Dou, Qi; Wang, Xi; Qin, Jing; Cheng, Jack C.Y.; Heng, Pheng-Ann Conference paper
Automated mitosis detection with deep regression networks
Proceedings of International Symposium on Biomedical Imaging, v. 2016, June 2016, article number 7493482, p. 1204`-1207
Chen, Hao; Wang, Xi; Heng, Pheng Ann Conference paper
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 2016, December 2016, article number 7780642, p. 2487-2496
Chen, Hao; Qi, Xiaojuan; Yu, Lequan; Heng, Pheng-Ann Conference paper
Deep contextual networks for neuronal structure segmentation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10141, p. 1167-1173
Chen, Hao; Qi, Xiaojuan; Cheng, Jie-Zhi; Heng, Pheng-Ann Conference paper
Iterative multi-domain regularized deep learning for anatomical structure detection and segmentation from ultrasound images
Lecture Notes in Computer Science, v. 9901, October 2016, p. 487-495
Chen, Hao; Zheng, Yefeng; Park, Jin-Hyeong; Heng, Pheng-Ann Conference paper
Mitosis detection in breast cancer histology images via deep cascaded networks
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10140, p. 1160-1166
Chen, Hao; Dou, Qi; Wang, Xi; Qin, Jing; Heng, Pheng-Ann Conference paper
Multi-scale and modality dropout learning for intervertebral disc localization and segmentation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10182 LNCS, 2016, p. 85-91
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann Conference paper

2015 6

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
IEEE Journal of Biomedical and Health Informatics, v. 19, (5), September 2015, article number 7090943, p. 1627-1636
Chen, Hao; Ni, Dong; Qin, Jing; Li, Shengli; Yang, Xin; Wang, Tianfu; Heng, Pheng Ann Article
Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015, November 2015, article number 7320232, p. 7933-7936
Dou, Qi; Chen, Hao; Yu, Lequan; Shi, Lin; Wang, Defeng; Mok, Vincent C.T.; Heng, Pheng Ann Conference paper
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation
IEEE International Symposium on Biomedical Imaging, v. 2015, July 2015, article number 7163984, p. 764-767
Chen, Hao; Yu, Lequan; Dou, Qi; Shi, Lin; Mok, Vincent C.T.; Heng, Pheng Ann Conference paper
Automatic fetal ultrasound standard plane detection using knowledge transferred recurrent neural networks
Lecture Notes in Computer Science, v. 9349, November 2015, p. 507-514
Chen, Hao; Dou, Qi; Ni, Dong; Cheng, Jie-Zhi; Qin, Jing; Li, Shengli; Heng, Pheng-Ann Conference paper
Automatic localization and identification of vertebrae in spine CT via a joint learning model with deep neural networks
Lecture Notes in Computer Science, v. 9349, November 2015, p. 515-522
Chen, Hao; Shen, Chiyao; Qin, Jing; Ni, Dong; Shi, Lin; Cheng, Jack C.Y; Heng, Pheng-Ann Conference paper
Square Localization for Efficient and Accurate Object Detection
Proceedings: 2015 IEEE International Conference on Computer Vision (ICCV 2015), The Institute of Electrical and Electronics Engineers, Inc., 2015, p. 2560-2568
Lu, Cewu; Lu, Yongyi; Chen, Hao; Tang, Chi Keung Conference paper

2014 1

Fetal Abdominal Standard Plane Localization Through Representation Learning with Knowledge Transfer
Lecture Notes in Computer Science, v. 8679, September 2014, p. 125-132
Chen, Hao; Ni, Dong; Yang, Xin; Li, Shengli; Heng, Pheng Ann Conference paper


No Publications






Teaching Assignment

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2021-22 Winter 1 2021-22 Fall 5 2020-21 Summer 3 2020-21 Spring 0 2020-21 Winter 0 2020-21 Fall 0

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COMP4971A Independent Work


COMP4421 Image Processing
COMP4971A Independent Work
COMP4981H Final Year Thesis
UROP1100E Undergraduate Research Opportunities Series 1
UROP2100E Undergraduate Research Opportunities Series 2


COMP4971A Independent Work
UROP1000 Undergraduate Research Opportunities
UROP1100D Undergraduate Research Opportunities Series 1


No Teaching Assignments


No Teaching Assignments


No Teaching Assignments






Research Postgraduate (RPG) Supervision From January 2019 to December 2022 (As of 30 January 2022)

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Current RPGs

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Doctor of Philosophy CHE, Haoxuan
Computer Science and Engineering( 2021 - )

JIN, Haibo
Computer Science and Engineering( 2021 - )

LIN, Yi
Computer Science and Engineering( 2021 - )









ProjectsFrom January 2020 to December 2022

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All Projects 1

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No Projects.
AI-CARE: Development of Artificial Intelligence-Assisted Software for Breast Cancer Diagnosis from High-Dimensional MR Images Leading


Sino Software Research Institute


Project Team (HKUST)
CHEN Hao (Lead)


2022 -