Preprint
Scale Federated Learning for Label Set Mismatch in Medical Image Classification
Z Deng, L Luo, H Chen, 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions
L Luo, X Wang, Y Lin, X Ma, A Tan, R Chan etc, 2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
B Qian, H Chen, X Wang, H Che, G Kwon, J Kim, S Choi etc, 2023
Learning Agreement from Multi-source Annotations for Medical Image Segmentation
Y Wang, L Luo, M Wu, Q Wang, H Chen, 2023
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification
H Wang, L Luo, F Wang, R Tong, YW Chen, H Hu, L Lin, H Chen, 2023
Few Shot Medical Image Segmentation with Cross Attention Transformer
Y Lin, Y Chen, KT Cheng, H Chen, 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications
J Dong, J Chen, X Xie, J Lai, H Chen, 2023
A Permutable Hybrid Network for Volumetric Medical Image Segmentation
Y Lin, X Fang, D Zhang, KT Cheng, H Chen, 2023
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning
Y Lin, Z Zhao, Z ZHU, L Wang, KT Cheng, H Chen, 2023
Label-efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
C Jin, Z Guo, Y Lin, L Luo, H Chen, 2023
Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification
C Xiong, Y Lin, H Chen, J Sung, I King, 2023
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images
Lin, Yi; Qu, Zhiyong; Chen, Hao; Gao, Zhongke; Li, Yuexiang; Xia, Lili; Ma, Kai; Zheng, Yefeng; Cheng, Kwang-Ting, 2022
Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions
Zhang, Dong; Lin, Yi; Chen, Hao; Tian, Zhuotao; Yang, Xin; Tang, Jinhui; Cheng, Kwang Ting, 2022
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction
Lin, Yi; Liu, Yanfei; Chen, Hao; Yang, Xin; Ma, Kai; Zheng, Yefeng; Cheng, Kwang-Ting, 2021
Conference
2023
123. Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Y Lin, D Zhang, X Fang, Y Chen, KT Cheng, H Chen. International Conference on Image Processing and Machine Intelligence, 2023
122. Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
H Che, S Chen, H Chen, The IEEE / CVF Computer Vision and Pattern Recognition Conference, 2023
121. DoNet: Deep De-overlapping Network for Cytology Instance Segmentation
H Jiang, R Zhang, Y Zhou, Y Wang, H Chen, The IEEE / CVF Computer Vision and Pattern Recognition Conference, 2023
120. Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures
The IEEE / CVF Computer Vision and Pattern Recognition Conference, 2023
119. Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
C Xiong, H Chen, J Sung, I King, International Joint Conference on Artificial Intelligence, 2023
2022
118. Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification
Luo, Luyang; Xu, Dunyuan; Chen, Hao; Wong, Tien-Tsin; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022, Early Accept
117. Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Cai, Yu; Chen, Hao; Yang, Xin; Zhou, Yu; Cheng, Kwang-Ting. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022, Early Accept
116. Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution
Zhang, Weiwen; Yang, Dawei; Cheung, Carol Y; Chen, Hao. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
115. Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement
Che, Haoxuan; Jin, Haibo; Chen, Hao. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022, Early Accept, MICCAI Travel Award
114. ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans
Chai, Zhizhong; Lin, Huangjing; Luo, Luyang; Heng, Pheng-Ann; Chen, Hao. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022, Early Accept
113. InsMix: Towards Realistic Generative DataAugmentation for Nuclei Instance Segmentation
Lin, Yi; Wang, Zeyu; Cheng, Kwang Ting; Chen, Hao. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022, Early Accept
112. Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation
Li, Heng; Liu, Haofeng; Wang, Xiaoxuan; Yi, Chenlang; Chen, Hao; Hu, Yan; Liu, Jiang. International Symposium on Biomedical Imaging, 2022
111. Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection
Chai, Zhizhong; Luo, Luyang; Lin, Huangjing; Chen, Hao; Han, Anjja; Heng, Pheng Ann. International Symposium on Biomedical Imaging, 2022, , Oral Presentation2021
110. Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
Li, Yanwen; Luo, Luyang; Lin, Huangjing; Chen, Hao; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021, Oral Presentation
109. OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays
Luo, Luyang; Chen, Hao; Zhou, Yanning; Lin, Huangjing; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 20212020
108. Simulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System
Du, R; Xie, C.; Yu, J. M. L.; Onder, O.F.; Lai, C. T.-M.; Chen, Hao; Vardhanabhuti, V. European Congress of Radiology, 2020
107. Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
Zhou, Yanning; Chen, Hao; Lin, Huangjing; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 20202019
106. Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation
Zhang, Jianpeng; Xie, Yutong; Zhang, Pingping; Chen, Hao; Xia, Yong; Shen, Chunhua. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
105. Synergistic Image and Feature Adaptation: Towards Cross-modality Domain Adaptation for Medical Image Segmentation
Chen, Cheng; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann. Proceedings of the AAAI Conference on Artificial Intelligence, 2019
104. Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification
Xue, Cheng; Dou, Qi; Shi, Xueying; Chen, Hao; Heng, Pheng-Ann. International Symposium on Biomedical Imaging, 2019
103. Clinically-Led Automated Radiograph Triaging System Based on Convolution Neural Networks–A Simulation Study
Tsougenis, E.; Onder, O.F.; Lai, C.; Tang, T.; Lee, C.; Du, R.; Chen, Hao; Vardhanabhuti, V. 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, 2019
102. A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans
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. Investigative Ophthalmology & Visual Science, 2019
101. Diagnostic Assessment of Recalibrated Multi-instance Deep Learning Network for Gastric Dysplasia and Adenocarcinoma in Biopsy
Zhu, Yaxi; Huang, Yan; Wang, Shujun; Chen, Hao; Fan, Xinjuan. Modern Pathology, 2019
100. Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis
Luo, Luyang; Chen, Hao; Wang, Xi; Dou, Qi; Lin, Huangjing; Zhou, Juan; Li, Gongjie; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019
99. CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation
Zhou, Yanning; Onder, Omer Fahri; Dou, Qi; Tsougenis, Efstratios; Chen, Hao; Heng, Pheng-Ann. International Conference on Information Processing in Medical Imaging, 2019
98. PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
Zhao, Zixu; Lin, Huangjing; Chen, Hao; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019
97. An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
Shi, Xueying; Dou, Qi; Xue, Cheng; Qin, Jing; Chen, Hao; Heng, Pheng-Ann. International Workshop on Machine Learning in Medical Imaging, 2019
96. Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Chen, Cheng; Dou, Qi; Jin, Yueming; Chen, Hao; Qin, Jing; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019
95. IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
Zhou, Yanning; Chen, Hao; Xu, Jiaqi; Dou, Qi; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019
94. PRSNet: Part Relation and Selection Network for Bone Age Assessment
Ji, Yuanfeng; Chen, Hao; Lin, Dan; Wu, Xiaohua; Lin, Di. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019
93. Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening
Wang, Xi; Chen, Hao; Luo, Luyang; Ran, An-ran; Chan, Pomen P.; Tham, Clement C.; Cheung, Carol Y.; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 20192018
92. Unsupervised Cross-modality Domain Adaptation of Convnets for Biomedical Image Segmentations with Adversarial Loss
Dou, Qi; Ouyang, Cheng; Chen, Cheng; Chen, Hao; Heng, Pheng-Ann. IJCAI International Joint Conference on Artificial Intelligence, 2018
<a href=“https://arxiv.org/abs/1808.03887"91. Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
Li, Xiaomeng; Yu, Lequan; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann. The British Machine Vision Conference , 2018
90. Mtmr-net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis
Liu, Lihao; Dou, Qi; Chen, Hao; Olatunji, Iyiola E.; Qin, Jing; Heng, Pheng-Ann. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2018
89. HL-FCN: Hybrid Loss Guided FCN for Colorectal Cancer Segmentation
Huang, Yi-Jie; Dou, Qi; Wang, Zi-Xian; Liu, Li-Zhi; Wang, Li-Sheng; Chen, Hao; Heng, Pheng-Ann; Xu, Rui-Hua. IEEE International Symposium on Biomedical Imaging, 2018
88. ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-slide Image
Lin, Huangjing; Chen, Hao; Dou, Qi; Wang, Liansheng; Qin, Jing; Heng, Pheng-Ann. IEEE Winter Conference on Applications of Computer Vision, 2018
87. SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction
Zhou, Yanning; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann. Proceedings of the AAAI Conference on Artificial Intelligence, 2018
86. Semantic-aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation
Chen, Cheng; Dou, Qi; Chen, Hao; Heng, Pheng-Ann. International Workshop on Machine Learning in Medical Imaging, 20182017
85. Automatic 3D Cardiovascular MR Segmentation with Densely-connected Volumetric Convnets
Yu, Lequan; Cheng, Jie-Zhi; Dou, Qi; Yang, Xin; Chen, Hao; Qin, Jing; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2017
84. Automated pPulmonary Nodule Detection via 3D Convnets with Online Sample Filtering and Hybrid-loss Residual Learning
Dou, Qi; Chen, Hao; Jin, Yueming; Lin, Huangjing; Qin, Jing; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2017
83. Volumetric Convnets with Mixed Residual Connections for Automated Prostate Segmentation from 3d MR Images
Yu, Lequan; Yang, Xin; Chen, Hao; Qin, Jing; Heng, Pheng-Ann. Proceedings of the AAAI Conference on Artificial Intelligence, 2017
82. AGNet: Attention-guided Network for Surgical Tool Presence Detection
Hu, Xiaowei; Yu, Lequan; Chen, H.; Qin, Jing; Heng, Pheng-Ann. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 20172016
81. Automated Mitosis Detection with Deep Regression Networks
Chen, Hao; Wang, Xi; Heng, Pheng Ann. Proceedings of International Symposium on Biomedical Imaging, 2016
80. DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Chen, Hao; Qi, Xiaojuan; Yu, Lequan; Heng, Pheng-Ann. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016, Winner of MICCAI GlaS Challenge
79. Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Heng, Pheng-Ann. International Workshop on Computational Methods and Clinical Applications for Spine Imaging, 2016
78. 3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation
Chen, Hao; Dou, Qi; Wang, Xi; Qin, Jing; Cheng, Jack C.Y.; Heng, Pheng-Ann. International Conference on Medical Imaging and Augmented Reality, 2016, Best Paper Award
77. Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks
Chen, Hao; Dou, Qi; Wang, Xi; Qin, Jing; Heng, Pheng-Ann. Proceedings of the AAAI Conference on Artificial Intelligence, 2016, Oral Presentation
76. Deep Contextual Networks for Neuronal Structure Segmentation
Chen, Hao; Qi, Xiaojuan; Cheng, Jie-Zhi; Heng, Pheng-Ann. Proceedings of the AAAI Conference on Artificial Intelligence, 2016, Oral Presentation
75. Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images
Chen, Hao; Zheng, Yefeng; Park, Jin-Hyeong; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016
74. 3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Dou, Qi; Chen, Hao; Jin, Yueming; Yu, Lequan; Qin, Jing; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention , 20162015
73. Automatic Localization and Identification of Vertebrae in Spine CT via A Joint Learning Model with Deep Neural Networks
Chen, Hao; Shen, Chiyao; Qin, Jing; Ni, Dong; Shi, Lin; Cheng, Jack C.Y; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2015, MICCAI Travel Award
72. Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks
Chen, Hao; Dou, Qi; Ni, Dong; Cheng, Jie-Zhi; Qin, Jing; Li, Shengli; Heng, Pheng-Ann. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2015, MICCAI Young Scientist Publication Impact Award
71. Automatic Cerebral Microbleeds Detection from MR Images via Independent Subspace Analysis Based Hierarchical Features
Dou, Qi; Chen, Hao; Yu, Lequan; Shi, Lin; Wang, Defeng; Mok, Vincent C.T.; Heng, Pheng Ann. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
70. Automatic Detection of Cerebral Microbleeds via Deep Learning Based 3D Feature representation
Chen, Hao; Yu, Lequan; Dou, Qi; Shi, Lin; Mok, Vincent C.T.; Heng, Pheng Ann. IEEE International Symposium on Biomedical Imaging, 2015
69. Square Localization for Efficient and Accurate Object Detection
Lu, Cewu; Lu, Yongyi; Chen, Hao; Tang, Chi Keung. Proceedings: IEEE International Conference on Computer Vision, 20152014
68. Fetal Abdominal Standard Plane Localization Through Representation Learning with Knowledge Transfer
Chen, Hao; Ni, Dong; Yang, Xin; Li, Shengli; Heng, Pheng Ann. International Workshop on Machine Learning in Medical Imaging, 2014
Journal
2023
67. CKD-TransBTS: Clinical Knowledge-driven Hybrid Transformer with Modality-correlated Cross-attention for Brain Tumor Segmentation
J Lin, J Lin, C Lu, H Chen, H Lin, B Zhao, Z Shi, B Qiu, X Pan, etc. IEEE Transactions on Medical Imaging, 2023
66. The Liver Tumor Segmentation Benchmark (LiTS)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeski etc. Medical Image Analysis, 2023
65. Deep Learning in Optical Coherence Tomography Angiography: Current Progress, Challenges, and Future Directions
D Yang, AR Ran, TX Nguyen, TPH Lin, H Chen, TYY Lai etc. Diagnostics, 2023
64. Deep Semi-Supervised Multiple Instance Learning with Self-correction for DME Classification from OCT Images
X Wang, F Tang, H Chen, CY Cheung, PA Heng. Medical Image Analysis, 20232022
63. Deep Learning for Computational Cytology: A Survey
H Jiang, Y Zhou, Y Lin, RCK Chan, J Liu, H Chen. Medical Image Analysis, 2022
62. A Deep Learning System to Predict Response to Anti-Vascular Endothelial Growth Factor (VEGF) Therapy in Eyes with Diabetic Macular Edema for Optical Coherence Tomography Images
Tang, Fangyao; Wang, Xi; Cai, Yu; Chen, Hao; Heng, Pheng-Ann Heng Pheng-Ann; Cheung, Carol Y. Investigative Ophthalmology & Visual Science, 2022
61. Using Deep Learning for Assessing Image-Quality of 3D Macular Scans from Spectral-Domain Optical Coherence Tomography
Ziqi, Tang; Wang, Xi; Ran, Anran; Tang, Fangyao; Cai, Yu; Che, Haoxuan; Yang, Dawei Gabriel; Luo, Luyang; Liu, Quande; Wong, Yiu Lun. Investigative Ophthalmology & Visual Science, 2022
60. Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning based Radiograph Diagnosis: A Multicenter Study
Luo, Luyang; Chen, Hao; Xiao, Yongjie; Zhou, Yanning; Wang, Xi; Vardhanabhuti, Varut; Wu, Mingxiang; Han, Chu; Liu, Zaiyi; Fang, Xin Hao Benjamin. Radiology: Artificial Intelligence, 2022
59. Deep Semi-supervised Multiple Instance Learning with Self-correction for DME Classification from OCT Images
Wang, Xi; Tang, Fangyao; Chen, Hao; Cheung, Carol Y; Heng, Pheng-Ann. Medical Image Analysis, 2022
58. Deep Learning for Computational Cytology: A Survey
Jiang, Hao; Zhou, Yanning; Lin, Yi; Chan, Ronald CK; Liu, Jiang; Chen, Hao. Medical Image Analysis, 2022
57. PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning
Lin, Jiatai; Han, Guoqiang; Pan, Xipeng; Liu, Zaiyi; Chen, Hao; Li, Danyi; Jia, Xiping; Shi, Zhenwei; Wang, Zhizhen; Cui, Yanfen; Li, Haiming; Liang, Changhong; Liang, Li; Wang, Ying; Han, Chu. IEEE Transactions on Medical Imaging, 2022
56. Three-Dimensional Multi-Task Deep Learning Model to Detect Glaucomatous Optic Neuropathy and Myopic Features From Optical Coherence Tomography Scans: A Retrospective Multi-Centre Study
Ran, An Ran; Wang, Xi; Chan, Poemen P.; Chan, Noel C.; Yip, Wilson; Young, Alvin L.; Wong, Mandy O.M.; Yung, Hon-Wah; Chang, Robert T.; Mannil, Suria S.; Tham, Yih Chung; Cheng, Ching-Yu; Chen, Hao; Li, Fei; Zhang, Xiulan; Heng, Pheng-Ann; Tham, Clement C.; Cheung, Carol Y.. Frontiers in Medicine, 2022
55. An Artificial Intelligence System for the Detection of Bladder Cancer via Cystoscopy: A Multicenter Diagnostic Study
Wu, Shaoxu; Chen, Xiong; Pan, Jiexin; Dong, Wen; Diao, Xiayao; Zhang, Ruiyun; Zhang, Yonghai; Qian, Guang; Chen, Hao; Lin, Haotian; Xu, Shizhong; Chen, Zhiwen; Zhou, Xiaozhou; Mei, Hongbing; Wu, Chenglong; Lv, Qiang; Yuan, Baorui; Chen Zeshi; Liao, Wenjiao; Yang, Xuefan; Chen Hage; Huang, Jian; Lin, Tianxin. Journal of the National Cancer Institute, 20222021
54. Dual-path Network with Synergistic Grouping Loss and Evidence Driven Risk Stratification for Whole Slide Cervical Image Analysis
Lin, Huangjing; Chen, Hao; Wang, Xi; Wang, Qiong; Wang, Liansheng; Heng, Pheng-Ann. Medical Image Analysis, 2021, One of Largest Cervical Screening WSI Datasets
53. Transformation-consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Li, Xiaomeng; Yu, Lequan; Chen, Hao; Fu, Chi-Wing; Xing, Lei; Heng, Pheng-Ann. IEEE Transactions on Neural Networks and Learning Systems, 2021
52. Development and Evaluation of A Deep Learning Algorithm for Rib Segmentation and Fracture Detection from Multicenter Chest CT Images
Wu, Mingxiang; Chai, Zhizhong; Qian, Guangwu; Lin, Huangjing; Wang, Qiong; Wang, Liansheng; Chen, Hao. Radiology: Artificial Intelligence, 2021
51. Deep Virtual Adversarial Self-training with Consistency Regularization for Semi-supervised Medical Image Classification
Wang, Xi; Chen, Hao; Xiang, Huiling; Lin, Huangjing; Lin, Xi; Heng, Pheng-Ann. Medical Image Analysis, 2021
50. A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis
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; Chen, Hao, etc. Diabetes Care, 2021
49. Prediction of Treatment Response According to ASAS-EULAR Management Recommendations in 1 Year for Hip Involvement in Axial Spondyloarthritis Based on MRI and Clinical Indicators
Xie, Zhuoyao; Lu, Zixiao; Chen, Hao; Ye, Qiang; Guo, Chang; Zheng, Kai; Li, Xin; Xie, Qiuxia; Hu, Shaoyong; Zhou, Quan; Zhao, Yinghua. Frontiers in Endocrinology, 2021
48. Potentials of AI in Medical Image Analysis in Gastroenterology and Hepatology
Chen, Hao; Sung, Joseph J.Y.. Journal of Gastroenterology and Hepatology, 2021
47. Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges
Le, Triet HM; Chen, Hao; Babar, Muhammad Ali. ACM Computing Surveys, 20212020
46. Brain Tumor Segmentation with Deep Convolutional Symmetric Neural Network
Chen, Hao; Qin, Zhiguang; Ding, Yi; Tian, Lan; Qin, Zhen. Neurocomputing, 2020
45. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
Wang, Xi; Chen, Hao; Gan, Caixia; Lin, Huangjing; Dou, Qi; Tsougenis, Efstratios; Huang, Qitao; Cai, Muyan; Heng, Pheng-Ann. IEEE Transactions on Cybernetics, 2020
44. Rectifying Supporting Regions with Mixed and Active Supervision for Rib Fracture Recognition
Huang, Yi-Jie; Liu, Weiping; Wang, Xiuying; Fang, Qu; Wang, Renzhen; Wang, Yi; Chen, Huai; Chen, Hao; Meng, Deyu; Wang, Lisheng. IEEE Transactions on Medical Imaging, 2020
43. UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification
Wang, Xi; Tang, Fangyao; Chen, Hao; Luo, Luyang; Tang, Ziqi; Ran, An-Ran; Cheung, Carol Y.; Heng, Pheng-Ann. IEEE Journal of Biomedical and Health Informatics, 2020
42. Towards Multi-center Glaucoma OCT Image Screening with Semi-supervised Joint Structure and Function Multi-task Learning
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. Medical Image Analysis, 2020
41. Multi-Task Deep Model with Margin Ranking Loss for Lung Nodule Analysis
Liu, Lihao; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann. IEEE Transactions on Medical Imaging, 2020
40. Multi-task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
Jin, Yueming; Li, Huaxia; Dou, Qi; Chen, Hao; Qin, Jing; Fu, Chi-Wing; Heng, Pheng-Ann. Medical Image Analysis, 2020
39. Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Chen, Cheng; Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng Ann. IEEE Transactions on Medical Imaging, 2020
38. 3D Roi-aware U-net for Accurate and Efficient Colorectal Tumor Segmentation
Huang, Yi-Jie; Dou, Qi; Wang, Zi-Xian; Liu, Li-Zhi; Jin, Ying; Li, Chao-Feng; Wang, Lisheng; Chen, Hao; Xu, Rui-Hua. IEEE Transactions on Cybernetics, 2020
37. Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Luo, Luyang; Yu, Lequan; Chen, Hao; Liu, Quande; Wang, Xi; Xu, Jiaqi; Heng, Pheng-Ann. IEEE Transactions on Medical Imaging, 2020
36. Towards A New Generation of Artificial Intelligence in China
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. Nature Machine Intelligence, 2020, WAIC SAIL Award
35. A Multi-Organ Nucleus Segmentation Challenge
Kumar, Neeraj, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen etc. IEEE Transactions on Medical Imaging, 20202019
34. Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma
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. Radiology, 2019
33. Weakly Supervised 3D Deep Learning for Breast Cancer Classification and Localization of the Lesions in MR Images
Zhou, Juan; Luo, Lu-Yang; Dou, Qi; Chen, Hao; Chen, Cheng; Li, Gong-Jie; Jiang, Ze-Fei; Heng, Pheng-Ann. Journal of Magnetic Resonance Imaging, 2019
32. From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
Bándi, Péter; Geessink, Oscar; Manson, Quirine; Van Dijk, Marcory; Balkenhol, Maschenka; Hermsen, Meyke; Ehteshami Bejnordi, Babak; Lee, Byungjae; Paeng, Kyunghyun; Zhong, Aoxiao; Li, Quanzheng; Chen, Hao etc. IEEE Transactions on Medical Imaging, 2019
31. PNP-AdaNet: Plug-and-play Adversarial Domain Adaptation Network at Unpaired Cross-modality Cardiac Segmentation
Dou, Qi; Ouyang, Cheng; Chen, Cheng; Chen, Hao; Glocker, Ben; Zhuang, Xiahai; Heng, Pheng-Ann. IEEE Access, 2019
30. Detection of Glaucomatous Optic Neuropathy with Spectral-domain Optical Coherence Tomography: A Retrospective Training and Validation Deep-learning Analysis
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. The Lancet Digital Health, 2019, Journal Cover Page
29. Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection
Lin, Huangjing; Chen, Hao; Graham, Simon; Dou, Qi; Rajpoot, Nasir; Heng, Pheng-Ann. IEEE Transactions on Medical Imaging, 2019
28. MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
Graham, Simon; Chen, Hao; Gamper, Jevgenij; Dou, Qi; Heng, Pheng-Ann; Snead, David; Tsang, Yee Wah; Rajpoot, Nasir. Medical Image Analysis, 2019
27. SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection
Hu, Xiaowei; Xu, Xuemiao; Xiao, Yongjie; Chen, Hao; He, Shengfeng; Qin, Jing; Heng, Pheng-Ann. IEEE Transactions on Intelligent Transportation Systems, 2019
26. RMDL: Recalibrated Multi-instance Deep Learning for Whole Slide Gastric Image Classification
Wang, Shujun; Zhu, Yaxi; Yu, Lequan; Chen, Hao; Lin, Huangjing; Wan, Xiangbo; Fan, Xinjuan; Heng, Pheng-Ann. Medical Image Analysis, 20192018
25. SV-RCNet: Workflow Recognition from Surgical Videos Using Recurrent Convolutional Network
Jin, Yueming; Dou, Qi; Chen, Hao; Yu, Lequan; Qin, Jing; Fu, Chi-Wing; Heng, Pheng-Ann. IEEE Transactions on Medical Imaging, 2018
24. Development and Validation of A Deep Learning Algorithm for Automated Delineation of Primary Tumor for Nasopharyngeal Carcinoma from Multimodal Magnetic Resonance Images
Sun, Y.; Dou, Q.; Chen, Hao etc. International Journal of Radiation Oncology Biology Physics, 2018
23. VoxResNet: Deep Voxelwise Residual Networks for Brain Segmentation from 3D MR Images
Chen, Hao; Dou, Qi; Yu, Lequan; Qin, Jing; Heng, Pheng-Ann. NeuroImage, 2018, Most Cited NeuroImage Article
22. 3D multi-scale FCN with Random Modality Voxel Dropout Learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
Li, Xiaomeng; Dou, Qi; Chen, Hao; Fu, Chi-Wing; Qi, Xiaojuan; Belavý, Daniel L.; Armbrecht, Gabriele; Felsenberg, Dieter; Zheng, Guoyan; Heng, Pheng-Ann. Medical Image Analysis, 2018
21. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Li, Xiaomeng; Chen, Hao; Qi, Xiaojuan; Dou, Qi; Fu, Chi-Wing; Heng, Pheng-Ann. IEEE Transactions on Medical Imaging, 2018, ESI Highly Cited Paper and Winner of LiTS Challenge2017
20. Gland Segmentation in Colon Histology Images: The GLAS Challenge Contest
Sirinukunwattana, Korsuk; Pluim, Josien P.W.; Chen, Hao; Qi, Xiaojuan; Heng, Pheng-Ann; Guo, Yun Bo; Matuszewski, Bogdan J.; Bruni, Elia; Sanchez, Urko; Böhm, Anton; Ronneberger, Olaf; Cheikh, Bassem Ben; Racoceanu, Daniel; Kainz, Philipp; Pfeiffer, Michael; Urschler, Martin; Snead, David R.J.; Rajpoot, Nasir M.. Medical Image Analysis, 2017
19. Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge
Bernal, Jorge; Tajkbaksh, Nima; Sanchez, Francisco Javier; Matuszewski, Bogdan J.; Chen, Hao, etc. IEEE Transactions on Medical Imaging, 2017
18. Ultrasound Standard Plane Detection Using a Composite Neural Network Framework
Chen, Hao; Wu, Lingyun; Dou, Qi; Qin, Jing; Li, Shengli; Cheng, Jie-Zhi; Ni, Dong; Heng, Pheng-Ann. IEEE Transactions on Cybernetics, 2017
17. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Yu, Lequan; Chen, Hao; Dou, Qi; Qin, Jing; Heng, Pheng-Ann. IEEE Transactions on Medical Imaging, 2017
16. The Height-Width-Depth Ratios of the Intervertebral Discs and Vertebral Bodies in Adolescent Idiopathic Scoliosis vs Controls in a Chinese Population
Chen, Hao; Schlösser, 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.. Scientific Reports, 2017
15. Evaluation and Comparison of 3D Intervertebral Disc Localization and Segmentation Methods for 3D T2 MR Data: A Grand Challenge
Zheng, Guoyan; Chu, Chengwen; Belavý, Daniel L.; Ibragimov, Bulat; Korez, Robert; Vrtovec, Tomaž; Hutt, Hugo; Everson, Richard; Meakin, Judith; Andrade, Isabel Lopez; Glocker, Ben; Chen, Hao; Dou, Qi; Heng, Pheng-Ann; Wang, Chunliang; Forsberg, Daniel; Neubert, Aleš; Fripp, Jurgen; Urschler, Martin; Li, Shuo. Medical Image Analysis, 2017
14. Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
Dou, Qi; Chen, Hao; Yu, Lequan; Qin, Jing; Heng, Pheng-Ann. IEEE Transactions on Biomedical Engineering, 2017
13. DCAN: Deep Contour-aware Networks for Object Instance Segmentation from Histology Images
Chen, Hao; Qi, Xiaojuan; Yu, Lequan; Dou, Qi; Qin, Jing; Heng, Pheng-Ann. Medical Image Analysis, 2017
12. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women with Breast Cancer
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. JAMA - Journal of the American Medical Association, 2017, First Large-scale WSI Study
11. Validation, Comparison, and Combination of Algorithms for Automatic Detection of Pulmonary Nodules in Computed Tomography Images: The LUNA16 Challenge
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 etc. Medical Image Analysis, 2017
10. Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos
Yu, Lequan; Chen, Hao; Dou, Qi; Qin, Jing; Heng, Pheng Ann. IEEE Journal of Biomedical and Health Informatics, 2017
9. 3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images
Dou, Qi; Yu, Lequan; Chen, Hao; Jin, Yueming; Yang, Xin; Qin, Jing; Heng, Pheng-Ann. Medical Image Analysis, 2017, MIA-Elsevier Best Paper Award2016
8. EndoRCN: Recurrent Convolutional Networks for Recognition of Surgical Workflow in Cholecystectomy Procedure Video
Jin, Yueming; Dou, Qi; Chen, Hao; Yu, Lequan; Heng, Pheng-Ann; IEEE Transactions on Medical Imaging, 2016
7. Special Issue on Deep Learning in Medical Imaging
Greenspan, H; van Ginneken, B; Summers, R; Setio, AAA; Ciompi, F; Litjens, G; Gerke, P; Jacobs, C; van Riel, SJ; Wille, MMW. IEEE Transactions on Medical Imaging, 2016
6. Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks
Dou, Q.; Chen, Hao; Yu, Lequan; Zhao, Lei; Qin, Jing; Wang, Defeng; Mok, Vincent C.T.; Shi, Lin; Heng, Pheng-Ann. IEEE Transactions on Medical Imaging, 2016
5. Standard Plane Localization in Fetal Ultrasound via Domain Trsmallansferred Deep Neural Networks
Chen, Hao; Ni, Dong; Qin, Jing; Li, Shengli; Yang, Xin; Wang, Tianfu; Heng, Pheng Ann. IEEE Journal of Biomedical and Health Informatics, 2015
Book Chapter
4. Automatic Lesion Detection with Three-dimensional Convolutional Neural Networks
Dou, Qi; Chen, Hao; Qin, Jing; Heng, Pheng-Ann. Biomedical Information Technology, 2020, p. 265-293
3. Deep multilevel contextual networks for biomedical image segmentation
Chen, Hao; Dou, Qi; Qi, Xiaojuan; Cheng, Jie-Zhi; Heng, Pheng-Ann. Handbook of Medical Image Computing and Computer Assisted Intervention, 2019, p. 231-247
2. Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning
Dou, Qi; Chen, Cheng; Ouyang, Cheng; Chen, Hao; Heng, Pheng Ann. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019, p. 93-115
1. Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images
Chen, Hao; Dou, Qi; Yu, Lequan; Qin, Jing; Zhao, Lei; Mok, Vincent C.T.; Wang, Defeng; Shi, Lin; Heng, Pheng-Ann. Deep Learning for Medical Image Analysis, 2017, p. 133-154