Qi Dou Homepage

SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation.
(ICCV 2021)

StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS.
(ICRA 2023)

Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking.
(ECCV 2022)

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space.
(CVPR 2021)

Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery.
(ICRA 2021, Best Paper Award in Medical Robotics)

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery.
(MICCAI 2022, Young Scientist Publication Award)

Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning.
(IEEE RA-L 2023)
Open Source

E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception.
(MICCAI 2021)

Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario.
(ISMR 2022)

SurRoL: An Open-source RL Centered and dVRK Compatible Platform for Surgical Robot Learning.
(IROS 2021)

Publications (show selected / full list / book chapters)

2024 (33)

Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments.
Yiyao Ma*, Kai Chen*, Hon Sing Tong, Ruofeng Wei, Yui Lun Ng, Ka-Wai Kwok, Qi Dou. [project]
European Conference on Computer Vision (ECCV), 2024.

Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models.
Jiaqi Xu, Mengyang Wu, Xiaowei Hu, Chi-Wing Fu, Qi Dou, Pheng-Ann Heng.
European Conference on Computer Vision (ECCV), 2024.

Extended Reality with HMD-Assisted Guidance and Console 3D Overlay for Robotic Surgery
Remote Mentoring.
Chengkun Li, Yuqi Tong, Yonghao Long, Weixin Si, David Yeung, Jason Ying-Kuen Chan, Qi Dou.
IEEE Robotics and Automation Letters (IEEE RA-L), 2024.

Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling.
Ruofeng Wei, Bin Li, Kai Chen, Yiyao Ma, Yun-Hui Liu, Qi Dou.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.

Weakly-Supervised Medical Image Segmentation with Gaze Annotations.
Yuan Zhong, Chenhui Tang, Yumeng Yang, Ruoxi Qi, Kang Zhou, Yuqi Gong,
Pheng-Ann Heng, Janet Hsiao, Qi Dou. [code]
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.

Robust Semi-Supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration.
Xiaogen Zhou, Yiyou Sun, Min Deng, Winnie Chiu Wing Chu, Qi Dou. [code]
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.

Language-enhanced Local-global Aggregation Network for Multi-organ Trauma Detection. [code]
Jianxun Yu, Qixin Hu, Meirui Jiang*, Yanning Wang, Yuting Wang, Jing Wang, Huimao Zhang, Qi Dou.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.

Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring. [code]
Tiantian Zhang*, Manxi Lin*, Hongda Guo, Xiaofan Zhang, Ka Fung Peter Chiu, Aasa Feragen, Qi Dou.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.

EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting. [project]
Kailing Wang, Chen Yang, Yuehao Wang, Sikuang Li, Yan Wang, Qi Dou, Xiaokang Yang, Wei Shen.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.

Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting.
Shuojue Yang, Qian Li, Daiyun Shen, Bingchen Gong, Qi Dou, Yueming Jin. [code]
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.

Heterogeneous Personalized Federated Learning by Local-Global Updates
Mixing via Convergence Rate.
Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou. [code]
International Conference on Learning Representations (ICLR), 2024.

Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation. [code]
Jiawei Fu, Yonghao Long, Kai Chen, Wang Wei, Qi Dou.
International Conference on Robotics and Automation (ICRA), 2024.

Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-template Matching.
Jiaxin Guo, Jiangliu Wang, Zhaoshuo Li, Tongyu Jia, Qi Dou, Yun-Hui Liu. [code]
IEEE International Conference on Robotics and Automation (ICRA), 2024.

RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation.
Boshi An*, Yiran Geng*, Kai Chen*, Xiaoqi Li, Qi Dou, Hao Dong. [code]
International Conference on Robotics and Automation (ICRA), 2024.

Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage.
Wenao Ma, Cheng Chen, Yuqi Gong, Nga Yan Chan, Meirui Jiang, Calvin Mak, Jill Abrigo, Qi Dou. [code]
IEEE Transactions on Medical Imaging (TMI), 2024.

Self-Supervised Cyclic Diffeomorphic Mapping for Soft Tissue Deformation Recovery in Robotic Surgery Scenes. [code]
Shizhan Gong, Yonghao Long, Kai Chen, Jiaqi Liu, Yuliang Xiao, Alexis Cheng, Zerui Wang, Qi Dou.
IEEE Transactions on Medical Imaging (TMI), 2024.

Breast Cancer Classification from Digital Pathology Images via Connectivity-aware Graph Transformer. [code]
Kang Wang, Feiyang Zheng, Lan Cheng, Hong-Ning Dai, Qi Dou, Jing Qin.
IEEE Transactions on Medical Imaging (TMI), 2024.

On the Monocular 3D Pose Estimation for Arbitrary Shaped Needle in Dynamic Scenes: An Efficient Visual Learning and Geometry Modeling Approach.
Bin Li, Bo Lu, Hongbin Lin, Yaxiang Wang, Fangxun Zhong, Qi Dou, Yun-Hui Liu.
IEEE Transactions on Medical Robotics and Bionics (T-MRB), 2024.

A Simultaneous Polyp and Lumen Detection Framework Towards Autonomous Robotic Colonoscopy. [dataset]
Wing Yin Ng, Yehui Li, Tianle Pan, Yichong Sun, Qi Dou, Pheng Ann Heng, Philip Wai Yan Chiu, Zheng Li.
IEEE Transactions on Medical Robotics and Bionics (T-MRB), 2024.

Any-point Trajectory Modeling for Policy Learning. [code]
Chuan Wen*, Xingyu Lin*, John So*, Kai Chen, Qi Dou, Yang Gao, Pieter Abbee.
Robotics: Science and Systems (RSS), 2024.

Segmentation of Tiny Intracranial Hemorrhage via Learning-to-Rank Local Feature Enhancement.
Shizhan Gong, Yuan Zhong, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Mak, Jill Abrigo, Qi Dou. [code]
IEEE International Symposium on Biomedical Imaging (ISBI), 2024.

A Review on Organ Deformation Modeling Approaches for Reliable Surgical Navigation Using Augmented Reality.
Zheng Han, Qi Dou.
Computer Assisted Surgery (CAS), 2024.

Advancing Diabetic Macular Edema Detection from 3D Optical Coherence Tomography Scans: Integrating Privacy-Preserving AI and Generalizability Techniques - A Prospective Validation in Vietnam.
Truong Truong*, Meirui Jiang*, Dawei Yang, An Ran Ran, Ziqi Tang, Shuyi Zhang, Xioyan Hu, Simon K.H. Szeto, Jason Chan, Cherie Y.K. Wong , Vivian Hui, Carmen K.M. Chan, Victor T.T. Chan, Andrew Mak, Mary Ho, Wilson Yip, Alvin Young, Theodore Leng, Gavin Tan, Tien Yin Wong, Peng-Ann Heng, Clement C. Tham, Timothy Lai, Qi Dou, Carol Y. Cheung.
The New England Journal of Medicine Artificial Intelligence (NEJM AI), 2024.

Efficient Physically-based Simulation of Soft Bodies in Embodied Environment for Surgical Robot.
Zhenya Yang, Yonghao Long, Kai Chen, Wang Wei, Qi Dou. [project]
arXiv preprint arXiv:2402.01181.

Efficient Data-driven Scene Simulation using Robotic Surgery Videos via Physics-embedded 3D Gaussians.
Zhenya Yang, Kai Chen, Yonghao Long, Qi Dou.
arXiv preprint arXiv:2405.00956.

Rapid Endoscopic Diagnosis of Benign Ulcerative Colorectal Diseases With an Artificial Intelligence Contextual Framework.
Xiaobei Luo, Jiahao Wang, Chuanchuan Tan, Qi Dou, Zelong Han, Zhenjiang Wang, Farah Tasnim, Xiyu Wang, Qiang Zhan, Xiang Li, Qunyan Zhou, Jianbin Cheng, Fabiao Liao, Hon Chi Yip, Jiayi Jiang, Robby T Tan, Side Liu, Hanry Yu.
Gastroenterology, 2024.

Feddbl: Communication and Data Efficient Federated Deep-broad Learning for Histopathological Tissue Classification.
Tianpeng Deng, Yanqi Huang, Guoqiang Han, Zhenwei Shi, Jiatai Lin, Qi Dou, Zaiyi Liu, Xiao-jing Guo, CL Philip Chen, Chu Han. [code]
IEEE Transactions on Cybernetics, 2024.

ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning.
Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng Ann Heng. [code]
AAAI Conference on Artificial Intelligence (AAAI), 2024.

Adaptive Online Learning and Robust 3-D Shape Servoing of Continuum and Soft Robots in Unstructured Environments.
Yiang Lu, Wei Chen, Bo Lu, Jianshu Zhou, Zhi Chen, Qi Dou, Yun-Hui Liu.
Soft Robotics (SoRo), 2024.

Absolute Monocular Depth Estimation on Robotic Visual and Kinematics Data via Self-Supervised Learning.
Ruofeng Wei, Bin Li, Fangxun Zhong, Hangjie Mo, Qi Dou, Yun-Hui Liu, Dong Sun.
IEEE Transactions on Automation Science and Engineering (TASE), 2024.

Efficient EndoNeRF Reconstruction and Its Application for Data-driven Surgical Simulation.
Yuehao Wang, Bingchen Gong, Yonghao Long, Siu Hin Fan, Qi Dou. [code]
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2024.
(IJCARS-MICCAI 2022 Best Paper Award 3rd Prize)

Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training.
Shizhan Gong, Qi Dou, Farzan Farnia. [code]
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Efficient Transferability Assessment for Selection of Pre-Trained Detectors.
Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.

Where is VALDO? VAscular lesions detection and segmentation challenge at MICCAI 2021.
Carole H Sudre, Kimberlin Van Wijnen, et al. (MICCAI challenge summary paper)
Medical Image Analysis (MedIA), 2024.

2023 (36)

Intelligent Surgical Workflow Recognition for Endoscopic Submucosal Dissection with Real-time Animal Study.
Jianfeng Cao, Hon-Chi Yip, Yueyao Chen, Markus Scheppach, Xiaobei Luo, Hongzheng Yang, Ming Kit Cheng, Yonghao Long, Yueming Jin, Philip Wai-Yan Chiu, Yeung Yam, Helen Mei-Ling Meng, Qi Dou.
Nature Communications, 2023.

Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization.
Zhao Wang, Aoxue Li, Fengwei Zhou, Zhenguo Li, Qi Dou.
British Machine Vision Conference (BMVC), 2023.

SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation.
Bingchen Gong, Yuehao Wang, Xiaoguang Han, Qi Dou.
SIGGRAPH Asia, 2023.

Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation.
Jun Zhou*, Kai Chen*, Linlin Xu, Qi Dou, Jing Qin. [code]
International Conference on Computer Vision (ICCV), 2023.

Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train.
Zhao Wang*, Chang Liu*, Shaoting Zhang, Qi Dou. [code & data release]
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

Imitation Learning from Expert Video Data for Dissection Trajectory Prediction in Endoscopic Surgical Procedure.
Jianan Li, Yueming Jin, Yueyao Chen, Hon Chi Yip, Markus Scheppach, Philip Chiu, Yeung Yam, Helen Meng, Qi Dou.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models.
Yuhao Du, Yuncheng Jiang, Shuangyi Tan, Xusheng Wu, Qi Dou, Zhen Li, Guanbin Li, Xiang Wan.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging.
Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou. [code]
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation.
Minghui Chen, Meirui Jiang, Zehua Wang, Qi Dou, Xiaoxiao Li.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk.
Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images.
Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. [code]
Wenao Ma, Cheng Chen, Jill Abrigo, Calvin Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

RecolorNeRF: Layer Decomposed Radiance Field for Efficient Color Editing of 3D Scenes.
Bingchen Gong*, Yuehao Wang*, Xiaoguang Han, Qi Dou. [project]
ACM Multimedia (ACM MM), 2023.

Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries.
Jiaqi Liu, Yonghao Long, Kai Chen, Cheuk Hei Leung, Zerui Wang, Qi Dou.
International Conference on Intelligent Robots and Systems (IROS), 2023.

Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot.
Tao Huang*, Kai Chen*, Wang Wei, Jianan Li, Yonghao Long, Qi Dou. [code]
International Conference on Intelligent Robots and Systems (IROS), 2023.

End-to-End Deep Visual Control for Mastering Needle-Picking Skills With World Models and Behavior Cloning.
Hongbin Lin, Bin Li, Xiangyu Chu, Qi Dou, Yunhui Liu, Kwok Wai Samuel Au.
International Conference on Intelligent Robots and Systems (IROS), 2023.

Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning. [project]
Yonghao Long, Wang Wei, Tao Huang, Yuehao Wang, Qi Dou.
IEEE Robotics and Automation Letters (IEEE RA-L), 2023.

Automatic Multiparametric Magnetic Resonance Imaging‐Based Prostate Lesions Assessment with Unsupervised Domain Adaptation.
Jing Dai, Xiaomei Wang, Yingqi Li, Zhiyu Liu, Yui-Lun Ng, Jiaren Xiao, Joe King Man Fan, James Lam, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok.
Advanced Intelligent Systems, 2023.

Intelligent Shape Decoding of a Soft Optical Waveguide Sensor.
Chi-Hin Mak, Yingqi Li, Kui Wang, Mengjie Wu, Justin Di-Lang Ho, Qi Dou, Kam-Yim Sze, Kaspar Althoefer, Ka-Wai Kwok.
Advanced Intelligent Systems, 2023.

Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation.
Jun Lyu, Guangyuan Li, Chengyan Wang, Qing Cai, Qi Dou, David Zhang, Jing Qin.
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023.

Region-focused Multi-view Transformer-based Generative Adversarial Network for Cardiac Cine MRI Reconstruction.
Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin.
Medical Image Analysis (MedIA), 2023.

Adaptive Feature Aggregation based Multi-task Learning for Uncertainty-guided Semi-supervised Medical Image Segmentation.
Jun Lyu, Bin Sui, Chengyan Wang, Qi Dou, Jing Qin.
Expert Systems with Applications, 2023.

Triplet Attention and Dual-pool Contrastive Learning for Clinic-driven Multi-label Medical Image Classification.
Yuhan Zhang, Luyang Luo, Qi Dou, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2023.

PEg TRAnsfer Workflow Recognition Challenge Report: Do Multimodal Data Improve Recognition?
Arnaud Huaulme et al. (A summary report of MICCAI challenge led by Pierre Jannin's team at Rennes)
Computer Methods and Programs in Biomedicine, 2023.

Joint Optimization of Class-Specific Training-and Test-Time Data Augmentation in Segmentation.
Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker.
IEEE Transactions on Medical Imaging (TMI), 2023.

IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. [code]
Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou.
IEEE Transactions on Medical Imaging (TMI), 2023.

Fair Federated Medical Image Segmentation via Client Contribution Estimation.
Meirui Jiang, Holger Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu. [code]
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Why is the Winner the Best?
Matthias Eisenmann, Annika Reinke, et al. (A paper to analyze medical imaigng benchmark competitions, led by Lena Maier-Hein's team at DKFZ)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Video Dehazing via a Multi-range Temporal Alignment Network with Physical Prior.
Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot. [code]
Tao Huang, Kai Chen, Bin Li, Yunhui Liu, Qi Dou.
IEEE International Conference on Robotics and Automation (ICRA), 2023.

StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via
Back-View NOCS. [project]
Kai Chen, Stephen James, Congying Sui, Yunhui Liu, Pieter Abbeel, Qi Dou.
IEEE International Conference on Robotics and Automation (ICRA), 2023.

Two-Stage Grasping: A New Bin Picking Framework for Small Objects.
Hanwen Cao, Rui Cao, Yichuan Li, Jianshu Zhou*, Qi Dou, Yunhui Liu.
IEEE International Conference on Robotics and Automation (ICRA), 2023.

Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and
3-D Shape Planning.
Yiang Lu, Ruofeng wei, Bin Li, Wei Chen, Jianshu Zhou, Qi Dou, Dong Sun, Yunhui Liu.
IEEE International Conference on Robotics and Automation (ICRA), 2023.

On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations.
Wenlong Deng*, Yuan Zhong*, Qi Dou, Xiaoxiao Li.
Information Processing in Medical Imaging (IPMI), 2023.

Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. (Oral)

Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Mak, Jill Abrigo, Qi Dou.
Information Processing in Medical Imaging (IPMI), 2023.

Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. [project]
Junming Chen*, Meirui Jiang*, Qi Dou, Qifeng Chen.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.

2022 (37)

Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking.
Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou.
European Conference on Computer Vision (ECCV), 2022. [project]

Tackling Long-Tailed Category Distribution Under Domain Shifts.
Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang.
European Conference on Computer Vision (ECCV), 2022.

Federated Learning Enables Big Data for Rare Cancer Boundary Detection.
Work on a real-world large-scale FL deployment, led by Spyridon Bakas, Sarthak Pati, Ujjwal Baid, et al.
CUHK team (only participant in China): Meirui Jiang, Tiffany Y So, Cheng Chen, Pheng Ann Heng, Qi Dou.
Nature Communications, 2022.

DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images.
Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng Ann Heng, Qi Dou.
IEEE Transactions on Medical Imaging (TMI), 2022.

Trans-SVNet: Hybrid Embedding Aggregation Transformer for Surgical Workflow Analysis.
Yueming Jin, Yonghao Long, Xiaojie Gao, Danail Stoyanov, Qi Dou, Pheng-Ann Heng.
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022.

Development of Deep Learning Algorithms to Discriminate Giant Cell Tumors of Bone from Adjacent Normal Tissues by Confocal Raman Spectroscopy.
Carol PY Lau, Wenao Ma, Kwan Yau Law, Maribel D Lacambra, Kwok Chuen Wong, Chien Wei Lee, Oscar K Lee, Qi Dou, Shekhar M Kumta.
Analyst, 2022.

Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study.
Jie Lian, Yonghao Long, Fan Huang, Kei Shing Ng, Faith MY Lee, David CL Lam, Benjamin XL Fang,
Qi Dou, Varut Vardhanabhuti.
Frontiers in Oncology, 2022.

Morphology-aware Multi-source Fusion–based Intracranial Aneurysms Rupture Prediction.
Chubin Ou, Caizi Li, Yi Qian, Chuan-Zhi Duan, Weixin Si, Xin Zhang, Xifeng Li, Michael Morgan, Qi Dou, Pheng-Ann Heng.
European Radiology, 2022.

Stereo Dense Scene Reconstruction and Accurate Localization for Learning-Based Navigation of Laparoscope in Minimally Invasive Surgery.
Ruofeng Wei, Bin Li, Hangjie Mo, Bo Lu, Yonghao Long, Bohan Yang, Qi Dou, Yunhui Liu, Dong Sun.
IEEE Transactions on Biomedical Engineering (TBME), 2022.

Domain Adaptive Graph Infomax Via Conditional Adversarial Networks.
Jiaren Xiao, Quanyu Dai, Xiaochen Xie, Qi Dou, Ka-Wai Kwok, James Lam.
IEEE Transactions on Network Science and Engineering (TNSE), 2022.

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery.
Yuehao Wang, Yonghao Long, Siu Hin Fan, Qi Dou.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022.
(Young Scientist Publication Award, Student Travel Award, Early accept)

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance.
Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. (Early accept)

Test-time Adaptation with Calibration of Medical Image Classification Nets for Label
Distribution Shift.
Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. (Early accept)

Flat-aware Cross-stage Distilled Framework for Imbalanced Medical Image Classification.
Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. (Early accept)

WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast
MRI Super-resolution.
Guangyuan Li, Jun Lv, Chengyan Wang, Qi Dou, Jing Qin.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022. (Early accept)

DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast
Multi-contrast MR Imaging.
Jun Lv, Bin Sui, Chengyan Wang, Yapeng Tian, Qi Dou, Jing Qin.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022.

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy.
Ziyi Wang, Bo Lu, Yonghao Long, Fangxun Zhong, Tak Hong Cheung, Qi Dou, Yun-Hui Liu.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022.

Robotic Surgery Remote Mentoring via AR with 3D Scene Streaming and Hand Interaction.
Yonghao Long*, Chengkun Li*, Qi Dou.
arXiv preprint:2204.04377

Learning Laparoscope Actions via Video Features for Proactive Robotic Field-of-View Control.
Bin Li, Bo Lu, Ziyi Wang, Fangxun Zhong, Qi Dou, Yun-Hui Liu.
International Conference on Intelligent Robots and Systems (IROS), 2022.

Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction.
Ruofeng Wei, Bin Li, Hangjie Mo, Fangxun Zhong, Yonghao Long, Qi Dou, Yunhui Liu, Dong Sun.
International Conference on Intelligent Robots and Systems (IROS), 2022.

Pseudo-label Guided Cross-video Pixel Contrast for Robotic SurgicalScene Segmentation with Limited Annotations.
Yang YU, Zixu Zhao, Yueming Jin, Guangyong Chen, Qi Dou, Pheng-Ann Heng.
International Conference on Intelligent Robots and Systems (IROS), 2022.

SESR: Self-Ensembling Sim-to-Real Instance Segmentation for Auto-Store Bin Picking.
Biqi Yang, Xiaojie Gao, Kai Chen, Rui Cao, Yidan Feng, Xianzhi Li, Qi Dou, Chi-Wing Fu, Yun-Hui Liu, Pheng-Ann Heng.
International Conference on Intelligent Robots and Systems (IROS), 2022.

A Unified Monocular Camera-Based and Pattern-Free Hand-to-Eye Calibration Algorithm for Surgical Robots With RCM Constraints.
Bo Lu, Bin Li, Qi Dou, Yun-Hui Liu.
IEEE/ASME Transactions on Mechatronics, 2022.

Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution.
Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin.
Computer Vision and Pattern Recognition Conference (CVPR), 2022.

Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario.
Yonghao Long, Jianfeng Cao, Anton Deguet, Russell H. Taylor, Qi Dou.
International Symposium on Medical Robotics (ISMR), 2022. (Oral)

Autonomous Environment-adaptive Microrobot Swarm Navigation Enabled by Deep Learning-based Real-time Distribution Planning.
Lidong Yang, Jialin Jiang, Xiaojie Gao, Qinglong Wang, Qi Dou, Li Zhang.
Nature Machine Intelligence, 2022.

Federated Learning from Only Unlabelled Data with Class-conditional-sharing Clients.
Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama.
International Conference on Learning Representations (ICLR), 2022.

3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery.
Bin Li, Ruofeng Wei, Jiaqi Xu, Bo Lu, Chi-Hang Yee, Chi-Fai Ng, Pheng-Ann Heng, Qi Dou, Yun-Hui Liu
International Conference on Robotics and Automation (ICRA), 2022.

A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking.
Xianzhi Li, Rui Cao, Yidan Feng, Kai Chen, Biqi Yang, Chi-Wing Fu, Yichuan Li, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng.
International Conference on Robotics and Automation (ICRA), 2022.

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking.
Yidan Feng, Biqi Yang, Xianzhi Li, Chi-Wing Fu, Rui Cao, Kai Chen, Qi Dou, Mingqiang Wei, Yun-Hui Liu, Pheng-Ann Heng.
International Conference on Robotics and Automation (ICRA), 2022.

Toward Image-guided Automated Suture Grasping under Complex Environments: A Learning-enabled and Optimization-based Holistic Framework.
Bo Lu, Bin Li, Wei Chen, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng, Yun-Hui Liu.
IEEE Transactions on Automation Science and Engineering (TASE), 2022.

Unsupervised Feature Disentanglement for Video Retrieval in Minimally Invasive Surgery. [code]
Ziyi Wang, Bo Lu, Xiaojie Gao, Yueming Jin, Zerui Wang, Tak Hong Cheung, Pheng-Ann Heng, Qi Dou, Yun-Hui Liu.
Medical Image Analysis (MedIA), 2022.

Rapid Model Transfer for Medical Image Segmentation via Iterative Human-in-the-loop Update: from Labelled Public to Unlabelled Clinical Datasets for Multi-organ Segmentation in CT
Wenao Ma, Shuang Zheng, Lei Zhang, Huimao Zhang, Qi Dou.
IEEE International Symposium on Biomedical Imaging (ISBI), 2022.

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. [code]
Meirui Jiang*, Zirui Wang*, Qi Dou.
AAAI Conference on Artificial Intelligence (AAAI), 2022.
(Graduate Student Scholarship)

Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary.
Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng.
AAAI Conference on Artificial Intelligence (AAAI), 2022.

Deep Learning for Detecting Midline Shift on Brain CT: A Retrospective Validation Study Using Multinational Data and Quantitative Measurements.
Jiaqi Xu, Richard Du, Calvin Mak, Jill Abrigo, Efstratios Tsougenis, Joyce Chan, Qi Dou, Pheng-Ann Heng.
European Congress of Radiology (ECR), 2022. (work in collaboration with HK Hospital Authority AI Lab)

Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training.
Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2022.

2021 (30)

Stereo Dense Scene Reconstruction and Accurate Laparoscope Localization for Learning-Based Navigation in Robot-Assisted Surgery.
Ruofeng Wei, Bin Li, Hangjie Mo, Bo Lu, Yonghao Long, Bohan Yang, Qi Dou, Yun-Hui Liu, Dong Sun.
arXiv preprint arXiv:2110.03912

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
Martin Wagner and Beat-Peter Muller-Stich et al. for challenge summary report.
arXiv preprint arXiv:2109.14956

Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. [project] [CUHK-JHU Multi-Center Peg Transfer (CUHK-JHU MCPet) Dataset]
Yonghao Long, Jieying Wu, Bo Lu, Yueming Jin, Mathias Unberath, Yun-Hui Liu, Pheng-Ann Heng, Qi Dou.
International Conference on Robotics and Automation (ICRA), 2021.
(IEEE ICRA 2021 Best Paper Award in Medical Robotics)

Toward Image-Guided Automated Suture Grasping Under Complex Environments: A Learning-Enabled and Optimization-Based Holistic Framework.
Bo Lu, Bin Li, Wei Chen, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng, Yun-Hui Liu.
IEEE Transactions on Automation Science and Engineering (TASE), 2021.

E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception.
Yonghao Long*, Zhaoshuo Li*, Chi Hang Yee, Chi Fai Ng, Russell H. Taylor, Mathias Unberath, Qi Dou.
Medical Image Computing and Computer Assisted Interventions 2021 (MICCAI), 2021.

SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation. [project]
Kai Chen, Qi Dou.
International Conference on Computer Vision (ICCV), 2021. (Oral)

Anchor-guided Online Meta Adaptation for Fast One-Shot Instrument Segmentation from Robotic Surgical Videos.
Zixu Zhao, Yueming Jin, Junming Chen, Bo Lu, Chi-Fai Ng, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2021.

Semi-supervised Learning with Progressive Unlabeled Data Excavation for Label-efficient Surgical Workflow Recognition.
Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2021.

SurRoL: An Open-source RL Centered and dVRK Compatible Platform for Surgical Robot Learning.
Jiaqi Xu*, Bin Li*, Bo Lu, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng. [code]
International Conference on Intelligent Robots and Systems (IROS), 2021.
(Included in dVRK Software Ecosystem as a community open-source ML tool)

Learning with Privileged Multimodal Knowledge for Unimodal Segmentation. [code]
Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2021.

Accurate Instance Segmentation of Surgical Instruments in Robotic Surgery: Model Refinement and Cross-dataset Evaluation.
Xiaowen Kong, Yueming Jin, Qi Dou, Ziyi Wang, Zerui Wang, Bo Lu, Erbao Dong, Yun-Hui Liu, Dong Sun.
International Journal of Computer Assisted Radiology and Surgery (IJCAS), 2021.

Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks. [project]
Jiaze Wang*, Kai Chen*, Qi Dou.
International Conference on Intelligent Robots and Systems (IROS), 2021.

Accurate Grid Keypoint Learning for Efficient Video Prediction.
Xiaojie Gao, Yueming Jin, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng.
International Conference on Intelligent Robots and Systems (IROS), 2021.

Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment.
Xueying Shi, Yueming Jin, Qi Dou, Jing Qin, Pheng-Ann Heng.
International Conference on Intelligent Robots and Systems (IROS), 2021.

Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer. [code]
Xiaojie Gao, Yueming Jin, Yonghao Long, Qi Dou, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Interventions 2021 (MICCAI), 2021. (Oral)

Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. [code]
Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Interventions 2021 (MICCAI), 2021.
(Student Travel Award)

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. [code]
Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Interventions 2021 (MICCAI), 2021.

MIcro-Surgical Anastomose Workflow Recognition Challenge Report.
Arnaud Huaulme, Duygu Sarikaya, Kevin Le Mut, Fabien Despinoy, Yonghao Long, Qi Dou, Chin-Boon Chng, Wenjun Lin, Satoshi Kondo, Laura Bravo-Sanchez, Pablo Arbelaez, Wolfgang Reiter, Manoru Mitsuishi, Kanako Harada, Pierre Jannin.
arXiv preprint arXiv:2103.13111.

Future Frame Prediction for Robot-assisted Surgery.
Xiaojie Gao, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng.
International Conference on Information Processing in Medical Imaging (IPMI), 2021.
(Oral)

Temporal Memory Relation Network for Workflow Recognition from Surgical Video. [code]
Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2021.

FedDG: Federated Domain Generalization on Medical Image Segmentationvia Episodic Learning in
Continuous Frequency Space. [code]
Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Federated Deep Learning for Detecting COVID-19 Lung Abnormalities in CT: A Privacy-preserving
Multinational Validation Study. [code] [press media]
Qi Dou, Tiffany Y So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon CH Yu, Pheng-Ann Heng.
npj Digital Medicine, Nature Publishing Group, 2021.

Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation.
Caizi Li, Li Dong, Qi Dou, Fan Lin, Kebao Zhang, Zuxin Feng, Weixin Si, Xuesong Deng, Zhe Deng, Pheng-Ann Heng.
IEEE Journal of Biomedical and Health Informatics (JBHI), 2021.

Data-driven Holistic Framework for Automated Laparoscope Optimal View Control with
Learning-based Depth Perception.
Bin Li, Bo Lu, Yiang Lu, Qi Dou, Yun-Hui Liu.
International Conference on Robotics and Automation (ICRA), 2021.

One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Videos.
Zixu Zhao, Yueming Jin, Bo Lu, Chi-Fai Ng, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng.
International Conference on Robotics and Automation (ICRA), 2021.

Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study.
Hongbin Lin, Qian Gao, Xiangyu Chu, Qi Dou, Anton Deguet, Peter Kazanzides, K. W. Samuel Au.
IEEE Robotics and Automation Letters (RA-L) and ICRA 2021.

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.
Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou. [code]
International Conference on Learning Representations (ICLR), 2021.
(Included in popular FL platform Flower, FedBN simple implementation in PyTorch, see here)

Edge-Aware Pyramidal Deformable Network for Unsupervised Registration of Brain MR Images.
Yiqin Cao, Zhenyu Zhu, Yi Rao, Chenchen Qin, Di Lin, Qi Dou, Dong Ni, Yi Wang.
Frontiers in Neuroscience, 2021.

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
Yue Sun and Li Wang et al. for challenge summary report.
IEEE Transactions on Medical Imaging (TMI), 2021.

Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods-A Critical Review of Literature.
Chen-Yi Xie, Chun-Lap Pang, Benjamin Chan, Emily Yuen-Yuen Wong, Qi Dou, Varut Vardhanabhuti.
Cancers, 2021.

2020 (19)

Contrastive Cross-Site Learning with Redesigned Net for COVID-19 CT Classification. [code]
Zhao Wang, Quande Liu, Qi Dou.
IEEE Journal of Biomedical and Health Informatics (JBHI), 2020.

Joint Affine and Deformable 3D Networks for Brain MRI Registration.
Zhenyu Zhu, Yiqin Cao, Chenchen Qin, Yi Rao, Lin Di, Qi Dou , Dong Ni, Yi Wang.
Medical Physics, 2020.

Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation.
Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains.
Quande Liu, Qi Dou, Pheng-Ann Heng. [code] [multi-site data]
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks.
Robert Robinson, Qi Dou , Daniel C. Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker [code]
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video.
Zixu Zhao, Yueming Jin, Xiaojie Gao, Qi Dou, Pheng-Ann Heng. [code]
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises.
Bo Lu, Wei Chen, Yueming Jin, Dandan Zhang, Qi Dou, Henry K Chu, Pheng-Ann Heng, Yun-Hui Liu.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.

Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model. [code]
Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2020.

LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition. [code]
Xueying Shi*, Yueming Jin*, Qi Dou, Pheng-Ann Heng.
International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), 2020.

(Oral)

Harmonizing Transferability and Discriminability for Adapting Object Detectors. [code]
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data.
Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng. [code]
IEEE Transactions on Medical Imaging (TMI), 2020.

Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search.
Xiaojie Gao, Yueming Jin, Qi Dou, Pheng-Ann Heng.
International Conference on Robotics and Automation (ICRA), 2020.

Unpaired Multi-modal Segmentation via Knowledge Distillation. [code]
Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker.
IEEE Transactions on Medical Imaging (TMI), 2020.

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and
Feature Alignment for Medical Image Segmentation. [code]
Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2020.

3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation.
Yijie Huang, Qi Dou, Zixian Wang, Lizhi Liu, Ying Jin, Chaofeng Li, Lisheng Wang, Hao Chen, Ruihua Xu.
IEEE Transactions on Cybernetics, 2020

An Encoder-Decoder Neural Network with 3D Squeeze-and-Excitation and Deep Supervision
for Brain Tumor Segmentation.
Ping Liu, Qi Dou, Qiong Wang, Pheng-Ann Heng.
IEEE Access, 2020.

Multi-task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis.
Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng. [code]
Medical Image Analysis (MedIA), 2020.

Automatic Lesion Detection with Three-dimensional Convolutional Neural Networks.
Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng.
Biomedical Information Technology, Book Chapter, 2020.

Deep Multilevel Contextual Networks for Biomedical Image Segmentation.
Hao Chen, Qi Dou, Xiaojuan Qi, Jie-Zhi Cheng, Pheng-Ann Heng.
Handbook of Medical Image Computing and Computer Assisted Intervention, Book Chapter, 2020.

2019 (21)

Domain Generalization via Model-Agnostic Learning of Semantic Features. [code] [poster]
Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas, Ben Glocker.
Advances in Neural Information Processing Systems (NeurIPS), 2019.

(Student Travel Award)

Machine Learning with Multi-site Imaging Data: An Empirical Study on the Impact of Scanner Effects.
Ben Glocker, Robert Robinson, Daniel C Castro, Qi Dou, Ender Konukoglu.
Medical Imaging Meets NeurIPS Workshop, 2019.

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion.
Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

(Postgraduate Student Travel Award)

IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation.
Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video. [code]
Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
(Oral)

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis.
Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels.
Martin Zlocha, Qi Dou, Ben Glocker. [educational game]
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

(Undergraduate Student Travel Award)

A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network.
Zhiyu Liu, Wenhao Jiang, Kit-Hang Lee, Yat-Long Lo, Yui-Lun Ng, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok.
MICCAI Workshop on Artificial Intelligence in Radiation Therapy, 2019.

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis.
Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng.
MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), 2019.

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at
Cross-modality Cardiac Segmentation. [code] [data]
Qi Dou*, Cheng Ouyang*, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng.
IEEE Access, 2019.

Multi-Task Deep Model with Margin Ranking Loss for Lung Nodule Analysis.
Lihao Liu, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2019.

Webthetics: Quantifying Webpage Aesthetics with Deep Learning.
Qi Dou, Xian-Jun Zheng, Tong-Fang Sun, Pheng-Ann Heng.
International Journal of Human-Computer Studies (IJHCS), 2019.

Weakly Supervised 3D Deep Learning for Breast Cancer Classification and Localization of the Lesions in MR Images.
Juan Zhou, Luyang Luo, Qi Dou, Hao Chen, Cheng Chen, Gongjie Li, Zefei Jiang, Pheng-Ann Heng.
Journal of Magnetic Resonance Imaging (JMRI), 2019.

Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.
Li Lin*, Qi Dou*, Yueming Jin, Guanqun Zhou, Pheng-Ann Heng, Joseph TS Wee, Melvin LK Chua, Hao Chen, Ying Sun, et al.
Radiology, 2019.

(ESI Highly Cited Paper)

CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation.
Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng.
Information Processing in Medical Imaging (IPMI), 2019.

MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images.
Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David Snead, Yee Wah Tsang, Nasir Rajpoot.
Medical Image Analysis (MedIA), 2019.

Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification.
Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng.
IEEE International Symposium on Biomedical Imaging (ISBI), 2019.

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng.
IEEE Transactions on Cybernetics (TCYB), 2019.

Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection.
Huangjing Lin, Hao Chen, Simon Graham, Qi Dou, Nasir Rajpoot, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2019.

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning.
Qi Dou, Cheng Chen, Cheng Ouyang, Hao Chen, Pheng-Ann Heng.
Deep Learning and Convolutional Neural Networks for Medical, Book Chapter, 2019.

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. [code]
Cheng Chen, Qi Dou, Hao Chen, Jing Qin, and Pheng-Ann Heng.
Association for the Advancement of Artificial Intelligence (AAAI), 2019.
(Oral)

2018 (12)

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. [code] [data]
Qi Dou*, Cheng Ouyang*, Cheng Chen, Hao Chen, Pheng-Ann Heng.
International Joint Conference on Artificial Intelligence (IJCAI), 2018.
(Oral)

Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation.
Cheng Chen, Qi Dou, Hao Chen, and Pheng-Ann Heng.
MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), 2018.
(Oral)

SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network.
Yueming Jin*, Qi Dou*, Hao Chen, Lequan Yu, Jing Qin, Chi Wing Fu, Pheng-Ann Heng. [code]
IEEE Transactions on Medical Imaging (TMI), 2018.

VoxResNet: Deep Voxelwise Residual Networks for Brain Segmentation from 3D MR Images.
Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Pheng-Ann Heng.
NeuroImage, 2018.
(ESI Highly Cited Paper)

MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis.
Lihao Liu, Qi Dou, Hao Chen, Iyiola E Olatunji, Jing Qin, Pheng-Ann Heng.
MICCAI workshop on Deep Learning for Medical Image Analysis (DLMIA), 2018.

H-denseunet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes.
Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2018.
(ESI Highly Cited Paper)

HL-FCN: Hybrid Loss Guided FCN for Colorectal Cancer Segmentation.
Yijie Huang, Qi Dou, Zixian Wang, Lizhi Liu, Lisheng Wang, Hao Chen, Pheng-Ann Heng, Ruihua Xu
. IEEE International Symposium on Biomedical Imaging (ISBI), 2018.

3D Multi-scale FCN with Random Modality Voxel Dropout Learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Xiaojuan Qi, Daniel L Belavy, Gabriele Armbrecht, Dieter Felsenberg, Guoyan Zheng, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2018.

Weakly Supervised Learning for Whole Slide Lung Cancer Image Classification.
Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Qitao Huang, Muyan Cai, Pheng-Ann Heng.
Medical Imaging with Deep Learning (MIDL), 2018.
(Oral)

Deep Convolutional Networks for Automated Volumetric Cardiovascular Image Segmentation: From a Design Perspective.
Xin Yang, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng.
Cardiovascular Imaging: An Engineering and Clinical Perspective, Book Chapter, 2018

ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image.
Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng.
Winter Conference on Applications of Computer Vision (WACV), 2018.

SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction.
Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng.
Association for the Advancement of Artificial Intelligence (AAAI), 2018.
(Spotlight)

2017 (11)

3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images.
Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2017.
(Elsevier MedIA-MICCAI'17 Best Paper Award, ESI Highly Cited Paper)

Integrating Online and Offline Three-dimensional Deep Learning for Automated Polyp Detection
in Colonoscopy Videos.
Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng.
IEEE Journal of Biomedical and Health Informatics (JBHI), 2017.

Automated Pulmonary Nodule Detection via 3D Convnets with Online Sample Filtering and
Hybrid-loss Residual Learning.
Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017.

Automatic 3D Cardiovascular MR Segmentation with Densely-connected Volumetric Convnets.
Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017.

Multilevel Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng-Ann Heng.
IEEE Transactions on Biomedical Engineering (TBME), 2017.
(IEEE EMBS Best Paper Award 2nd Place of Trans. on Biomedical Engineering, ESI Highly Cited Paper)

Ultrasound Standard Plane Detection using a Composite Neural Network Framework.
Hao Chen, Lingyun Wu, Qi Dou, Jing Qin, Shengli Li, Jie-Zhi Cheng, Dong Ni, Pheng-Ann Heng.
IEEE Transactions on Cybernetics (TCYB), 2017.

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks.
Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2017.
(ESI Highly Cited Paper)

DCAN: Deep Contour-aware Networks for Object Instance Segmentation from Histology Images.
Hao Chen, Xiaojuan Qi, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2017.
(ESI Highly Cited Paper)

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in
Women with Breast Cancer.
Babak Ehteshami Bejnordi et al.
JAMA, 2017. (Challenge summary article)
(ESI Highly Cited Paper)

Evaluation and Comparison of 3D Intervertebral Disc Localization and Segmentation Methods for 3D T2 MR Data: A Grand Challenge.
Guoyan Zheng, Chengwen Chu, Daniel L Belavy, Judith Meakin, Ben Glocker, Hao Chen, Qi Dou, Pheng-Ann Heng, Chunliang Wang, Dieter Felsenberg, Shuo Li, et al.
Medical Image Analysis (MedIA), 2017. (Challenge summary article)

Validation, Comparison, and Combination of Algorithms for Automatic Detection of Pulmonary Nodules in Computed Tomography Images: the LUNA16 Challenge.
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas De Bel, Moira SN Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Bram van Ginneken, et al.
Medical Image Analysis (MedIA), 2017. (Challenge summary article)
(ESI Highly Cited Paper)

2016 (5)

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes.
Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.
(Young Scientist Award Finalist 2016, Student Travel Award 2016, MICCAI Young Scientist Impact Award Finalist 2021)

Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks. [code & data]
Qi Dou*, Hao Chen*, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent Mok, Lin Shi, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2016.
(ESI Highly Cited Paper)

3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation.
Hao Chen*, Qi Dou*, Xi Wang, Jing Qin, Jack CY Cheng, Pheng-Ann Heng.
Medical Imaging and Augmented Reality (MIAR), 2016.

(Best Paper Award)

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images.
Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Lin Shi, Pheng-Ann Heng, et. al.
Deep Learning for Medical Image Analysis, Book Chapter, 2016.

Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks.
Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng.
Association for the Advancement of Artificial Intelligence (AAAI), 2016.
(Oral)

2015 (4)

Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks.
Hao Chen, Qi Dou, Dong Ni, Jie-Zhi Cheng, Jing Qin, Shengli Li, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015.

(MICCAI Young Scientist Impact Award 2019)

Automatic Cerebral Microbleeds Detection from MR Images via Independent Subspace Analysis
Based Hierarchical Features.

(Oral)

Qi Dou, Hao Chen, Lequan Yu, Lin Shi, Defeng Wang, Vincent CT Mok, Pheng-Ann Heng.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015.

Automatic Detection of Cerebral Microbleeds via Deep Learning Based 3D Feature Representation.
Hao Chen, Lequan Yu, Qi Dou, Lin Shi, Vincent CT Mok, Pheng-Ann Heng.
EEE International Symposium on Biomedical Imaging (ISBI), 2015.
(Oral)

Automatic Brain Tumor Segmentation from MR Images via a Multimodal Sparse Coding Based Probabilistic Model.
Yuhong Li, Qi Dou, Jinze Yu, Fucang Jia, Jing Qin, Pheng-Ann Heng.
International Workshop on Pattern Recognition in NeuroImaging (PRNI), 2015.
(Oral)

SimEndoGS: Efficient Data-driven Scene Simulation using Robotic Surgery Videos via
Physics-embedded 3D Gaussians.
Zhenya Yang, Kai Chen, Yonghao Long, Qi Dou.
arXiv preprint arXiv:2405.00956.

GMM-based Heuristic Decision Framework for Safe Automated Laparoscope Control.
Bin Li, Yiang Lu, Wei Chen, Bo Lu, Fangxun Zhong, Qi Dou, Yun-Hui Liu.
IEEE Robotics and Automation Letters (IEEE RA-L), 2024.

Efficient EndoNeRF reconstruction and its application for data-driven surgical simulation.
Yuehao Wang, Bingchen Gong, Yonghao Long, Siu Hin Fan, Qi Dou. [code]
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2024.
(IJCARS-MICCAI 2022 Best Paper Award 3rd Prize)

Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study.
Jianfeng Cao, Hon-Chi Yip, Yueyao Chen, Markus Scheppach, Xiaobei Luo, Hongzheng Yang, Ming Kit Cheng, Yonghao Long, Yueming Jin, Philip Wai-Yan Chiu, Yeung Yam, Helen Mei-Ling Meng, Qi Dou.
Nature Communications, 2023.

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery.
Yuehao Wang, Yonghao Long, Siu Hin Fan, Qi Dou. [EndoNeRF code]
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022.
(Young Scientist Publication Award, Student Travel Award, Early accept)

Trans-SVNet: Hybrid Embedding Aggregation Transformer for Surgical Workflow Analysis. [code]
Yueming Jin, Yonghao Long, Xiaojie Gao, Danail Stoyanov, Qi Dou, Pheng-Ann Heng.
International Journal for Computer Assisted Radiology and Surgery (IJCARS), 2022.
(IJCARS-MICCAI 2021 Best Paper Award 1st Prize)

AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy.
Ziyi Wang, Bo Lu, Yonghao Long, Fangxun Zhong, Tak Hong Cheung, Qi Dou, Yun-Hui Liu. [released data]
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022.

SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation. [project]
Kai Chen, Qi Dou.
International Conference on Computer Vision (ICCV), 2021. (Oral)

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in
Continuous Frequency Space. [code]
Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Federated Deep Learning for Detecting COVID-19 Lung Abnormalities in CT: A Privacy-preserving Multinational Validation Study. [code] [press media]
Qi Dou, Tiffany Y So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon Yu, Pheng-Ann Heng.
npj Digital Medicine, Nature Publishing Group, 2021.

Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains.
Quande Liu, Qi Dou, Pheng-Ann Heng. [code] [multi-site prostate MRI data]
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

Unpaired Multi-modal Segmentation via Knowledge Distillation. [code]
Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker.
IEEE Transactions on Medical Imaging (TMI), 2020.

Domain Generalization via Model-Agnostic Learning of Semantic Features. [code]
Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas, Ben Glocker.
Neural Information Processing Systems (NeurIPS), 2019.

(Student Travel Award)

Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels.
Martin Zlocha, Qi Dou, Ben Glocker. [educational game]
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

(Undergraduate Student Travel Award)

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. [code] [data]
Qi Dou*, Cheng Ouyang*, Cheng Chen, Hao Chen, and Pheng-Ann Heng.
International Joint Conference on Artificial Intelligence (IJCAI), 2018.
(Oral)

SV-RCNet: Workflow Recognition from Surgical Videos Using Recurrent Convolutional Network.
Yueming Jin*, Qi Dou*, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng. [code]
IEEE Transactions on Medical Imaging (TMI), 2018.

Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng-Ann Heng.
IEEE Transactions on Biomedical Engineering (TBME), 2017.
(IEEE EMBS Best Paper Award 2nd Place of Trans. on Biomedical Engineering, ESI Highly Cited Paper)

Automatic Detection of Cerebral Microbleeds from MR Images via
3D Convolutional Neural Networks.
Qi Dou*, Hao Chen*, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent CT Mok,
Lin Shi, Pheng-Ann Heng. [code & data]
IEEE Transactions on Medical Imaging (TMI), 2016.

(ESI Highly Cited Paper)

Domain Generalization of Deep Networks for Medical Image Segmentation via Meta Learning
Quande Liu, Qi Dou, Cheng Chen, Pheng-Ann Heng.
Meta-Learning with Medical Imaging and Health Informatics Applications, edited by Hien Van Nguyen, Ronald Summers, Rama Chellappa, 2023.

Automatic Lesion Detection with Three-dimensional Convolutional Neural Networks
Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng.
Biomedical Information Technology (Second Edition), edited by David Dagan Feng, 2020.

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentations via Adversarial Learning.
Qi Dou, Cheng Chen, Cheng Ouyang, Hao Chen, Pheng-Ann Heng.
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, edited by Le Lu,
Xiaosong Wang, Gustavo Carneiro, Lin Yang, 2019.