Qi Dou


Assistant Professor
Department of Computer Science and Engineering
(co-affiliated with) T Stone Robotics Institute
The Chinese University of Hong Kong

Office: Rm 1014, Ho Sin-Hang Engineering Building, CUHK, Shatin, HK
Email:


Research Interest

Opening: I am actively looking for PhD/Mphil/Postdoc/RA/Interns to work on ML for medical image analysis and robotic surgery.

Postdoc/RA positions (immediately available): image registration, point cloud, medical image analysis.

2022Fall PhD/Mphil topics: medical image analysis (generalizability, interpretability, large-scale validation), robotic surgery (3D visual perception, reinforcement learning for robotic task automation, augmented/virtual reality).
Our Early Admission Scheme for M.Phil. and Ph.D. Programme 2022-2023 Intake is open now! Drop me an email if interested!

News

Publications (show selected / full list / book chapters)

2021 (19)

Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks.
Jiaze Wang*, Kai Chen*, Qi Dou.
International Conference on Intelligent Robots and Systems (IROS), 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.
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.
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception.
Yonghao Long*, Zhaoshuo Li*, Chi Hang Yee, Chi Fai Ng, Russ Taylor, Mathias Unberath, Qi Dou.
Medical Image Computing and Computer Assisted Interventions 2021 (MICCAI), 2021.
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer.
Xiaojie Gao, Yueming Jin, Yonghao Long, Qi Dou, Pheng Ann Heng.
Medical Image Computing and Computer Assisted Interventions 2021 (MICCAI), 2021.
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching.
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.
Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng Ann Heng.
Medical Image Computing and Computer Assisted Interventions 2021 (MICCAI), 2021.
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery.
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.

(Best Paper Award in Medical Robotics)

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.
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.

Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng Ann Heng. [code]
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.

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*. [code]
npj Digital Medicine, Nature Publishing Group, 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, and 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.
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.

2020 (19)

Contrastive Cross-Site Learning with Redesigned Net for COVID-19 CT Classification.
Zhao Wang, Quande Liu, Qi Dou. [code]
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.
R Robinson, Q Dou , DC Castro, K Kamnitsas, M de Groot, RM Summers, D Rueckert, B Glocker.
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.
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.
Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng Ann Heng. [code]
IEEE Transactions on Medical Imaging (TMI), 2020.
LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition.
Xueying Shi*, Yueming Jin*, Qi Dou, Pheng Ann Heng. [code]
International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), 2020.
Harmonizing Transferability and Discriminability for Adapting Object Detectors.
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou. [code]
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data. [code]
Quande Liu, Qi Dou, Lequan Yu, Pheng Ann Heng.
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.
Qi Dou, Quande Liu, Pheng Ann Heng, Ben Glocker. [code]
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
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.
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.
Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas, Ben Glocker. [code] [poster]
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.
Yueming Jin, Keyun Cheng, Qi Dou, Pheng Ann Heng. [code]
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.

(Undergraduate Student Travel Award)


Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
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.

Qi Dou*, Cheng Ouyang*, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng Ann Heng. [code] [data]
IEEE Access, 2019. (* indicates equal contribution)
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. (* indicates equal contribution)
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.

Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng Ann Heng [code]
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.

Qi Dou*, Cheng Ouyang*, Cheng Chen, Hao Chen, Pheng Ann Heng. (* indicates equal contribution) [code] [data]
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. (* indicates equal contribution)
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 BelavĂ˝, 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.

(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.

(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.
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)


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, Student Travel Award)


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 Mok, Lin Shi, Pheng Ann Heng. [code & data]
IEEE Transactions on Medical Imaging (TMI), 2016. (* indicates equal contribution)
3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation.
Hao Chen*, Qi Dou*, Xi Wang, Jing Qin, Jack CY Cheng, Pheng Ann Heng. (* indicates equal contribution)
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.

(Young Scientist Impact Award 2019)


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

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.

(Oral)


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)



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.
International Conference on Intelligent Robots and Systems (IROS), 2021.
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception.
Yonghao Long*, Zhaoshuo Li*, Chi Hang Yee, Chi Fai Ng, Russ Taylor, Mathias Unberath, Qi Dou.
Medical Image Computing and Computer Assisted Interventions 2021 (MICCAI), 2021.
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching.
Quande Liu, Hongzheng Yang, Qi Dou, Pheng Ann Heng.
Medical Image Computing and Computer Assisted Interventions 2021 (MICCAI), 2021.

(Student Travel Award)

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

Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng Ann Heng. [code]
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. [website]
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.

(Best Paper Award in Medical Robotics)

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.
Federated Deep Learning for Detecting COVID-19 Lung Abnormalities in CT: A Privacy-preserving Multinational Validation Study.
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*. [code]
npj Digital Medicine, Nature Publishing Group, 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.
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.
Harmonizing Transferability and Discriminability for Adapting Object Detectors.
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou. [code]
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.
Qi Dou, Quande Liu, Pheng Ann Heng, Ben Glocker. [code]
IEEE Transactions on Medical Imaging (TMI), 2020.
Domain Generalization via Model-Agnostic Learning of Semantic Features.
Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas, Ben Glocker. [code]
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. [live demo]
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

(Undergraduate Student Travel Award)


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.

(Graduate Student Travel Award)


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

(Oral)


Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss.
Qi Dou*, Cheng Ouyang*, Cheng Chen, Hao Chen, and Pheng Ann Heng. [code] [data]
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.
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.

(MedIA-MICCAI'17 Best Paper Award)

(ESI Highly Cited Paper)


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.

(The 2nd Place in 2021 IEEE Engineering in Medicine and Biology Prize Paper Award)


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, 2017.

(ESI Highly Cited Paper)


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)


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)


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.
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, edited by S. Kevin Zhou, Daniel Rueckert and Gabor Fichtinger, 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.
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, edited by Ayman El-Baz, Jasjit S. Suri, 2018.
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, edited by Kevin Zhou, Hayit Greenspan, Dinggang Shen, 2016.

Teaching

  • Fall2021: CSCI3230 Fundamentals of Artificial Intelligence (with Elite-Mirror)
  • Spring2021: BMEG3102 Bioinformatics

Selected Awards

  • The 2nd Place in 2021 IEEE Engineering in Medicine and Biology Prize Paper Award
  • Best Paper Award in Medical Robotics at ICRA 2021
  • IEEE TMI Distinguished Reviewer Gold Level
  • Winner of MICCAI MISAW Challenge on Robotic Surgical Workflow Recognition 2020
  • NeurIPS Travel Award 2019
  • CUHK Faculty Outstanding Thesis Award 2018
  • Hong Kong Institution of Science 2018 Young Scientist Award in Engineering Science (one winner per year in HK)
  • Postgraduate Research Output Award 2017 at CUHK (one winner per year in Faculty of Engineering at CUHK)
  • Best Paper Award of Medical Image Analysis-MICCAI 2017 (first-author)
  • Young Scientist Award Runner Up, MICCAI 2016 (first-author)
  • Student Travel Award, MICCAI 2016
  • Best Paper Award of International Doctoral Forum 2016 (first-author)
  • Best Paper Award of International Conference on Medical Imaging and Augmented Reality 2016 (co-first-author)
  • Winner of Challenge on Lung Nodule False Positive Reduction, ISBI 2016 (first-author)
  • Winner of Challenge on Surgical Video Analysis, MICCAI 2016 (co-first-author)
  • Winner of Challenge on Automatic IVD Localization and Segmentation in MR Images, MICCAI 2015&2016
  • Honoured Graduate Award at Beihang University, 2014

Selected Talks

  • The Role of Artificial Intelligence in the Next-generation Robotic Surgery.
  • at Global Healthcare Innovation Academy Hong Kong Local Event, Jun 2021. (invited by Prof. Jing Qin)
    at University of Strasbourg, Mar 2021. (invited by Prof. Nicolas Padoy)
  • Learning Reliable AI Models on Real-world Medical Images: Robustness, Generalization and Privacy.
  • at Technical University Munich, zoom seminar, Jan 2021. (invited by Prof. Daniel Rueckert)
    at Department of Health Technology & Informatics, HKPolyU, Feb 2021. (invited by Prof. Jing Cai)
  • Deep Model Generalization in Medical Image Segmentation [slices]
  • at MICS Webinar, Apr 2020. [video (in Chinese)]
    at VALSE Webinar, May 2020.
    at CVPR Medical Computer Vision Workshop, June 2020. [video (YouTube)]
  • Domain Generalization via Model-Agnostic Learning of Semantic Features
  • at Imperial @ NeurIPS 2019, Nov 2019.
  • Surgical Visual Perception Towards AI-Powered Context-Aware Operating Theaters
  • at MICCAI'19 Workshop of OR 2.0 Context-Aware Operating Theaters, Oct 2019.
    at MediCIS, Universite de Rennes 1, France, Nov 2019.
  • Multimodal Learning from Unpaired Medical Images for Adaptation and Integration
  • at UCL Medical Image Computing Summer School (MedICSS), UK, Jul 2019.
    at UCL/ICL Bio-Imaging Symposium, UK, May 2019.
  • Towards AI-Powered Healthcare: Automated Medical Image Computing via Deep Learning
  • at Department of Computer Science, University of Birmingham, Nov 2019.
    at Department of Computer Science, Sheffield University, May 2019.
    at Department of Computer Science & Engineering, CUHK, Mar 2019.
    at Department of Computer Science & Engineering, HKUST, Feb 2019.
    at Hong Kong Instuition of Science Annual Meeting, HK, Dec 2018.
  • Towards AI-Powered Healthcare: Automated Medical Image Computing via Deep Learning
  • at Hong Kong Instuition of Science Annual Meeting, HK, Dec 2018.
  • Analyzing High Dimensional Medical Images with Deep Learning
  • at Hamlyn Centre for Robotic Surgery, Imperial College London, UK, Feb 2019.
    at Smart Robotics and Artificial Intelligence Workshop organized by Signate Life Sciences, HK, Dec 2018.
  • Deep Learning for AI-Powered Medical Image Analysis in Radiology
  • at Hong Kong College of Radiologists (HKCR) Annual Scientific Meeting, HK, Nov 2018.
    at Engineering Medical Innovation (EMedI) Summit, HK, Aug 2018.
  • Deep Learning for Medical Image Computing
  • at Department of Computing, HKPolyU, HK, Aug 2018.
  • Medical Image Computing via Deep Learning - Detection and Segmentation
  • at BioMedIA lab in Imperial College London, UK, July 2018.
    at German Center for Neurodegenerative Diseases (DZNE), Germany, Jul 2018.
  • Intelligent Medical Image Detection and Segmentaiton via 3D Deep Learning
  • at AI in Healthcare Summit organized by ReWork, HK, June 2018.
  • Deep Learning for Medical Image Analysis: Algorithms and Applications
  • at Department of Clinical Oncology at Queen Mary Hospital HKU, HK, Apr 2018.
  • 3D Convolutional Networks for Computer-aided Lesion Detection in Medical Images
  • at A*Star Institute of High Performance Computing, Singapore, May 2017.
  • Automated Brain Lesion Detection in MRI Scans with Hierarchical Features
  • at Siemens Corporate Research, Princeton, US, Jun 2016.