Qi DOU

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Citations	17448	16977
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Pheng Ann HengProfessor, Computer Science & Engineering, Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Hao Chen, IEEE Senior MemberAssistant Professor, The Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
Lequan YuAssistant Professor, The University of Hong KongVerified email at hku.hk
Yueming JinAssistant Professor, National University of SingaporeVerified email at nus.edu.sg
Quande LiuPhD at CUHKVerified email at tencent.com
Chi-Wing Fu, PhilipThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Ben GlockerImperial College LondonVerified email at imperial.ac.uk
Meirui JiangThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Yun-hui LiuChoh-Ming Li Professor at The Chinese University of Hong KongVerified email at mae.cuhk.edu.hk
Xiaojuan QiAssistant Professor, The University of Hong KongVerified email at eee.hku.hk
Yonghao LongThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of OxfordVerified email at eng.ox.ac.uk
Xiaoxiao LiAssistant Professor, University of British ColumbiaVerified email at ece.ubc.ca
Vince Varut VardhanabhutiClinical Assistant Professor, Department of Diagnostic Radiology, Li Ka Shing Faculty of MedicineVerified email at hku.hk
Kai CHENThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
Anthony Chi-Fai NgTzu Leung Ho Professor of Urology, SH Ho Urology Centre, Division of Urology, The Chinese UniversityVerified email at surgery.cuhk.edu.hk
Cheng ChenMassachusetts General Hospital, Harvard Medical SchoolVerified email at mgh.harvard.edu
Ka-Wai KwokThe University of Hong KongVerified email at hku.hk
Mathias UnberathJohns Hopkins UniversityVerified email at jhu.edu

Qi DOU

Assistant Professor, The Chinese University of Hong Kong

Verified email at cse.cuhk.edu.hk - Homepage

Medical Image Analysis Machine Learning Surgical Data Science Robotics


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Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017	2326	2017
H-DenseUNet: hybrid densely connected UNet for liver and tumor segmentation from CT volumes X Li, H Chen, X Qi, Q Dou, CW Fu, PA Heng IEEE transactions on medical imaging 37 (12), 2663-2674, 2018	1537	2018
Automated melanoma recognition in dermoscopy images via very deep residual networks L Yu, H Chen, Q Dou, J Qin, PA Heng IEEE transactions on medical imaging 36 (4), 994-1004, 2016	921	2016
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge AAA Setio, A Traverso, T De Bel, MSN Berens, C Van Den Bogaard, ... Medical image analysis 42, 1-13, 2017	813	2017
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 ... IEEE Transactions on Medical Imaging 35 (5), 1182-1195, 2016	687	2016
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images H Chen, Q Dou, L Yu, J Qin, PA Heng NeuroImage 170, 446-455, 2018	685	2018
The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023	608	2023
Multilevel contextual 3-D CNNs for false positive reduction in pulmonary nodule detection Q Dou, H Chen, L Yu, J Qin, PA Heng IEEE Transactions on Biomedical Engineering 64 (7), 1558-1567, 2016	571	2016
3D deeply supervised network for automated segmentation of volumetric medical images Q Dou, L Yu, H Chen, Y Jin, X Yang, J Qin, PA Heng Medical image analysis 41, 40-54, 2017	523	2017
Domain generalization via model-agnostic learning of semantic features Q Dou, DC de Castro, K Kamnitsas, B Glocker Advances in Neural Information Processing Systems (NeurIPS), 6447-6458, 2019	497	2019
DCAN: Deep contour-aware networks for object instance segmentation from histology images H Chen, X Qi, L Yu, Q Dou, J Qin, PA Heng Medical image analysis 36, 135-146, 2017	418	2017
3d deeply supervised network for automatic liver segmentation from ct volumes Q Dou, H Chen, Y Jin, L Yu, J Qin, PA Heng International Conference on Medical Image Computing and Computer-Assisted …, 2016	368	2016
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization X Li, M Jiang, X Zhang, M Kamp, Q Dou International Conference on Learning Representations (ICLR), 2021	336	2021
Mitosis detection in breast cancer histology images via deep cascaded networks H Chen, Q Dou, X Wang, J Qin, P Heng Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	262	2016
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss Q Dou, C Ouyang, C Chen, H Chen, PA Heng IJCAI 2018, 691-697, 2018	261	2018
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation C Chen, Q Dou, H Chen, J Qin, PA Heng AAAI 2019, 2019	244	2019
Deep learning for automated contouring of primary tumor volumes by MRI for nasopharyngeal carcinoma L Lin, Q Dou, YM Jin, GQ Zhou, YQ Tang, WL Chen, BA Su, F Liu, CJ Tao, ... Radiology 291 (3), 677-686, 2019	223	2019
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation C Chen, Q Dou, H Chen, J Qin, PA Heng IEEE Transactions on Medical Imaging, 2020	218	2020
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images S Graham, H Chen, J Gamper, Q Dou, PA Heng, D Snead, YW Tsang, ... Medical image analysis 52, 199-211, 2019	214	2019
SV-RCNet: workflow recognition from surgical videos using recurrent convolutional network Y Jin, Q Dou, H Chen, L Yu, J Qin, CW Fu, PA Heng IEEE transactions on medical imaging 37 (5), 1114-1126, 2017	213	2017

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