Qi DOU

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Citations	21048	20468
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Pheng Ann HengProfessor, Computer Science & Engineering, Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Hao ChenAssistant Professor, The Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
Yueming JinAssistant Professor, National University of SingaporeVerified email at nus.edu.sg
Lequan YuAssistant Professor, The University of Hong KongVerified email at hku.hk
Quande LiuPhD at CUHKVerified email at tencent.com
Chi-Wing Fu, PhilipThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Meirui JiangThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Ben GlockerImperial College LondonVerified email at imperial.ac.uk
Yonghao LongThe 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
Kai CHENThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Xiaoxiao LiAssistant Professor, University of British Columbia; Faculty Member, Vector InstituteVerified email at ece.ubc.ca
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of OxfordVerified email at eng.ox.ac.uk
Vince Varut VardhanabhutiClinical Assistant Professor, Department of Diagnostic Radiology, Li Ka Shing Faculty of MedicineVerified email at hku.hk
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
Ka-Wai KwokThe University of Hong KongVerified email at hku.hk
Wenao MaThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
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 ChenHarvard Medical School, Massachusetts General HospitalVerified email at mgh.harvard.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	2616	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	1820	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	1016	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	948	2017
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	803	2023
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	743	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	738	2018
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	620	2016
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	619	2019
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	563	2017
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	521	2021
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	459	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	401	2016
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	306	2019
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Q Liu, C Chen, J Qin, Q Dou, PA Heng CVPR 2021, 2021	293	2021
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	288	2018
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	283	2016
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	274	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	270	2020
Weakly supervised deep learning for whole slide lung cancer image analysis X Wang, H Chen, C Gan, H Lin, Q Dou, E Tsougenis, Q Huang, M Cai, ... IEEE transactions on cybernetics 50 (9), 3950-3962, 2019	247	2019

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