Qi DOU

Cituota

	Visi	Nuo 2020
Šaltiniai	29751	26185
h-rodyklė	70	67
i10-rodyklė	160	159

8000

4000

2000

6000

201720182019202020212022202320242025372 962 1981 2861 4055 4811 6095 7142 1190

Viešas pasiekiamumas

Peržiūrėti viską

148 straipsniai

29 straipsniai

pasiekiami

nepasiekiami

Pagal finansavimo įpareigojimus

Bendraautoriai

Pheng Ann HengChoh-Ming Li Professor of Computer Science and Engineering, The Chinese University of Hong KongPatvirtintas el. paštas cse.cuhk.edu.hk
Hao ChenAssistant Professor, The Hong Kong University of Science and TechnologyPatvirtintas el. paštas cse.ust.hk
Yueming JinAssistant Professor, National University of SingaporePatvirtintas el. paštas nus.edu.sg
Lequan YuAssistant Professor, The University of Hong KongPatvirtintas el. paštas hku.hk
Meirui JiangThe Chinese University of Hong KongPatvirtintas el. paštas cse.cuhk.edu.hk
Yun-hui LiuChoh-Ming Li Professor at The Chinese University of Hong KongPatvirtintas el. paštas mae.cuhk.edu.hk
Yonghao LongThe Chinese University of Hong KongPatvirtintas el. paštas cse.cuhk.edu.hk
Chi-Wing Fu, PhilipThe Chinese University of Hong KongPatvirtintas el. paštas cse.cuhk.edu.hk
Kai CHENThe Chinese University of Hong KongPatvirtintas el. paštas cse.cuhk.edu.hk
Ben GlockerImperial College LondonPatvirtintas el. paštas imperial.ac.uk
Xiaoxiao LiAssistant Professor, UBC; Vector Institute; CIFAR AI Chair; Canada Research ChairPatvirtintas el. paštas ece.ubc.ca
Xiaojuan QiAssistant Professor, The University of Hong KongPatvirtintas el. paštas eee.hku.hk
Ka-Wai KwokProfessor at The Chinese University of Hong KongPatvirtintas el. paštas mae.cuhk.edu.hk
Daniel RueckertTechnical University of Munich and Imperial College LondonPatvirtintas el. paštas tum.de
Pieter AbbeelUC Berkeley | CovariantPatvirtintas el. paštas cs.berkeley.edu
Cheng ChenAssistant Professor, The University of Hong KongPatvirtintas el. paštas eee.hku.hk
Pierre JanninMediCIS, LTSI, Inserm, Université de RennesPatvirtintas el. paštas univ-rennes1.fr
Shaoting ZhangShanghai AI Lab; SenseTime ResearchPatvirtintas el. paštas pjlab.org.cn
Russell H. TaylorJohn C. Malone Professor of Computer Science, Johns Hopkins UniversityPatvirtintas el. paštas jhu.edu
Anthony Chi-Fai NgTzu Leung Ho Professor of Urology, SH Ho Urology Centre, Division of Urology, The Chinese UniversityPatvirtintas el. paštas surgery.cuhk.edu.hk

Stebėti

Qi DOU

Assistant Professor, The Chinese University of Hong Kong

Patvirtintas el. paštas cse.cuhk.edu.hk - Pagrindinis puslapis

Medical Image Analysis Machine Learning Surgical Data Science Robotics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	3361	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	2565	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	1387	2023
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	1278	2017
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	1218	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	998	2018
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	987	2021
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	809	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	801	2019
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	678	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	668	2017
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	544	2017
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	539	2021
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	445	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	395	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	390	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	384	2019
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	352	2019
Harmonizing Transferability and Discriminability for Adapting Object Detectors C Chen, Z Zheng, X Ding, Y Huang, Q Dou CVPR 2020, 2020	343	2020
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	339	2018

Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.

Straipsniai 1–20

Šaltinių per metus

Dubliuoti šaltiniai

Sujungti šaltiniai

Pridėti bendraautoriusBendraautoriai

Stebėti

Cituota

Bendraautoriai