Qi DOU
Qi DOU
Assistant Professor, The Chinese University of Hong Kong
在 cse.cuhk.edu.hk 的电子邮件经过验证 - 首页
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年份
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
11502017
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
5952018
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
4742016
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
4652016
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
4112018
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
4092017
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
3492016
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
3122017
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
2552017
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
2392016
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
1892016
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
1682019
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, 507-514, 2015
146*2015
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
1172018
Integrating online and offline three-dimensional deep learning for automated polyp detection in colonoscopy videos
L Yu, H Chen, Q Dou, J Qin, PA Heng
IEEE journal of biomedical and health informatics 21 (1), 65-75, 2016
1152016
Voxresnet: Deep voxelwise residual networks for volumetric brain segmentation
H Chen, Q Dou, L Yu, PA Heng
arXiv preprint arXiv:1608.05895, 2016
1102016
Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets
L Yu, JZ Cheng, Q Dou, X Yang, H Chen, J Qin, PA Heng
International conference on medical image computing and computer-assisted …, 2017
1022017
Automated pulmonary nodule detection via 3d convnets with online sample filtering and hybrid-loss residual learning
Q Dou, H Chen, Y Jin, H Lin, J Qin, PA Heng
International conference on medical image computing and computer-assisted …, 2017
1012017
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
992019
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
91*2017
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