Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20