Hao Chen
Title
Cited by
Cited by
Year
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
11442017
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
5902018
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
515*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
4752016
Automatic detection of cerebral microbleeds from MR images via 3D convolutional neural networks
Q Dou, H Chen, L Yu, L Zhao, J Qin, D Wang, VCT Mok, L Shi, PA Heng
IEEE transactions on medical imaging 35 (5), 1182-1195, 2016
4622016
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
4072017
DCAN: deep contour-aware networks for accurate gland segmentation
H Chen, X Qi, L Yu, PA Heng
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2016
3682016
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
3112017
Gland segmentation in colon histology images: The glas challenge contest
K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ...
Medical image analysis 35, 489-502, 2017
2932017
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
2542017
Standard plane localization in fetal ultrasound via domain transferred deep neural networks
H Chen, D Ni, J Qin, S Li, X Yang, T Wang, PA Heng
IEEE journal of biomedical and health informatics 19 (5), 1627-1636, 2015
2452015
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
2372016
Volumetric ConvNets with mixed residual connections for automated prostate segmentation from 3D MR images
L Yu, X Yang, H Chen, J Qin, PA Heng
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
2252017
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
Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge
J Bernal, N Tajkbaksh, FJ Sánchez, BJ Matuszewski, H Chen, L Yu, ...
IEEE transactions on medical imaging 36 (6), 1231-1249, 2017
1772017
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
1672019
Automatic fetal ultrasound standard plane detection using knowledge transferred recurrent neural networks
H Chen, Q Dou, D Ni, JZ Cheng, J Qin, S Li, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2015
1462015
Deep contextual networks for neuronal structure segmentation
H Chen, X Qi, J Cheng, P Heng
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
1322016
Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss
Q Dou, C Ouyang, C Chen, H Chen, PA Heng
arXiv preprint arXiv:1804.10916, 2018
1162018
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