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Pheng Ann Heng
Pheng Ann Heng
Professor, Computer Science & Engineering, Chinese University of Hong Kong
Verified email at cse.cuhk.edu.hk - Homepage
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
21472017
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
13792018
Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ...
IEEE transactions on medical imaging 37 (11), 2514-2525, 2018
8582018
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
8452016
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
7332017
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
6582016
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
6562018
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
5602016
A new method of feature fusion and its application in image recognition
QS Sun, SG Zeng, Y Liu, PA Heng, DS Xia
Pattern Recognition 38 (12), 2437-2448, 2005
5462005
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
5372016
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
5152023
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
5012017
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
4952017
Pu-net: Point cloud upsampling network
L Yu, X Li, CW Fu, D Cohen-Or, PA Heng
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4052018
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
3892017
R3net: Recurrent residual refinement network for saliency detection
Z Deng, X Hu, L Zhu, X Xu, J Qin, G Han, PA Heng
Proceedings of the 27th International Joint Conference on Artificial …, 2018
3682018
Uncertainty-aware self-ensembling model for semi-supervised 3D left atrium segmentation
L Yu, S Wang, X Li, CW Fu, PA Heng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
3602019
3D deeply supervised network for automatic liver segmentation from CT volumes
Q Dou, H Chen, Y Jin, L Yu, J Qin, PA Heng
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
3502016
Manga colorization
Y Qu, TT Wong, PA Heng
ACM Transactions on Graphics (ToG) 25 (3), 1214-1220, 2006
3452006
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
3432017
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