Pheng Ann Heng
Pheng Ann Heng
Professor, Computer Science & Engineering, Chinese University of Hong Kong
Verified email at - Homepage
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
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
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
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
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
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
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
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
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
Manga colorization
Y Qu, TT Wong, PA Heng
ACM Transactions on Graphics (TOG) 25 (3), 1214-1220, 2006
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
Sampling with Hammersley and Halton points
TT Wong, WS Luk, PA Heng
Journal of graphics tools 2 (2), 9-24, 1997
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
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
Stability of fuzzy control systems with bounded uncertain delays
Z Yi, PA Heng
IEEE Transactions on Fuzzy Systems 10 (1), 92-97, 2002
Volumetric ConvNets with mixed residual connections for automated prostate segmentation from 3D MR images
L Yu, X Yang, H Chen, J Qin, PA Heng
Thirty-first AAAI conference on artificial intelligence, 2017
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
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