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Pheng Ann Heng
Pheng Ann Heng
Choh-Ming Li Professor of Computer Science and Engineering, The Chinese University of Hong Kong
Verified email at cse.cuhk.edu.hk - Homepage
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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
32572017
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
24562018
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
18062018
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
12642023
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
12302017
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
11812016
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
9442019
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
8652017
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
8242018
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
7992016
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
7662016
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
7002018
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
6752016
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
6512017
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ...
Medical image analysis 59, 101570, 2020
6392020
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
6292005
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
5502018
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
5382017
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
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
4942021
Transformation-consistent self-ensembling model for semisupervised medical image segmentation
X Li, L Yu, H Chen, CW Fu, L Xing, PA Heng
IEEE transactions on neural networks and learning systems 32 (2), 523-534, 2020
4832020
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