Pheng Ann Heng

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Alıntılar	61445	46538
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i10-endeksi	497	342

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Katkıda bulunan yazarlar

Qi DOUAssistant Professor, The Chinese University of Hong Kongcse.cuhk.edu.hk üzerinde doğrulanmış e-posta adresine sahip
Hao ChenAssistant Professor, The Hong Kong University of Science and Technologycse.ust.hk üzerinde doğrulanmış e-posta adresine sahip
Chi-Wing Fu, PhilipThe Chinese University of Hong Kongcse.cuhk.edu.hk üzerinde doğrulanmış e-posta adresine sahip
Lequan YuAssistant Professor, The University of Hong Konghku.hk üzerinde doğrulanmış e-posta adresine sahip
Tien-Tsin WongProfessor, Dept of Data Science and Artificial Intelligence, Monash Universityacm.org üzerinde doğrulanmış e-posta adresine sahip
Guangyong Chen(陈广勇)Zhejiang Lab, Zhejiang University 100 Young Professorzhejianglab.com üzerinde doğrulanmış e-posta adresine sahip
Yueming JinAssistant Professor, National University of Singaporenus.edu.sg üzerinde doğrulanmış e-posta adresine sahip
Xiaowei HuShanghai Artificial Intelligence Laboratorypjlab.org.cn üzerinde doğrulanmış e-posta adresine sahip
Lei ZhuHong Kong University of Science and Technologyust.hk üzerinde doğrulanmış e-posta adresine sahip
Dong NiShenzhen Universityszu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Xin Yang (楊鑫)Associate Professor of BME, Shenzhen Universityszu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Xiaomeng LiAssistant Professor, The Hong Kong University of Science and Technologyust.hk üzerinde doğrulanmış e-posta adresine sahip
Xi WangThe Chinese University of Hong Kongcse.cuhk.edu.hk üzerinde doğrulanmış e-posta adresine sahip
CHOI Kup-Sze (Thomas)TechCosmos Limited, HL7 Hong Kong Limited,ieee.org üzerinde doğrulanmış e-posta adresine sahip
Xianzhi LiHuazhong University of Science and Technologyhust.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Yi WANGShenzhen Universityszu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Emma, Shujun WangThe Hong Kong Polytechnic Universitypolyu.edu.hk üzerinde doğrulanmış e-posta adresine sahip
Qingqing ZhengAssociate Professor, Chinese Academic of Sciencesiat.ac.cn üzerinde doğrulanmış e-posta adresine sahip
Cheng ChenAssistant Professor, The University of Hong Kongeee.hku.hk üzerinde doğrulanmış e-posta adresine sahip

Takip et

Pheng Ann Heng

Choh-Ming Li Professor of Computer Science and Engineering, The Chinese University of Hong Kong

cse.cuhk.edu.hk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Medical Image Analysis Surgical Simulation Visualization Graphics Virtual Reality


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
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	3381	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	2581	2018
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	1993	2018
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	1401	2023
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	1291	2017
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	1222	2016
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	1067	2019
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	1010	2018
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	901	2017
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	812	2016
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	784	2016
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	745	2018
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	700	2020
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	679	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	672	2017
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	644	2005
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	572	2018
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	546	2017
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	545	2021
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	527	2020

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