Yefeng Zheng
Yefeng Zheng
Tencent, Shenzhen, China, IEEE Fellow, AIMBE Fellow
Verified email at - Homepage
Cited by
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features
Y Zheng, A Barbu, B Georgescu, M Scheuering, D Comaniciu
IEEE transactions on medical imaging 27 (11), 1668-1681, 2008
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature Communications 13 (1), 1-13, 2022
Translating and segmenting multimodal medical volumes with cycle-and shapeconsistency generative adversarial network
Z Zhang, L Yang, Y Zheng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Med3D: Transfer Learning for 3D Medical Image Analysis
S Chen, K Ma, Y Zheng
arXiv preprint arXiv:1904.00625, 2019
Robust point matching for nonrigid shapes by preserving local neighborhood structures
Y Zheng, D Doermann
IEEE transactions on pattern analysis and machine intelligence 28 (4), 643-649, 2006
Combo loss: Handling input and output imbalance in multi-organ segmentation
SA Taghanaki, Y Zheng, SK Zhou, B Georgescu, P Sharma, D Xu, ...
Computerized Medical Imaging and Graphics 75, 24-33, 2019
Multi-scale deep reinforcement learning for real-time 3D-landmark detection in CT scans
FC Ghesu, B Georgescu, Y Zheng, S Grbic, A Maier, J Hornegger, ...
IEEE transactions on pattern analysis and machine intelligence 41 (1), 176-189, 2017
Machine printed text and handwriting identification in noisy document images
Y Zheng, H Li, D Doermann
IEEE transactions on pattern analysis and machine intelligence 26 (3), 337-353, 2004
Script-independent text line segmentation in freestyle handwritten documents
Y Li, Y Zheng, D Doermann, S Jaeger
IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (8), 1313-1329, 2008
Method and System for Anatomical Object Detection Using Marginal Space Deep Neural Networks
B Georgescu, Y Zheng, H Hguyen, VK Singh, D Comaniciu, D Liu
US Patent 20,160,174,902, 2016
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ...
Medical Image Analysis 67, 101832, 2021
Deep similarity learning for multimodal medical images
X Cheng, L Zhang, Y Zheng
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018
Fast automatic heart chamber segmentation from 3D CT data using marginal space learning and steerable features
Y Zheng, A Barbu, B Georgescu, M Scheuering, D Comaniciu
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data
Y Zheng, D Liu, B Georgescu, H Nguyen, D Comaniciu
MICCAI, 2015
Morphological diversity of single neurons in molecularly defined cell types
H Peng, P Xie, L Liu, X Kuang, Y Wang, L Qu, H Gong, S Jiang, A Li, ...
Nature 598 (7879), 174-181, 2021
Calibrated RGB-D Salient Object Detection
W Ji, J Li, S Yu, M Zhang, Y Piao, S Yao, Q Bi, K Ma, Y Zheng, H Lu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Deep learning and convolutional neural networks for medical image computing
L Lu, Y Zheng, G Carneiro, L Yang
Advances in Computer Vision and Pattern Recognition 10, 978-3, 2017
Method and System for Machine Learning Based Assessment of Fractional Flow Reserve
P Sharma, A Kamen, B Georgescu, F Sauer, D Comaniciu, Y Zheng, ...
US Patent 20,150,112,182, 2015
Hierarchical, learning-based automatic liver segmentation
H Ling, SK Zhou, Y Zheng, B Georgescu, M Suehling, D Comaniciu
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
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