Suivre
Shuo Li
Titre
Citée par
Citée par
Année
Incremental Support Vector Learning for Ordinal Regression
B Gu, VS Sheng, KY Tay, W Romano, S Li
IEEE Transactions on Neural Networks and Learning Systems, 2014
7492014
Breast cancer multi-classification from histopathological images with structured deep learning model
Z Han, B Wei, Y Zheng, Y Yin, K Li, S Li
Scientific reports 7 (1), 4172, 2017
6542017
Incremental learning for ν-support vector regression
B Gu, VS Sheng, Z Wang, D Ho, S Osman, S Li
Neural networks 67, 140-150, 2015
4852015
Spine-GAN: Semantic segmentation of multiple spinal structures
Z Han, B Wei, A Mercado, S Leung, S Li
Medical image analysis 50, 23-35, 2018
1632018
Full left ventricle quantification via deep multitask relationships learning
W Xue, G Brahm, S Pandey, S Leung, S Li
Medical image analysis 43, 54-65, 2018
1482018
Multi-target regression via robust low-rank learning
X Zhen, M Yu, X He, S Li
IEEE transactions on pattern analysis and machine intelligence 40 (2), 497-504, 2017
1422017
Multi-Scale Deep Networks and Regression Forests for Direct Bi-ventricular Volume Estimation
X Zhen, Z Wang, A Islam, M Bhaduri, I Chan, S Li
Medical Image Analysis, 2016
1402016
Motion Tracking of the Carotid Artery Wall Motion From the Ultrasound Image Sequences: a Nonlinear State-space Approach
Z Gao, Y Li, Y Sun, J Yang, H Xiong, H Zhang, X Liu, W Wu, D Liang, S Li
IEEE Transaction on Medical Imaging, 2017
137*2017
An automatic cardiac arrhythmia classification system with wearable electrocardiogram
Y Xia, H Zhang, L Xu, Z Gao, H Zhang, H Liu, S Li
IEEE Access 6, 16529-16538, 2018
1312018
A multi-center milestone study of clinical vertebral CT segmentation
J Yao, JE Burns, D Forsberg, A Seitel, A Rasoulian, P Abolmaesumi, ...
Computerized Medical Imaging and Graphics 49, 16-28, 2016
1302016
Image Projection Network: 3D to 2D Image Segmentation in OCTA Images
M Li, Y Chen, Z Ji, K Xie, S Yuan, Q Chen, S Li
IEEE Transactions on Medical Imaging, 2020
1242020
Medical Image Computing and Computer Assisted Intervention—MICCAI 2022
L Wang, Q Dou, PT Fletcher, S Speidel, S Li
Proceedings of the 24th International Conference, Strasbourg, France 12901 …, 2021
1202021
Automatic landmark estimation for adolescent idiopathic scoliosis assessment using BoostNet
H Wu, C Bailey, P Rasoulinejad, S Li
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
1172017
Multi-modal vertebrae recognition using transformed deep convolution network
Y Cai, M Landis, DT Laidley, A Kornecki, A Lum, S Li
Computerized medical imaging and graphics 51, 11-19, 2016
1112016
Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture
C Xu, L Xu, Z Gao, S Zhao, H Zhang, Y Zhang, X Du, S Zhao, D Ghista, ...
Medical image analysis 50, 82-94, 2018
1092018
Automated comprehensive adolescent idiopathic scoliosis assessment using MVC-Net
H Wu, C Bailey, P Rasoulinejad, S Li
Medical image analysis 48, 1-11, 2018
1052018
Embedding overlap priors in variational left ventricle tracking
IB Ayed, S Li, I Ross
IEEE Transactions on Medical Imaging 28 (12), 1902-1913, 2009
992009
Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation
IB Ayed, K Punithakumar, G Garvin, W Romano, S Li
Information processing in medical imaging, 2011
962011
Robust estimation of carotid artery wall motion using the elasticity-based state-space approach
Z Gao, H Xiong, X Liu, H Zhang, D Ghista, W Wu, S Li
Medical image analysis 37, 1-21, 2017
932017
Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure
IB Ayed, H Chen, K Punithakumar, I Ross, S Li
Medical image analysis 16 (1), 87-100, 2012
932012
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