Shuo Li
Cited by
Cited by
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
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
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
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
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011
Y Wang, J Nie, PT Yap, F Shi, L Guo, D Shen
Proceedings of the 24th International Conference, Strasbourg, France 27, 2011
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
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
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
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
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
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
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
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
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
Automated comprehensive adolescent idiopathic scoliosis assessment using MVC-Net
H Wu, C Bailey, P Rasoulinejad, S Li
Medical image analysis 48, 1-11, 2018
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
Humidity-sensitive chemoelectric flexible sensors based on metal-air redox reaction for health management
S Li, Y Zhang, X Liang, H Wang, H Lu, M Zhu, H Wang, M Zhang, X Qiu, ...
Nature communications 13 (1), 5416, 2022
Embedding overlap priors in variational left ventricle tracking
IB Ayed, S Li, I Ross
IEEE Transactions on Medical Imaging 28 (12), 1902-1913, 2009
Association of amine biomarkers with incident dementia and Alzheimer's disease in the Framingham Study
V Chouraki, SR Preis, Q Yang, A Beiser, S Li, MG Larson, G Weinstein, ...
Alzheimer's & Dementia 13 (12), 1327-1336, 2017
Assembly of nanofluidic MXene fibers with enhanced ionic transport and capacitive charge storage by flake orientation
S Li, Z Fan, G Wu, Y Shao, Z Xia, C Wei, F Shen, X Tong, J Yu, K Chen, ...
ACS nano 15 (4), 7821-7832, 2021
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