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 | 758 | 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 | 704 | 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 | 489 | 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 | 175 | 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 | 167 | 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 | 156 | 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 | 142 | 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 | 141 | 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 | 139* | 2017 |
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 | 136 | 2020 |
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 | 136 | 2018 |
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 | 133 | 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 | 126 | 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 | 116 | 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 | 116 | 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 | 115 | 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 | 103 | 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 | 99 | 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 | 97 | 2017 |
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 | 96 | 2017 |