| 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 | 742 | 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 | 606 | 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 | 482 | 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 | 150 | 2018 |
| Bioinspired fluffy fabric with in situ grown carbon nanotubes for ultrasensitive wearable airflow sensor H Wang, S Li, Y Wang, H Wang, X Shen, M Zhang, H Lu, M He, Y Zhang Advanced Materials 32 (11), 1908214, 2020 | 147 | 2020 |
| 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 | 142 | 2018 |
| 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 | 137 | 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 | 136* | 2017 |
| 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 | 133 | 2017 |
| 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 | 121 | 2016 |
| 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 | 117 | 2018 |
| Medical image computing and computer assisted intervention–MICCAI 2021 L Wang, Q Dou, PT Fletcher, S Speidel, S Li Proceedings of the 24th International Conference, Strasbourg, France 12901 …, 2021 | 108 | 2021 |
| 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 | 103 | 2017 |
| 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 | 103 | 2016 |
| 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 | 101 | 2018 |
| 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 |
| 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 | 95 | 2011 |
| 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 | 92 | 2017 |
| 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 | 90 | 2012 |
| 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 | 89 | 2020 |
Heye ZhangSchool of Biomedical Engineering, Sun Yat-sen University; IEEE Senior MemberVerified email at mail.sysu.edu.cn
