| 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 | 666 | 2014 |
| 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 | 412 | 2015 |
| 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), 1-10, 2017 | 158 | 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 | 98 | 2016 |
| Stretchable surfaces with programmable 3D texture morphing for synthetic camouflaging skins JH Pikul, S Li, H Bai, RT Hanlon, I Cohen, RF Shepherd Science 358 (6360), 210-214, 2017 | 89 | 2017 |
| Embedding overlap priors in variational left ventricle tracking I Ben Ayed, S Li, I Ross IEEE Transactions on Medical Imaging 28 (12), 1902-1913, 2009 | 88 | 2009 |
| 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 | 82* | 2017 |
| 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 | 74 | 2018 |
| 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 | 69 | 2011 |
| 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 | 66 | 2012 |
| 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 | 64 | 2017 |
| A stretchable multicolor display and touch interface using photopatterning and transfer printing S Li, BN Peele, CM Larson, H Zhao, RF Shepherd Advanced Materials 28 (44), 9770-9775, 2016 | 64 | 2016 |
| Intervertebral disc segmentation in MR images using anisotropic oriented flux MWK Law, KY Tay, A Leung, GJ Garvin, S Li Medical image analysis 17 (1), 43-61, 2013 | 64 | 2013 |
| 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 | 62 | 2016 |
| Regional assessment of cardiac left ventricular myocardial function via MRI statistical features M Afshin, IB Ayed, K Punithakumar, M Law, A Islam, A Goela, T Peters, ... IEEE transactions on medical imaging 33 (2), 481-494, 2013 | 62 | 2013 |
| Semi-automatic computer aided lesion detection in dental X-rays using variational level set S Li, T Fevens, A Krzyżak, C Jin, S Li Pattern Recognition 40 (10), 2861-2873, 2007 | 62 | 2007 |
| Direct Estimation of Cardiac Bi-ventricular Volumes with Regression Forests X Zhen, Z Wang, A Islam, M Bhaduri, I Chan, S Li Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014 | 58 | 2014 |
| Automatic clinical image segmentation using pathological modeling, PCA and SVM S Li, T Fevens, A Krzyżak, S Li Engineering Applications of Artificial Intelligence 19 (4), 403-410, 2006 | 58 | 2006 |
| An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments S Li, T Fevens, A Krzyżak, S Li Computerized Medical Imaging and Graphics 30 (2), 65-74, 2006 | 57 | 2006 |
| Bi-parameter space partition for cost-sensitive SVM B Gu, VS Sheng, S Li Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 56 | 2015 |
Ismail Ben AyedETS MontrealVerified email at etsmtl.ca
