| Graph curvature for differentiating cancer networks R Sandhu, T Georgiou, E Reznik, L Zhu, I Kolesov, Y Senbabaoglu, ... Scientific reports 5 (1), 12323, 2015 | 176 | 2015 |
| Ricci curvature: An economic indicator for market fragility and systemic risk RS Sandhu, TT Georgiou, AR Tannenbaum Science advances 2 (5), e1501495, 2016 | 152 | 2016 |
| Point set registration via particle filtering and stochastic dynamics R Sandhu, S Dambreville, A Tannenbaum IEEE transactions on pattern analysis and machine intelligence 32 (8), 1459-1473, 2009 | 141 | 2009 |
| A coupled global registration and segmentation framework with application to magnetic resonance prostate imagery Y Gao, R Sandhu, G Fichtinger, AR Tannenbaum IEEE transactions on medical imaging 29 (10), 1781-1794, 2010 | 82 | 2010 |
| Robust 3d pose estimation and efficient 2d region-based segmentation from a 3d shape prior S Dambreville, R Sandhu, A Yezzi, A Tannenbaum Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 70 | 2008 |
| Particle filtering for registration of 2D and 3D point sets with stochastic dynamics R Sandhu, S Dambreville, A Tannenbaum 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 57 | 2008 |
| A new distribution metric for image segmentation R Sandhu, T Georgiou, A Tannenbaum Medical Imaging 2008: Image Processing 6914, 40-48, 2008 | 51 | 2008 |
| A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning* Y Lin, K Zhang, Z Yang, Z Wang, T Başar, R Sandhu, J Liu 2019 IEEE 58th Conference on Decision and Control (CDC), 5562-5567, 2019 | 44 | 2019 |
| Non-rigid 2D-3D pose estimation and 2D image segmentation R Sandhu, S Dambreville, A Yezzi, A Tannenbaum 2009 IEEE Conference on Computer Vision and Pattern Recognition, 786-793, 2009 | 43 | 2009 |
| A geometric approach to joint 2D region-based segmentation and 3D pose estimation using a 3D shape prior S Dambreville, R Sandhu, A Yezzi, A Tannenbaum SIAM journal on imaging sciences 3 (1), 110-132, 2010 | 39 | 2010 |
| A nonrigid kernel-based framework for 2D-3D pose estimation and 2D image segmentation R Sandhu, S Dambreville, A Yezzi, A Tannenbaum IEEE transactions on pattern analysis and machine intelligence 33 (6), 1098-1115, 2010 | 37 | 2010 |
| Market fragility, systemic risk, and Ricci curvature R Sandhu, T Georgiou, A Tannenbaum arXiv preprint arXiv:1505.05182, 2015 | 30 | 2015 |
| Graph curvature and the robustness of cancer networks A Tannenbaum, C Sander, L Zhu, R Sandhu, I Kolesov, E Reznik, ... arXiv preprint arXiv:1502.04512, 2015 | 28 | 2015 |
| Hypergraph geometry reflects higher-order dynamics in protein interaction networks KA Murgas, E Saucan, R Sandhu Scientific Reports 12 (1), 20879, 2022 | 27 | 2022 |
| Pediatric sarcoma data forms a unique cluster measured via the earth mover’s distance Y Chen, FD Cruz, R Sandhu, AL Kung, P Mundi, JO Deasy, ... Scientific reports 7 (1), 7035, 2017 | 24 | 2017 |
| Particle filters and occlusion handling for rigid 2D–3D pose tracking J Lee, R Sandhu, A Tannenbaum Computer Vision and Image Understanding 117 (8), 922-933, 2013 | 20 | 2013 |
| Toward resilient multi-agent actor-critic algorithms for distributed reinforcement learning Y Lin, S Gade, R Sandhu, J Liu 2020 American Control Conference (ACC), 3953-3958, 2020 | 17 | 2020 |
| A Distributed Algorithm for Sequential Decision Making in Multi-Armed Bandit with Homogeneous Rewards* J Zhu, R Sandhu, J Liu 2020 59th IEEE Conference on Decision and Control (CDC), 3078-3083, 2020 | 13 | 2020 |
| Bakry-Émery Ricci curvature on weighted graphs with applications to biological networks M Pouryahya, R Elkin, R Sandhu, S Tannenbaum, T Georgiou, ... Int. Symp. on Math. Theory of Net. and Sys 22, 52, 2016 | 10 | 2016 |
| Quantifying cellular pluripotency and pathway robustness through Forman-Ricci curvature KA Murgas, E Saucan, R Sandhu Complex networks & their applications X: volume 2, proceedings of the tenth …, 2022 | 9 | 2022 |
