| Mean shift: A robust approach toward feature space analysis D Comaniciu, P Meer IEEE Transactions on pattern analysis and machine intelligence 24 (5), 603-619, 2002 | 15996 | 2002 |
| Kernel-based object tracking D Comaniciu, P Meer IEEE Transactions on pattern analysis and machine intelligence 25 (5), 2003 | 7040 | 2003 |
| Real-time tracking of non-rigid objects using mean shift D Comaniciu, V Ramesh, P Meer Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR …, 2000 | 5021 | 2000 |
| Mean shift analysis and applications D Comaniciu, P Meer Proceedings of the seventh IEEE international conference on computer vision …, 1999 | 1644 | 1999 |
| Robust analysis of feature spaces: Color image segmentation D Comaniciu, P Meer Proceedings of IEEE computer society conference on computer vision and …, 1997 | 1170 | 1997 |
| Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features Y Zheng, A Barbu, B Georgescu, M Scheuering, D Comaniciu IEEE transactions on medical imaging 27 (11), 1668-1681, 2008 | 747 | 2008 |
| The variable bandwidth mean shift and data-driven scale selection D Comaniciu, V Ramesh, P Meer Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 703 | 2001 |
| Total variation models for variable lighting face recognition T Chen, W Yin, XS Zhou, D Comaniciu, TS Huang IEEE transactions on pattern analysis and machine intelligence 28 (9), 1519-1524, 2006 | 616 | 2006 |
| An algorithm for data-driven bandwidth selection D Comaniciu IEEE Transactions on pattern analysis and machine intelligence 25 (2), 281-288, 2003 | 578 | 2003 |
| Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review D Dey, PJ Slomka, P Leeson, D Comaniciu, S Shrestha, PP Sengupta, ... Journal of the American College of Cardiology 73 (11), 1317-1335, 2019 | 431 | 2019 |
| Mean shift and optimal prediction for efficient object tracking D Comaniciu, V Ramesh Proceedings 2000 International Conference on Image Processing (Cat. No …, 2000 | 373 | 2000 |
| A machine-learning approach for computation of fractional flow reserve from coronary computed tomography L Itu, S Rapaka, T Passerini, B Georgescu, C Schwemmer, ... Journal of applied physiology 121 (1), 42-52, 2016 | 361 | 2016 |
| Computer aided diagnostic assistance for medical imaging B Duggirala, DS Paine, D Comaniciu, A Krishnan, X Zhou US Patent 7,244,230, 2007 | 325 | 2007 |
| A common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shift D Barash, D Comaniciu Image and Vision Computing 22 (1), 73-81, 2004 | 304 | 2004 |
| v. Ramesh, and P. Meer.“Kernel-based object tracking” D Comaniciu IEEE Trans. on PAMI 25, 564-575, 2003 | 287* | 2003 |
| Collaborative diagnostic systems DJ Foran, D Cominciu, P Meer US Patent 7,027,633, 2006 | 285 | 2006 |
| Multi-scale deep reinforcement learning for real-time 3D-landmark detection in CT scans FC Ghesu, B Georgescu, Y Zheng, S Grbic, A Maier, J Hornegger, ... IEEE transactions on pattern analysis and machine intelligence 41 (1), 176-189, 2017 | 283 | 2017 |
| Distribution free decomposition of multivariate data D Comaniciu, P Meer Pattern analysis & applications 2, 22-30, 1999 | 275 | 1999 |
| Combo loss: Handling input and output imbalance in multi-organ segmentation SA Taghanaki, Y Zheng, SK Zhou, B Georgescu, P Sharma, D Xu, ... Computerized Medical Imaging and Graphics 75, 24-33, 2019 | 268 | 2019 |
| Automatic liver segmentation using an adversarial image-to-image network D Yang, D Xu, SK Zhou, B Georgescu, M Chen, S Grbic, D Metaxas, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 268 | 2017 |
