| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1190 | 2023 |
| 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 | 768 | 2008 |
| Edge detection with embedded confidence P Meer, B Georgescu IEEE Transactions on pattern analysis and machine intelligence 23 (12), 1351 …, 2001 | 673 | 2001 |
| Mean shift based clustering in high dimensions: A texture classification example Georgescu, Shimshoni, Meer Proceedings Ninth IEEE International Conference on Computer Vision, 456-463 …, 2003 | 626 | 2003 |
| Synergism in low level vision CM Christoudias, B Georgescu, P Meer 2002 International Conference on Pattern Recognition 4, 150-155, 2002 | 614 | 2002 |
| 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 | 416 | 2016 |
| 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 | 386 | 2019 |
| 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 | 336 | 2017 |
| 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 | 300 | 2017 |
| Method and system for anatomical object detection using marginal space deep neural networks B Georgescu, Y Zheng, H Nguyen, VK Singh, D Comaniciu, D Liu US Patent 9,730,643, 2017 | 286 | 2017 |
| Method and system for non-invasive assessment of coronary artery disease P Sharma, B Georgescu, V Mihalef, T Chen, D Comaniciu US Patent 9,119,540, 2015 | 283 | 2015 |
| Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree G Carneiro, B Georgescu, S Good, D Comaniciu IEEE transactions on medical imaging 27 (9), 1342-1355, 2008 | 272 | 2008 |
| Patient-specific modeling and quantification of the aortic and mitral valves from 4-D cardiac CT and TEE RI Ionasec, I Voigt, B Georgescu, Y Wang, H Houle, F Vega-Higuera, ... IEEE transactions on medical imaging 29 (9), 1636-1651, 2010 | 265 | 2010 |
| Fast automatic heart chamber segmentation from 3D CT data using marginal space learning and steerable features Y Zheng, A Barbu, B Georgescu, M Scheuering, D Comaniciu 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 227 | 2007 |
| 3D deep learning for efficient and robust landmark detection in volumetric data Y Zheng, D Liu, B Georgescu, H Nguyen, D Comaniciu Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 226 | 2015 |
| Learning to recognize abnormalities in chest x-rays with location-aware dense networks S Guendel, S Grbic, B Georgescu, S Liu, A Maier, D Comaniciu Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019 | 225 | 2019 |
| Method and system for machine learning based assessment of fractional flow reserve P Sharma, A Kamen, B Georgescu, F Sauer, D Comaniciu, Y Zheng, ... US Patent 9,700,219, 2017 | 225 | 2017 |
| An artificial agent for anatomical landmark detection in medical images FC Ghesu, B Georgescu, T Mansi, D Neumann, J Hornegger, ... Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 208 | 2016 |
| Variability and reproducibility of segmental longitudinal strain measurement: a report from the EACVI-ASE strain standardization task force O Mirea, ED Pagourelias, J Duchenne, J Bogaert, JD Thomas, LP Badano, ... JACC: Cardiovascular Imaging 11 (1), 15-24, 2018 | 204 | 2018 |
| Hierarchical, learning-based automatic liver segmentation H Ling, SK Zhou, Y Zheng, B Georgescu, M Suehling, D Comaniciu 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 196 | 2008 |
Dorin ComaniciuSiemens HealthineersVerified email at siemens-healthineers.com
