Bogdan Georgescu
Bogdan Georgescu
Siemens Medical Solutions USA, Inc.
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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
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
Edge detection with embedded confidence
P Meer, B Georgescu
IEEE Transactions on pattern analysis and machine intelligence 23 (12), 1351 …, 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
Synergism in low level vision
CM Christoudias, B Georgescu, P Meer
2002 International Conference on Pattern Recognition 4, 150-155, 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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