Puneet Sharma
Puneet Sharma
Siemens Healthineers, Princeton NJ
Verified email at - Homepage
Cited by
Cited by
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
Diagnostic accuracy of a machine-learning approach to coronary computed tomographic angiography–based fractional flow reserve: result from the MACHINE consortium
A Coenen, YH Kim, M Kruk, C Tesche, J De Geer, A Kurata, ML Lubbers, ...
Circulation: Cardiovascular Imaging 11 (6), e007217, 2018
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
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
Coronary CT angiography–derived fractional flow reserve: machine learning algorithm versus computational fluid dynamics modeling
C Tesche, CN De Cecco, S Baumann, M Renker, TW McLaurin, ...
Radiology 288 (1), 64-72, 2018
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
Method and System for Comprehensive Patient-Specific Modeling of the Heart
RI Ionasec, I Voigt, V Mihalef, S Grbic, D Vitanovski, Y Wang, Y Zheng, ...
US Patent App. 13/091,076, 2011
Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis
P Sharma, LM Itu, A Kamen, B Georgescu, X Zheng, H Tek, D Comaniciu, ...
US Patent App. 13/794,113, 2013
Patient-specific modelling of whole heart anatomy, dynamics and haemodynamics from four-dimensional cardiac CT images
V Mihalef, RI Ionasec, P Sharma, B Georgescu, I Voigt, M Suehling, ...
Interface Focus 1 (3), 286-296, 2011
Synthetic data-driven hemodynamic determination in medical imaging
LM Itu, T Passerini, S Rapaka, P Sharma, C Schwemmer, M Schoebinger, ...
US Patent 9,349,178, 2016
Method and system for multi-scale anatomical and functional modeling of coronary circulation
P Sharma, LM Itu, B Georgescu, V Mihalef, A Kamen, D Comaniciu
US Patent 10,162,932, 2018
Method and system for computational modeling of the aorta and heart
P Sharma, B Georgescu, RI Ionasec, D Comaniciu, S Aktiengesellschaft, ...
US Patent 8,224,640, 2012
Method and system for multi-component heart and aorta modeling for decision support in cardiac disease
RI Ionasec, P Sharma, B Georgescu, A Torzhkov, F Moerchen, ...
US Patent US8,527,251, 2013
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 9,538,925, 2017
Method and system for advanced measurements computation and therapy planning from medical data and images using a multi-physics fluid-solid heart model
T Mansi, V Mihalef, X Zheng, B Georgescu, S Rapaka, P Sharma, ...
US Patent 9,129,053, 2015
Comparison of fractional flow reserve based on computational fluid dynamics modeling using coronary angiographic vessel morphology versus invasively measured fractional flow …
M Tröbs, S Achenbach, J Röther, T Redel, M Scheuering, D Winneberger, ...
The American journal of cardiology 117 (1), 29-35, 2016
Non-Invasive Hemodynamic Assessment of Aortic Coarctation: Validation with In Vivo Measurements
L Itu, P Sharma, K Ralovich, V Mihalef, R Ionasec, A Everett, R Ringel, ...
Annals of biomedical engineering 41, 669-681, 2013
A Patient-specific Reduced-order Model for Coronary Circulation
L Itu, P Sharma, V Mihalef, A Kamen, C Suciu, D Comaniciu
Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value
BMC Medicine 19 (55), 2021
Method and system for artificial intelligence based medical image segmentation
SK Zhou, M Chen, H Ding, B Georgescu, MA Gulsun, TS Kim, AP Kiraly, ...
US Patent 10,878,219, 2020
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