| 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 |
| 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 | 394 | 2018 |
| 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 | 244 | 2018 |
| Flow patterns in the sedimentation of an elliptical particle Z Xia, KW Connington, S Rapaka, P Yue, JJ Feng, S Chen Journal of Fluid Mechanics 625, 249-272, 2009 | 183 | 2009 |
| 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 | 157 | 2016 |
| Non-modal growth of perturbations in density-driven convection in porous media S Rapaka, S Chen, RJ Pawar, PH Stauffer, D Zhang Journal of Fluid Mechanics 609, 285-303, 2008 | 128 | 2008 |
| 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 | 109 | 2015 |
| Real-world variability in the prediction of intracranial aneurysm wall shear stress: the 2015 international aneurysm CFD challenge K Valen-Sendstad, AW Bergersen, Y Shimogonya, L Goubergrits, ... Cardiovascular engineering and technology 9, 544-564, 2018 | 107 | 2018 |
| 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 J Chamberlin, MR Kocher, J Waltz, M Snoddy, NFC Stringer, ... BMC medicine 19, 1-14, 2021 | 96 | 2021 |
| Method and system for purely geometric machine learning based fractional flow reserve LM Itu, P Sharma, S Rapaka, T Passerini, M Schöbinger, C Schwemmer, ... US Patent 10,463,336, 2019 | 93 | 2019 |
| Method and system for functional assessment of renal artery stenosis from medical images P Sharma, S Rapaka, V Mihalef, A Kamen US Patent 9,629,563, 2017 | 80 | 2017 |
| Method and system for extracting centerline representation of vascular structures in medical images via optimal paths in computational flow fields MA Gulsun, Y Zheng, S Rapaka, V Mihalef, P Sharma, G Funka-Lea US Patent 10,206,646, 2019 | 76 | 2019 |
| Learning based methods for personalized assessment, long-term prediction and management of atherosclerosis LM Itu, T Passerini, S Rapaka, P Sharma, D Comaniciu US Patent 10,483,006, 2019 | 75 | 2019 |
| System and method for patient specific planning and guidance of ablative procedures for cardiac arrhythmias T Mansi, O Ecabert, S Rapaka, B Georgescu, A Kamen, D Comaniciu US Patent 9,277,970, 2016 | 75 | 2016 |
| Onset of convection over a transient base-state in anisotropic and layered porous media S Rapaka, RJ Pawar, PH Stauffer, D Zhang, S Chen Journal of Fluid Mechanics 641, 227-244, 2009 | 73 | 2009 |
| System and method for real-time simulation of patient-specific cardiac electrophysiology including the effect of the electrical conduction system of the heart T Passerini, T Mansi, A Kamen, B Georgescu, S Rapaka, D Comaniciu US Patent 10,241,968, 2019 | 66 | 2019 |
| Coronary centerline extraction via optimal flow paths and CNN path pruning MA Gülsün, G Funka-Lea, P Sharma, S Rapaka, Y Zheng Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 66 | 2016 |
| Evaluation of a deep learning–based automated CT coronary artery calcium scoring algorithm SS Martin, M van Assen, S Rapaka, HT Hudson Jr, AM Fischer, ... Cardiovascular Imaging 13 (2_Part_1), 524-526, 2020 | 64 | 2020 |
| System and method for patient specific planning and guidance of electrophysiology interventions D Comaniciu, B Georgescu, A Kamen, T Mansi, T Passerini, S Rapaka US Patent 9,463,072, 2016 | 64 | 2016 |
| Rapid assessment and outcome analysis for medical patients S Rapaka, LM Itu, T Passerini, P Sharma, D Comaniciu US Patent 10,825,167, 2020 | 62 | 2020 |
Puneet SharmaSiemens Healthineers, Princeton NJVerified email at siemens-healthineers.com
