| 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 | 362 | 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 | 326 | 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 | 204 | 2018 |
| 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 | 136 | 2013 |
| 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 | 120 | 2018 |
| 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 | 118 | 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 | 87 | 2013 |
| 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 | 86 | 2016 |
| A patient-specific reduced-order model for coronary circulation L Itu, P Sharma, V Mihalef, A Kamen, C Suciu, D Lomaniciu 2012 9th IEEE international symposium on biomedical imaging (ISBI), 832-835, 2012 | 84 | 2012 |
| A framework for personalization of coronary flow computations during rest and hyperemia P Sharma, L Itu, X Zheng, A Kamen, D Bernhardt, C Suciu, D Comaniciu 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 66 | 2012 |
| 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. 14/070,810, 2014 | 64 | 2014 |
| Foam coated air filtration media L Fraser US Patent App. 10/176,896, 2003 | 64 | 2003 |
| 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 | 55 | 2019 |
| Coronary CT angiography derived fractional flow reserve: methodology and evaluation of a point of care algorithm A Coenen, MM Lubbers, A Kurata, A Kono, A Dedic, RG Chelu, ... Journal of cardiovascular computed tomography 10 (2), 105-113, 2016 | 55 | 2016 |
| Applying deep neural networks over homomorphic encrypted medical data A Vizitiu, CI Niƫă, A Puiu, C Suciu, LM Itu Computational and mathematical methods in medicine 2020, 2020 | 49 | 2020 |
| Synthetic data-driven hemodynamic determination in medical imaging LM Itu, T Passerini, S Rapaka, P Sharma, C Schwemmer, M Schoebinger, ... US Patent 9,918,690, 2018 | 46 | 2018 |
| A parameter estimation framework for patient-specific hemodynamic computations L Itu, P Sharma, T Passerini, A Kamen, C Suciu, D Comaniciu Journal of Computational Physics 281, 316-333, 2015 | 38 | 2015 |
| GPU accelerated blood flow computation using the lattice Boltzmann method C Nitä, LM Itu, C Suciu 2013 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2013 | 38* | 2013 |
| 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 | 35 | 2019 |
| Towards privacy-preserving deep learning based medical imaging applications A Vizitiu, CI Niţă, A Puiu, C Suciu, LM Itu 2019 IEEE international symposium on medical measurements and applications …, 2019 | 34 | 2019 |
Puneet SharmaSiemens Healthineers, Princeton NJBestätigte E-Mail-Adresse bei siemens-healthineers.com
