| 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 | 438 | 2016 |
| 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 | 168 | 2016 |
| Physical determining factors of the arterial pulse waveform: theoretical analysis and calculation using the 1-D formulation J Alastruey, T Passerini, L Formaggia, J Peiró Journal of Engineering Mathematics 77, 19-37, 2012 | 103 | 2012 |
| 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 | 102 | 2019 |
| 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 | 98 | 2016 |
| A 3D/1D geometrical multiscale model of cerebral vasculature T Passerini, M Luca, L Formaggia, A Quarteroni, A Veneziani Journal of Engineering Mathematics 64, 319-330, 2009 | 98 | 2009 |
| 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 | 83 | 2019 |
| Factors affecting formation and rupture of intracranial saccular aneurysms S Bacigaluppi, M Piccinelli, L Antiga, A Veneziani, T Passerini, P Rampini, ... Neurosurgical review 37, 1-14, 2014 | 78 | 2014 |
| Applications of variational data assimilation in computational hemodynamics M D’Elia, L Mirabella, T Passerini, M Perego, M Piccinelli, C Vergara, ... Modeling of physiological flows, 363-394, 2012 | 70 | 2012 |
| 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 | 69 | 2016 |
| Validation of an open source framework for the simulation of blood flow in rigid and deformable vessels T Passerini, A Quaini, U Villa, A Veneziani, S Canic International journal for numerical methods in biomedical engineering 29 (11 …, 2013 | 68 | 2013 |
| 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 | 67 | 2019 |
| 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 | 66 | 2018 |
| Rapid assessment and outcome analysis for medical patients S Rapaka, LM Itu, T Passerini, P Sharma, D Comaniciu US Patent 10,825,167, 2020 | 65 | 2020 |
| System and method for patient-specific image-based guidance of cardiac arrhythmia therapies T Passerini, T Mansi, A Kamen, B Georgescu, D Comaniciu US Patent 10,296,707, 2019 | 53 | 2019 |
| System and method for characterization of electrical properties of the heart from medical images and body surface potentials P Seegerer, T Mansi, MP Jolly, B Georgescu, A Kamen, D Comaniciu, ... US Patent 10,141,077, 2018 | 51 | 2018 |
| An integrated statistical investigation of internal carotid arteries of patients affected by cerebral aneurysms T Passerini, LM Sangalli, S Vantini, M Piccinelli, S Bacigaluppi, L Antiga, ... Cardiovascular Engineering and Technology 3, 26-40, 2012 | 51 | 2012 |
| Deep learning acceleration of total Lagrangian explicit dynamics for soft tissue mechanics F Meister, T Passerini, V Mihalef, A Tuysuzoglu, A Maier, T Mansi Computer Methods in Applied Mechanics and Engineering 358, 112628, 2020 | 42 | 2020 |
| 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 | 39 | 2015 |
| Vascular segmentation using fully convolutional and recurrent neural networks MA Gulsun, Y Zheng, P Sharma, VK Singh, T Passerini US Patent 10,762,637, 2020 | 34 | 2020 |
Puneet SharmaSiemens Healthineers, Princeton NJVerified email at siemens-healthineers.com
