Tiziano Passerini
Tiziano Passerini
Siemens Healthineers
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
System and method for patient-specific image-based simulation of atrial electrophysiology
H Yang, T Passerini, B Georgescu, T Mansi, D Comaniciu
US Patent 10,354,758, 2019
Experiences with target-platform heterogeneity in clouds, grids, and on-premises resources
J Slawinski, T Passerini, U Villa, A Veneziani, V Sunderam
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
Method and system for personalized non-invasive hemodynamic assessment of renal artery stenosis from medical images
LM Itu, T Passerini, P Sharma
US Patent 10,595,790, 2020
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