L
Lucian Mihai Itu
Researcher at Siemens
Publications - 114
Citations - 1720
Lucian Mihai Itu is an academic researcher from Siemens. The author has contributed to research in topics: Fractional flow reserve & Deep learning. The author has an hindex of 19, co-authored 97 publications receiving 1383 citations. Previous affiliations of Lucian Mihai Itu include Transilvania University of Brașov & Princeton University.
Papers
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Journal ArticleDOI
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium.
Rosy Tsopra,Xosé M Fernández,Claudio Luchinat,Lilia Alberghina,Hans Lehrach,Marco Vanoni,Felix Dreher,O. Uğur Sezerman,Marc Cuggia,Marie de Tayrac,Edvīns Miklaševičs,Lucian Mihai Itu,Marius Geanta,Lesley A. Ogilvie,Florence Godey,Cristian Boldisor,Boris Campillo-Gimenez,Cosmina Cioroboiu,Costin Florian Ciusdel,Simona Coman,Oliver Hijano Cubelos,Alina Itu,Bodo Lange,Matthieu Le Gallo,Alexandra Lespagnol,Giancarlo Mauri,H Okan Soykam,Bastien Rance,Bastien Rance,Paola Turano,Leonardo Tenori,Alessia Vignoli,Christoph Wierling,Nora Benhabiles,Anita Burgun +34 more
TL;DR: In this paper, the authors present an approach for assessing AI for predicting treatment response in triple-negative breast cancer (TNBC), using real-world data and molecular-omics data from clinical data warehouses and biobanks.
Book ChapterDOI
Hemodynamic assessment of pre- and post-operative aortic coarctation from MRI
Kristof Ralovich,Lucian Mihai Itu,Viorel Mihalef,Puneet Sharma,Razvan Ioan Ionasec,Dime Vitanovski,Waldemar Krawtschuk,Allen D. Everett,Richard Ringel,Nassir Navab,Dorin Comaniciu +10 more
TL;DR: A non-invasive method based on Computational Fluid Dynamics and MR imaging to estimate the pre- and post-operative hemodynamics for both native and recurrent coarctation patients is proposed.
Proceedings ArticleDOI
Model based non-invasive estimation of PV loop from echocardiography.
TL;DR: A model-based approach for the non-invasive estimation of patient specific, left ventricular PV loops is introduced and a perfect agreement is obtained between the computed quantities and the clinical measurements.
Journal ArticleDOI
Personalized blood flow computations: A hierarchical parameter estimation framework for tuning boundary conditions
Lucian Mihai Itu,Lucian Mihai Itu,Puneet Sharma,Constantin Suciu,Constantin Suciu,Florin Moldoveanu,Dorin Comaniciu +6 more
TL;DR: The proposed framework is successfully evaluated on a patient-specific aortic model with coarctation: only six iterations are required for the computational model to be in close agreement with the clinical measurements used as objectives, and overall, there is a good agreement between the measured and computed quantities.
Patent
Personalized whole-body circulation in medical imaging
Tommaso Mansi,Lucian Mihai Itu,Viorel Mihalef,Dominik Neumann,Tiziano Passerini,Puneet Sharma,Dorin Comaniciu +6 more
TL;DR: In this paper, a combination of models at different scales and machine learning may be used to personalize and calculate the circulation for a particular patient, which is then used to determine, visualize, or report a diagnostically or therapeutically useful circulation metric for that patient.