GPU accelerated simulation of elliptic partial differential equations. - Lucian Mihai Itu; Constantin Suciu; Florin Moldoveanu; Adrian Postelnicu (IDAACS (1), 2011)

A framework for personalization of coronary flow computations during rest and hyperemia. - Puneet Sharma; Lucian Mihai Itu; Xudong Zheng; Ali Kamen; Dominik Bernhardt; Constantin Suciu; Dorin Comaniciu (EMBC, 2012)

A patient-specific reduced-order model for coronary circulation. - Lucian Mihai Itu; Puneet Sharma; Viorel Mihalef; Ali Kamen; Constantin Suciu; Dorm Lomaniciu (ISBI, 2012)

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 Everett; Richard Ringel; Nassir Navab; Dorin Comaniciu (MICCAI (2), 2012)

A novel coupling algorithm for computing blood flow in viscoelastic arterial models. - Lucian Mihai Itu; Puneet Sharma; Ali Kamen; Constantin Suciu; Dorin Comaniciu (EMBC, 2013)

GPU accelerated blood flow computation using the Lattice Boltzmann Method. - Cosmin Nita; Lucian Mihai Itu; Constantin Suciu (HPEC, 2013)

Model-Based Estimation of 4D Relative Pressure Map from 4D Flow MR Images. - Viorel Mihalef; Saikiran Rapaka; Mehmet A. Gülsün; Angelo Scorza; Puneet Sharma; Lucian Mihai Itu; Ali Kamen; Alex Barker; Michael Markl 001; Dorin Comaniciu (STACOM, 2013)

A method for modeling surrounding tissue support and its global effects on arterial hemodynamics. - Lucian Mihai Itu; Constantin Suciu (BHI, 2014)

Model based non-invasive estimation of PV loop from echocardiography. - Lucian Mihai Itu; Puneet Sharma; Bogdan Georgescu; Ali Kamen; Constantin Suciu; Dorin Comaniciu (EMBC, 2014)

Optimized three-dimensional stencil computation on Fermi and Kepler GPUs. - Anamaria Vizitiu; Lucian Mihai Itu; Cosmin Nita; Constantin Suciu (HPEC, 2014)

Uncertainty quantification in medical image-based hemodynamic computations. - Weijia Chen; Lucian Mihai Itu; Puneet Sharma; Ali Kamen (ISBI, 2014)

An external tissue support model for the arterial wall based on in vivo data. - Lucian Mihai Itu; Constantin Suciu (MeMeA, 2014)

GPU-accelerated model for fast, three-dimensional fluid-structure interaction computations. - Cosmin Nita; Lucian Mihai Itu; Viorel Mihalef; Puneet Sharma; Saikiran Rapaka (EMBC, 2015)

GPU accelerated geometric multigrid method: Comparison with preconditioned conjugate gradient. - Iulian Stroia; Lucian Mihai Itu; Cosmin Nita; Laszlo Lazar; Constantin Suciu (HPEC, 2015)

Vito - A Generic Agent for Multi-physics Model Personalization: Application to Heart Modeling. - Dominik Neumann; Tommaso Mansi; Lucian Mihai Itu; Bogdan Georgescu; Elham Kayvanpour; Farbod Sedaghat-Hamedani; Jan Haas; Hugo A. Katus; Benjamin Meder; Stefan Steidl; Joachim Hornegger; Dorin Comaniciu (MICCAI (2), 2015)

A parameter estimation framework for patient-specific hemodynamic computations. - Lucian Mihai Itu; Puneet Sharma; Tiziano Passerini; Ali Kamen; Constantin Suciu; Dorin Comaniciu (J. Comput. Phys., 2015)

GPU accelerated, robust method for voxelization of solid objects. - Cosmin Nita; Iulian Stroia; Lucian Mihai Itu; Constantin Suciu; Viorel Mihalef; Manasi Datar; Saikiran Rapaka; Puneet Sharma (HPEC, 2016)

GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets. - Anamaria Vizitiu; Lucian Mihai Itu; Ranveer Joyseeree; Adrien Depeursinge; Henning Müller; Constantin Suciu (PDP, 2016)

A self-taught artificial agent for multi-physics computational model personalization. - Dominik Neumann; Tommaso Mansi; Lucian Mihai Itu; Bogdan Georgescu; Elham Kayvanpour; Farbod Sedaghat-Hamedani; Ali Amr; Jan Haas; Hugo A. Katus; Benjamin Meder; Stefan Steidl; Joachim Hornegger; et al. (Medical Image Anal., 2016)

Towards deep learning based estimation of fracture risk in osteoporosis patients. - Costin Florian Ciusdel; Anamaria Vizitiu; Florin Moldoveanu; Constantin Suciu; Lucian Mihai Itu (TSP, 2017)

Privacy-Preserving Artificial Intelligence: Application to Precision Medicine. - Anamaria Vizitiu; Cosmin Ioan Nita; Andrei Puiu; Constantin Suciu; Lucian Mihai Itu (EMBC, 2019)

Deep learning based generation of synthetic blood vessel surfaces. - Manuela Danu; Cosmin Ioan Nita; Anamaria Vizitiu; Constantin Suciu; Lucian Mihai Itu (ICSTCC, 2019)

Data-Driven Adversarial Learning for Sinogram-Based Iterative Low-Dose CT Image Reconstruction. - Anamaria Vizitiu; Andrei Puiu; Sureerat Reaungamornrat; Lucian Mihai Itu (ICSTCC, 2019)

Towards Privacy-Preserving Deep Learning based Medical Imaging Applications. - Anamaria Vizitiu; Cosmin Ioan Nita; Andrei Puiu; Constantin Suciu; Lucian Mihai Itu (MeMeA, 2019)

Effect of Linearization in a WNT Signaling Model. - Costin Florian Ciusdel; Simona Coman; Cristian Nicolae Boldisor; T. Kessler; A. Muradyan; A. Kovachev; Hans Lehrach; Christoph K. Wierling; Lucian Mihai Itu (Comput. Math. Methods Medicine, 2019)

Deep learning models based on automatic labeling with application in echocardiography. - Manuela Danu; Costin Florian Ciusdel; Lucian Mihai Itu (ICSTCC, 2020)

Deep learning based myocardial ischemia detection in ECG signals. - Iulian Ogrezeanu; Diana Stoian; Alexandru Turcea; Lucian Mihai Itu (ICSTCC, 2020)

Deep neural networks for ECG-free cardiac phase and end-diastolic frame detection on coronary angiographies. - Costin Florian Ciusdel; Alexandru Turcea; Andrei Puiu; Lucian Mihai Itu; Lucian Calmac; Emma Weiss; Cornelia Margineanu; Elisabeta Badila; Martin Berger 002; Thomas Redel; Tiziano Passerini; Mehmet Akif Gülsün; et al. (Comput. Medical Imaging Graph., 2020)

An Automated Workflow for Hemodynamic Computations in Cerebral Aneurysms. - Cosmin Ioan Nita; Takashi Suzuki; Lucian Mihai Itu; Viorel Mihalef; Hiroyuki Takao; Yuichi Murayama; Puneet Sharma; Thomas Redel; Saikiran Rapaka (Comput. Math. Methods Medicine, 2020)

Applying Deep Neural Networks over Homomorphic Encrypted Medical Data. - Anamaria Vizitiu; Cosmin Ioan Nita; Andrei Puiu; Constantin Suciu; Lucian Mihai Itu (Comput. Math. Methods Medicine, 2020)

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 002; Osman Ugur Sezerman; Marc Cuggia; Marie de Tayrac; Edvins Miklasevics; Lucian Mihai Itu; et al. (BMC Medical Informatics Decis. Mak., 2021)

Deep Learning Based Detection of Collateral Circulation in Coronary Angiographies. - Cosmin-Andrei Hatfaludi; Daniel Bunescu; Costin Florian Ciusdel; Alex Serban; Karl Böse; Marc Oppel; Stephanie Schröder; Christopher Seehase; Harald F. Langer; Jeanette Erdmann; Henry Nording; Lucian Mihai Itu (CBMS, 2023)

XCAE: Deep Neural Network for X-ray Coronary Angiograms Quality Enhancement. - Andrei Damian Dinescu; Radu Miron 003; Lucian Mihai Itu; Ioana Cristina Plajer; Alexandru Turcea (ETFA, 2023)

Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition. - Andreea Bianca Popescu; Cosmin Ioan Nita; Ioana Antonia Taca; Anamaria Vizitiu; Lucian Mihai Itu (MED, 2023)

Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge. - Manuela Daniela Danu; Vasile George Marica; Sanjeev Kumar Karn; Bogdan Georgescu; Awais Mansoor; Florin C. Ghesu; Lucian Mihai Itu; Constantin Suciu; Sasa Grbic; Oladimeji Farri; Dorin Comaniciu (CoRR, 2023)

Multilingual Clinical NER for Diseases and Medications Recognition in Cardiology Texts using BERT Embeddings. - Manuela Daniela Danu; George Marica; Constantin Suciu; Lucian Mihai Itu; Oladimeji Farri (CLEF (Working Notes), 2024)

Automated Waste Sorting: A Comprehensive Approach Using Deep Learning for Detection and Classification. - Iulian Alexandru Ogrezeanu; Constantin Suciu; Lucian Mihai Itu (MED, 2024)

Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms. - Florin Condrea; Saikiran Rapaka; Lucian Mihai Itu; Puneet Sharma; Jonathan Sperl; A Mohamed Ali; Marius Leordeanu (Comput. Biol. Medicine, 2024)

Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection. - Andreea Bianca Popescu; Andreas Seitz; Heiko Mahrholdt; Jens Wetzl; Athira J. Jacob; Lucian Mihai Itu; Constantin Suciu; Teodora Chitiboi (CoRR, 2025)