Lucian Mihai Itu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 27

Top Topics

Pulmonary Embolism

Gpu Accelerated

Medical Imaging

Top Venues

Publications

Iulian Alexandru Ogrezeanu, Constantin Suciu, Lucian Mihai Itu
Automated Waste Sorting: A Comprehensive Approach Using Deep Learning for Detection and Classification. MED (2024)
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
Deep learning based detection of collateral circulation in coronary angiographies. CoRR (2024)
Florin Condrea, Saikiran Rapaka, Lucian Mihai Itu, Puneet Sharma, Jonathan Sperl, A Mohamed Ali, Marius Leordeanu
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms. Comput. Biol. Medicine 174 (2024)
Manuela Daniela Danu, George Marica, Constantin Suciu, Lucian Mihai Itu, Oladimeji Farri
Multilingual Clinical NER for Diseases and Medications Recognition in Cardiology Texts using BERT Embeddings. CLEF (Working Notes) (2024)
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
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge. CoRR (2023)
Florin Condrea, Saikiran Rapaka, Lucian Mihai Itu, Puneet Sharma, Jonathan Sperl, A Mohamed Ali, Marius Leordeanu
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms. CoRR (2023)
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
Deep Learning Based Detection of Collateral Circulation in Coronary Angiographies. CBMS (2023)
Andreea Bianca Popescu, Cosmin Ioan Nita, Ioana Antonia Taca, Anamaria Vizitiu, Lucian Mihai Itu
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition. MED (2023)
Andreea Bianca Popescu, Cosmin Ioan Nita, Ioana Antonia Taca, Anamaria Vizitiu, Lucian Mihai Itu
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition. CoRR (2023)
Andrei Damian Dinescu, Radu Miron, Lucian Mihai Itu, Ioana Cristina Plajer, Alexandru Turcea
XCAE: Deep Neural Network for X-ray Coronary Angiograms Quality Enhancement. ETFA (2023)
Rosy Tsopra, Xosé M. Fernández, Claudio Luchinat, Lilia Alberghina, Hans Lehrach, Marco Vanoni, Felix Dreher, Osman Ugur Sezerman, Marc Cuggia, Marie de Tayrac, Edvins Miklasevics, Lucian Mihai Itu, Marius Geanta, Lesley Ogilvie, Florence Godey, Cristian Nicolae 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, Paola Turano, Leonardo Tenori, Alessia Vignoli, Christoph Wierling, Nora Benhabiles, Anita Burgun
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Manuela Danu, Costin Florian Ciusdel, Lucian Mihai Itu
Deep learning models based on automatic labeling with application in echocardiography. ICSTCC (2020)
Cosmin Ioan Nita, Takashi Suzuki, Lucian Mihai Itu, Viorel Mihalef, Hiroyuki Takao, Yuichi Murayama, Puneet Sharma, Thomas Redel, Saikiran Rapaka
An Automated Workflow for Hemodynamic Computations in Cerebral Aneurysms. Comput. Math. Methods Medicine 2020 (2020)
Iulian Ogrezeanu, Diana Stoian, Alexandru Turcea, Lucian Mihai Itu
Deep learning based myocardial ischemia detection in ECG signals. ICSTCC (2020)
Anamaria Vizitiu, Cosmin Ioan Nita, Andrei Puiu, Constantin Suciu, Lucian Mihai Itu
Applying Deep Neural Networks over Homomorphic Encrypted Medical Data. Comput. Math. Methods Medicine 2020 (2020)
Costin Florian Ciusdel, Alexandru Turcea, Andrei Puiu, Lucian Mihai Itu, Lucian Calmac, Emma Weiss, Cornelia Margineanu, Elisabeta Badila, Martin Berger, Thomas Redel, Tiziano Passerini, Mehmet Akif Gülsün, Puneet Sharma
Deep neural networks for ECG-free cardiac phase and end-diastolic frame detection on coronary angiographies. Comput. Medical Imaging Graph. 84 (2020)
Costin Florian Ciusdel, Simona Coman, Cristian Boldisor, T. Kessler, A. Muradyan, A. Kovachev, Hans Lehrach, Christoph K. Wierling, Lucian Mihai Itu
Effect of Linearization in a WNT Signaling Model. Comput. Math. Methods Medicine 2019 (2019)
Anamaria Vizitiu, Cosmin Ioan Nita, Andrei Puiu, Constantin Suciu, Lucian Mihai Itu
Privacy-Preserving Artificial Intelligence: Application to Precision Medicine. EMBC (2019)
Manuela Danu, Cosmin Ioan Nita, Anamaria Vizitiu, Constantin Suciu, Lucian Mihai Itu
Deep learning based generation of synthetic blood vessel surfaces. ICSTCC (2019)
Anamaria Vizitiu, Andrei Puiu, Sureerat Reaungamornrat, Lucian Mihai Itu
Data-Driven Adversarial Learning for Sinogram-Based Iterative Low-Dose CT Image Reconstruction. ICSTCC (2019)
Anamaria Vizitiu, Cosmin Ioan Nita, Andrei Puiu, Constantin Suciu, Lucian Mihai Itu
Towards Privacy-Preserving Deep Learning based Medical Imaging Applications. MeMeA (2019)
Costin Florian Ciusdel, Alexandru Turcea, Andrei Puiu, Lucian Mihai Itu, Lucian Calmac, Emma Weiss, Cornelia Margineanu, Elisabeta Badila, Martin Berger, Thomas Redel, Tiziano Passerini, Mehmet A. Gülsün, Puneet Sharma
Deep Neural Networks for ECG-free Cardiac Phase and End-Diastolic Frame Detection on Coronary Angiographies. CoRR (2018)
Costin Florian Ciusdel, Anamaria Vizitiu, Florin Moldoveanu, Constantin Suciu, Lucian Mihai Itu
Towards deep learning based estimation of fracture risk in osteoporosis patients. TSP (2017)
Cosmin Nita, Iulian Stroia, Lucian Mihai Itu, Constantin Suciu, Viorel Mihalef, Manasi Datar, Saikiran Rapaka, Puneet Sharma
GPU accelerated, robust method for voxelization of solid objects. HPEC (2016)
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, Dorin Comaniciu
A self-taught artificial agent for multi-physics computational model personalization. Medical Image Anal. 34 (2016)
Anamaria Vizitiu, Lucian Mihai Itu, Ranveer Joyseeree, Adrien Depeursinge, Henning Müller, Constantin Suciu
GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets. PDP (2016)
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, Dorin Comaniciu
A Self-Taught Artificial Agent for Multi-Physics Computational Model Personalization. CoRR (2016)
Cosmin Nita, Lucian Mihai Itu, Viorel Mihalef, Puneet Sharma, Saikiran Rapaka
GPU-accelerated model for fast, three-dimensional fluid-structure interaction computations. EMBC (2015)
Iulian Stroia, Lucian Mihai Itu, Cosmin Nita, Laszlo Lazar, Constantin Suciu
GPU accelerated geometric multigrid method: Comparison with preconditioned conjugate gradient. HPEC (2015)
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
Vito - A Generic Agent for Multi-physics Model Personalization: Application to Heart Modeling. MICCAI (2) (2015)
Lucian Mihai Itu, Puneet Sharma, Tiziano Passerini, Ali Kamen, Constantin Suciu, Dorin Comaniciu
A parameter estimation framework for patient-specific hemodynamic computations. J. Comput. Phys. 281 (2015)
Lucian Mihai Itu, Constantin Suciu
An external tissue support model for the arterial wall based on in vivo data. MeMeA (2014)
Lucian Mihai Itu, Puneet Sharma, Bogdan Georgescu, Ali Kamen, Constantin Suciu, Dorin Comaniciu
Model based non-invasive estimation of PV loop from echocardiography. EMBC (2014)
Lucian Mihai Itu, Constantin Suciu
A method for modeling surrounding tissue support and its global effects on arterial hemodynamics. BHI (2014)
Anamaria Vizitiu, Lucian Mihai Itu, Cosmin Nita, Constantin Suciu
Optimized three-dimensional stencil computation on Fermi and Kepler GPUs. HPEC (2014)
Weijia Chen, Lucian Mihai Itu, Puneet Sharma, Ali Kamen
Uncertainty quantification in medical image-based hemodynamic computations. ISBI (2014)
Lucian Mihai Itu, Puneet Sharma, Ali Kamen, Constantin Suciu, Dorin Comaniciu
A novel coupling algorithm for computing blood flow in viscoelastic arterial models. EMBC (2013)
Cosmin Nita, Lucian Mihai Itu, Constantin Suciu
GPU accelerated blood flow computation using the Lattice Boltzmann Method. HPEC (2013)
Viorel Mihalef, Saikiran Rapaka, Mehmet A. Gülsün, Angelo Scorza, Puneet Sharma, Lucian Mihai Itu, Ali Kamen, Alex Barker, Michael Markl, Dorin Comaniciu
Model-Based Estimation of 4D Relative Pressure Map from 4D Flow MR Images. STACOM (2013)
Lucian Mihai Itu, Puneet Sharma, Viorel Mihalef, Ali Kamen, Constantin Suciu, Dorm Lomaniciu
A patient-specific reduced-order model for coronary circulation. ISBI (2012)
Kristof Ralovich, Lucian Mihai Itu, Viorel Mihalef, Puneet Sharma, Razvan Ioan Ionasec, Dime Vitanovski, Waldemar Krawtschuk, Allen Everett, Richard Ringel, Nassir Navab, Dorin Comaniciu
Hemodynamic Assessment of Pre- and Post-operative Aortic Coarctation from MRI. MICCAI (2) (2012)
Puneet Sharma, Lucian Mihai Itu, Xudong Zheng, Ali Kamen, Dominik Bernhardt, Constantin Suciu, Dorin Comaniciu
A framework for personalization of coronary flow computations during rest and hyperemia. EMBC (2012)
Lucian Mihai Itu, Constantin Suciu, Florin Moldoveanu, Adrian Postelnicu
GPU accelerated simulation of elliptic partial differential equations. IDAACS (1) (2011)