Personalized Pre- and Post-Operative Hemodynamic Assessment of Aortic Coarctation from 3D Rotational Angiography von Nita, Cosmin-Ioan, Puiu, Andrei, Bunescu, Daniel, Mihai Itu, Lucian, Mihalef, Viorel, Chintalapani, Gouthami, Armstrong, Aimee, Zampi, Jeffrey, Benson, Lee, Sharma, Puneet, Rapaka, Saikiran

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Towards a Deep-Learning Approach for Prediction of Fractional Flow Reserve from Optical Coherence Tomography von Hatfaludi, Cosmin-Andrei, Tache, Irina-Andra, Ciușdel, Costin Florian, Puiu, Andrei, Stoian, Diana, Itu, Lucian Mihai, Calmac, Lucian, Popa-Fotea, Nicoleta-Monica, Bataila, Vlad, Scafa-Udriste, Alexandru

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Artificial intelligence and cloud based platform for fully automated PCI guidance from coronary angiography-study protocol von Ploscaru, Vlad, Popa-Fotea, Nicoleta-Monica, Calmac, Lucian, Itu, Lucian Mihai, Mihai, Cosmin, Bataila, Vlad, Dragoescu, Bogdan, Puiu, Andrei, Cojocaru, Cosmin, Costin, Minoiu Aurelian, Scafa-Udriste, Alexandru

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Artificial intelligence and cloud based platform for fully automated PCI guidance from coronary angiography-study protocol von Vlad Ploscaru, Nicoleta-Monica Popa-Fotea, Lucian Calmac, Lucian Mihai Itu, Cosmin Mihai, Vlad Bataila, Bogdan Dragoescu, Andrei Puiu, Cosmin Cojocaru, Minoiu Aurelian Costin, Alexandru Scafa-Udriste

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A framework for validating AI in precision medicine: considerations from the European ITFoC consortium von Tsopra, Rosy, Fernandez, Xose, Luchinat, Claudio, Alberghina, Lilia, Lehrach, Hans, Vanoni, Marco, Dreher, Felix, Sezerman, O.Ugur, Cuggia, Marc, de Tayrac, Marie, Miklasevics, Edvins, Itu, Lucian Mihai, Geanta, Marius, Ogilvie, Lesley, Godey, Florence, Boldisor, Cristian Nicolae, Campillo-Gimenez, Boris, Cioroboiu, Cosmina, Ciusdel, Costin Florian, Coman, Simona, Hijano Cubelos, Oliver, Itu, Alina, Lange, Bodo, Le Gallo, Matthieu, Lespagnol, Alexandra, Mauri, Giancarlo, Soykam, H.Okan, Rance, Bastien, Turano, Paola, Tenori, Leonardo, Vignoli, Alessia, Wierling, Christoph, Benhabiles, Nora, Burgun, Anita

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Assessment of the functional severity of coronary lesions from optical coherence tomography based on ensembled learning von Tache, Irina-Andra, Hatfaludi, Cosmin-Andrei, Puiu, Andrei, Itu, Lucian Mihai, Popa-Fotea, Nicoleta-Monica, Calmac, Lucian, Scafa-Udriste, Alexandru

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Deep Neural Networks in Medical Imaging: Privacy Preservation, Image Generation and Applications von Stoian, Diana Ioana, Leonte, Horia Andrei, Vizitiu, Anamaria, Suciu, Constantin, Itu, Lucian Mihai

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Privacy Preserving Classification of EEG Data Using Machine Learning and Homomorphic Encryption von Popescu, Andreea Bianca, Taca, Ioana Antonia, Nita, Cosmin Ioan, Vizitiu, Anamaria, Demeter, Robert, Suciu, Constantin, Itu, Lucian Mihai

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Obfuscation Algorithm for Privacy-Preserving Deep Learning-Based Medical Image Analysis von Popescu, Andreea Bianca, Taca, Ioana Antonia, Vizitiu, Anamaria, Nita, Cosmin Ioan, Suciu, Constantin, Itu, Lucian Mihai, Scafa-Udriste, Alexandru

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Distinctive Morphological Patterns of Complicated Coronary Plaques in Acute Coronary Syndromes: Insights from an Optical Coherence Tomography Study von Onea, Horea-Laurentiu, Spinu, Mihail, Homorodean, Calin, Olinic, Maria, Lazar, Florin-Leontin, Ober, Mihai Claudiu, Stoian, Diana, Itu, Lucian Mihai, Olinic, Dan Mircea

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Generative Adversarial CT Volume Extrapolation for Robust Small-to-Large Field of View Registration von Puiu, Andrei, Reaungamornrat, Sureerat, Pheiffer, Thomas, Itu, Lucian Mihai, Suciu, Constantin, Ghesu, Florin Cristian, Mansi, Tommaso

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Framework for Privacy-Preserving Wearable Health Data Analysis: Proof-of-Concept Study for Atrial Fibrillation Detection von Vizitiu, Anamaria, Nita, Cosmin-Ioan, Toev, Radu Miron, Suditu, Tudor, Suciu, Constantin, Itu, Lucian Mihai

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Applications of Artificial Intelligence in Cardiovascular Emergencies – Status Quo and Outlook von Hatfaludi, Cosmin-Andrei, Danu, Manuela-Daniela, Leonte, Horia-Andrei, Popescu, Andreea-Bianca, Condrea, Florin, Aldea, Gabriela-Dorina, Sandu, Andreea-Elena, Leordeanu, Marius, Suciu, Constantin, Rodean, Ioana-Patricia, Itu, Lucian-Mihai

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Prevalence and Predictors of Renal Disease in a National Representative Sample of the Romanian Adult Population: Data from the SEPHAR IV Survey von Pop, Călin, Gheorghe Fronea, Oana Florentina, Branea, Ioana Antonia, Itu, Lucian Mihai, Darabont, Roxana, Parepa, Irinel, Benedek, Theodora, Dorobantu, Maria

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Normalizing Flows for Out-of-Distribution Detection: Application to Coronary Artery Segmentation von Ciușdel, Costin Florian, Itu, Lucian Mihai, Cimen, Serkan, Wels, Michael, Schwemmer, Chris, Fortner, Philipp, Seitz, Sebastian, Andre, Florian, Buß, Sebastian Johannes, Sharma, Puneet, Rapaka, Saikiran

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Hypertension-mediated Cardiac Damage Among Romanian Adult Hypertensive Patients: A Post-hoc Echocardiographic Analysis of the SEPHAR IV Epidemiological Survey von Vîjîiac, Aura, Cojocaru, Cosmin, Gheorghe-Fronea, Oana, Parepa, Irinel, Pop, Călin, Benedek, Theodora, Darabont, Roxana, Stănciulescu, Diana, Stănciulescu, Laura, Branea, Ioana Antonia, Vizitiu, Anamaria, Itu, Lucian Mihai, Dorobanţu, Maria

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Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition von Popescu, Andreea Bianca, Nita, Cosmin Ioan, Taca, Ioana Antonia, Vizitiu, Anamaria, Lucian Mihai Itu

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Deep learning automatically distinguishes myocarditis patients from normal subjects based on MRI von Hatfaludi, Cosmin-Andrei, Roșca, Aurelian, Popescu, Andreea Bianca, Chitiboi, Teodora, Sharma, Puneet, Benedek, Theodora, Itu, Lucian Mihai

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Applying Deep Neural Networks over Homomorphic Encrypted Medical Data von Suciu, Constantin, Puiu, Andrei, Niƫă, Cosmin Ioan, Vizitiu, Anamaria, Itu, L. M.

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Deep learning based detection of collateral circulation in coronary angiographies von Cosmin-Andrei Hatfaludi, Bunescu, Daniel, Costin, Florian Ciusdel, Serban, Alex, Bose, Karl, Oppel, Marc, Schroder, Stephanie, Seehase, Christopher, Langer, Harald F, Erdmann, Jeanette, Nording, Henry, Lucian Mihai Itu

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