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Équipe de recherche :Research Team:
Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES)Image, Modeling, Analysis, GEometry, Synthesis (IMAGES)
Laboratoire :Laboratory:
Laboratoire Traitement et Communication de l'Information (LTCI)Information Processing and Communication Laboratory (LTCI)
Département :Department:
Image, Données, Signal (IDS)Image, Data, Signal (IDS)
Pietro Gori is a Professor (PhD, HDR) in artificial intelligence and medical imaging at Télécom Paris, within the IMAGES team at the LTCI laboratory. He is also a research collaborator with the CEA’s NeuroSpin laboratory.
He completed his PhD (2012-2015) at Inria, within the ARAMIS laboratory in Paris, under the supervision of Stanley Durrleman (Inria Research Fellow), Olivier Colliot (CNRS Research Director) and Nicholas Ayache (Inria Research Director). He then completed a post-doctorate (2016) at NeuroSpin (CEA), in collaboration with Édouard Duchesnay (CEA Researcher) and Jean-François Mangin (CEA Research Director). Previously, he obtained an MSc in Mathematical Modelling and Scientific Computing from DTU Copenhagen (2012) and an MSc in Biomedical Engineering from the University of Padua (2012).
In 2017, he joined Télécom Paris as an Associate Professor and obtained his HDR (Habilitation à diriger des recherches, IP Paris) in 2024. In the same year, he was promoted to Full Professor.
He contributed to the development of the free software deformetrica for statistical analysis of shapes, as well as the Clinica platform dedicated to neuroclinical imaging studies. He is currently Associate Editor for the journal Neurocomputing and regularly acts as a reviewer for conferences and journals in medical imaging (e.g. MICCAI, MIDL, ISBI, IEEE TMI, MedIA) and AI (e.g. ICLR, AISTATS, AAAI, ECCV, JMLR, TPAMI).
His research interests focus mainly on machine learning, AI, representation learning, medical imaging and computational anatomy.
Champollion : déchiffrer les plis du cerveau
Faculty Members, Modeling — 02/07/2025Des scientifiques dont Pietro Gori veulent comprendre les plis du cerveau avec leur projet d’IA générative visant à [...]
La lettre Ideas : L'apport des sciences sociales...
— 26/04/2024... sur les questions d'environnement et d'intelligence artificielle.
[Ideas] AI applied to medical imaging: what research?
Faculty Members, Modeling — 25/04/2024E. Angelini & P. Gori: How can research respond to the problems of access to data by developing effective and robust [...][Ideas] L’IA appliquée à l’imagerie médicale : quelles recherches ?
Faculty Members, Modeling — 25/04/2024Elsa Angelini et Pietro Gori : comment la recherche peut-elle répondre aux problématiques [...]La lettre Ideas : IA pour l'imagerie médicale, Communs numériques
— 12/04/2024[Ideas] L’IA appliquée à l’imagerie médicale : l'enjeu des données
Faculty Members, Modeling — 14/03/2024Elsa Angelini et Pietro Gori : quels enjeux pour accéder à la data et comment rendre l’IA [...][Ideas] AI applied to medical imaging: the data challenge
Faculty Members, Modeling — 14/03/2024Elsa Angelini & Pietro Gori: what are the challenges of accessing data and how can we make AI effective with [...]
Télécom Paris Ideas : Le mag' du numérique pour l'humain et son environnement
— 06/02/2024Un pas de côté pour explorer les avancées numériques et les défis éthiques, environnementaux et sociétaux [...]