Published on March 12, 2025
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Updated on March 12, 2025
Dates
from March 17, 2025 to March 18, 2025
Location
Palais de la Méditerranée, Nice
The third edition of the French Artificial Intelligence in Biomedical Imaging Conference (IABM 2025) will take place from 17 to 18 March 2025 in Nice.
The aim of the event is to bring together French players in the field, from academia, hospitals and industry.
The conference will take place from 17 to 18 March 2025 at the Hyatt Regency Palais de la Méditerranée in Nice.
A half-day session dedicated to young researchers will be held on the morning of 19 March at the Château du Parc Valrose in Nice.
Full program and detailed information
The conference will take place from 17 to 18 March 2025 at the Hyatt Regency Palais de la Méditerranée in Nice.
A half-day session dedicated to young researchers will be held on the morning of 19 March at the Château du Parc Valrose in Nice.
Keynotes speakers
- Isabelle Bloch (Sorbonne Université, CNRS, LIP6 - Paris, France): "Hybrid, explainable AI for medical image interpretation" ("IA hybride et explicable pour l'interprétation d'images médicales")
- Daniel Sage (Biomedical Imaging Group and Center for Imaging, Ecole Polytechnique Fédérale de Lausanne EPFL - Lausanne, Switzerland): "Deep Learning Model for Biomedical Image Analysis"
- Béatrice Berthon-Walker (Physics for Medicine Paris): "AI to explore ultrasound data" ("L'IA pour explorer les données ultrasonores")
- Carole Frindel (Creatis): "Multimodal fusion and deep learning for personalised therapeutic decisions" ("Fusion multimodale et apprentissage profond pour des décisions thérapeutiques personnalisées")
- Florence Forbes (Pixyl, INRIA): "Generative diffusion model and Bayesian experimental design for MRI acquisition optimisation" ("Modèle de diffusion génératif et design expérimental bayèsien pour l'optimisation de l'acquisition en IRM")
- Hervé Delingette (INRIA, Epione, 3IA Côte d'Azur Chairholder): "Uncertainty in biomedical image analysis: An inconvenient truth in the field" ("Incertitude en analyse d'images biomédicales : Une vérité terrain qui dérange")
- Jean-Philippe Thiran (EPFL): "Microstructure imaging by diffusion MRI: modeling, simulation, machine learning, application to brain imaging and more"
- Juliette Griffié (SciLifeLab): "Towards data driven interpretable analytics for microscopy with generative AI"
- Marco Lorenzi (INRIA, Epione, 3IA Côte d'Azur Chairholder): "Federated learning in healthcare: where we are, lessons learned and future prospects" ("Apprentissage fédéré en santé : où nous en sommes, leçons apprises et perspectives futures")
- Nicolas Duchateau (Creatis): "Representation learning and information fusion for the analysis of cardiac function on a population scale" ("Apprentissage de représentation et fusion d'informations pour l'analyse de la fonction cardiaque à l'échelle de la population")
- Olivier Colliot (Aramis Lab, ICM): "Reproducibility and validation: AI is an experimental science" ("Reproductibilité et validation : l’IA est une science expérimentale")
- Thomas Walter (IC, Mines Paris Tech): "Computer vision for histopathology and spatial transcriptomics" ("Vision par ordinateur pour l’histopathologie et la transcriptomique spatiale")
- Virginie Uhlmann (BioVisionCenter, ETH): "Unsupervised exploration of biological morphology in microscopy images"
- Xavier Descombes (Centre Inria d'Université Côte d'Azur): "Artificial Intelligence and Histopathology" ("Intelligence artificielle et Histopathologie")
Full program and detailed information
