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Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior

Year: 2026

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-032-38091-3_61

Authors: Hugues Roy, Reuben Dorent, Ninon Burgos

Institutions: Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Inserm, Sorbonne Université, Assistance Publique – Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Institut du Cerveau

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Alzheimer's Disease Neuroimaging Initiative, European Commission, Agence Nationale de la Recherche, Grand Équipement National De Calcul Intensif, National Institutes of Health, HORIZON EUROPE Framework Programme

Awards: G1258743643, PR[AI]RIE-PSAI - Paris School of Artificial Intelligence, G3103753459, G4079001475, G5775613034, PaRis Artificial Intelligence Research InstitutE, Center for Artificial Intelligence and Quantum Computing in System Brain Research, G7080048889, G8052140988, G9000055340

OpenAlex ID: W7213384286

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