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Anatomical priors for multi-organ segmentation of 3D medical images using Segment Anything Model (SAM) foundation models: applications to abdominal and dental segmentation

Ingénieur de recherche en développement et déploiement d'applications pour le projet ChroniCardio

Master internship: Self-supervised Learning for SPECT reconstruction

Prototype-based unsupervised anomaly detection for pathology detection on 3D brain MRI

Stage M2, PFE ou équivalent (F/M) «Text-Guided 3D MRI Segmentation with the Segment Anything Model»

Optimisation of the GATE track length estimator for prompt γ emission in hadron therapy (p, He, C)

Cover publication in IEEE JSTQE: Hyperspectral Imaging in Neurosurgery

Dosimétrie simplifiée en radiothérapie interne vectorisée au 177Lu-PSMA : prédiction de la réponse au traitement à partir de la dose et d’un modèle de machine learning.

Spectral Speckle-Based X-Ray Phase Contrast Imaging

Federated learning in neuroimage segmentation

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