Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. - Verónica Muñoz Ramírez; Florence Forbes; Julyan Arbel; Alexis Arnaud; Michel Dojat (ISBI, 2019)

No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients. - Verónica Muñoz Ramírez; Florence Forbes; Pierrick Coupé; Michel Dojat (MedInfo, 2019)

Deep Learning Models to Study the Early Stages of Parkinson's Disease. - Verónica Muñoz Ramírez; Virgilio Kmetzsch; Florence Forbes; Michel Dojat (ISBI, 2020)

Anomaly characterization in the MRI data of 'de novo 'Parkinson's patients. (Caractérisation d'anomaliessur les données IRM des patients Parkinsoniens 'de novo'). - Verónica Muñoz Ramírez (2020)

Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients. - Verónica Muñoz Ramírez; Nicolas Pinon; Florence Forbes; Carole Lartizien; Michel Dojat (MLCN@MICCAI, 2021)

Subtle anomaly detection: Application to brain MRI analysis of de novo Parkinsonian patients. - Verónica Muñoz Ramírez; Virgilio Kmetzsch; Florence Forbes; Sara Meoni; Elena Moro; Michel Dojat (Artif. Intell. Medicine, 2022)