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ORCIDVerónica Muñoz Ramírez
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Books and Theses
- 2020
[b1]Verónica Muñoz Ramírez:
Anomaly characterization in the MRI data of 'de novo 'Parkinson's patients. (Caractérisation d'anomaliessur les données IRM des patients Parkinsoniens 'de novo'). Grenoble Alpes University, France, 2020
Journal Articles
- 2022
- [j1]Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Sara Meoni, Elena Moro, Michel Dojat
:
Subtle anomaly detection: Application to brain MRI analysis of de novo Parkinsonian patients. Artif. Intell. Medicine 125: 102251 (2022)
Conference and Workshop Papers
- 2021
- [c4]Verónica Muñoz Ramírez, Nicolas Pinon, Florence Forbes, Carole Lartizien, Michel Dojat:
Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients. MLCN@MICCAI 2021: 34-43 - 2020
- [c3]Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Michel Dojat:
Deep Learning Models to Study the Early Stages of Parkinson's Disease. ISBI 2020: 1534-1537 - 2019
- [c2]Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat:
Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. ISBI 2019: 1572-1575 - [c1]Verónica Muñoz Ramírez, Florence Forbes, Pierrick Coupé, Michel Dojat:
No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients. MedInfo 2019: 268-272
Coauthor Index
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