Verónica Muñoz Ramírez

According to our database, Verónica Muñoz Ramírez authored at least 6 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Subtle anomaly detection: Application to brain MRI analysis of <i>de novo</i> Parkinsonian patients.

Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Sara Meoni, Elena Moro, Michel Dojat

Artif. Intell. Medicine, 2022

2021

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

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

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

PhD thesis, 2020

Deep Learning Models to Study the Early Stages of Parkinson's Disease.

Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Michel Dojat

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients.

Verónica Muñoz Ramírez, Florence Forbes, Pierrick Coupé, Michel Dojat

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients.

Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019