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Principal Investigator  
Principal Investigator's Name: Benjamin Lambert
Institution: Pixyl Medical
Department: Deep learning
Proposed Analysis: We propose to study anomaly detection in brain MRI using Deep Learning. Our method is based on the unsupervised training of a Variational Autoencoder. We train the network to reconstruct healthy brain FLAIR scans to learn the distribution of healthy subjects. Anomalies are then detected as outliers of the distribution. For this work, a dataset of healthy patient is needed, therefore we propose to use FLAIR scans from the Control Normal group of the ADNI database (< 50 scans). Anomaly detection will then be tested on a private dataset composed of Multiple-Sclerosis patients. Results will be presented in a short paper.
Additional Investigators