2017

1. A 3D convolutional neural network approach for the diagnosis of Parkinson’s disease

   Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2. A heavy tailed expectation maximization hidden markov random field model with applications to segmentation of MRI

   Frontiers in Neuroinformatics, Vol. 11

3. Automatic separation of parkinsonian patients and control subjects based on the striatal morphology

   Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

4. Evaluating Alzheimer’s disease diagnosis using texture analysis

   Communications in Computer and Information Science

5. Functional brain imaging synthesis based on image decomposition and kernel modeling: Application to neurodegenerative diseases

   Frontiers in Neuroinformatics, Vol. 11

6. On a heavy-tailed intensity normalization of the parkinson’s progression markers initiative brain database

   Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)