Projects

End-to-end machine learning projects with real-world impact.

RieMAE: Self-Supervised Riemannian Autoencoder for Prostate Cancer Detection

RieMAE: Self-Supervised Riemannian Autoencoder for Prostate Cancer Detection

Self-supervised framework using Riemannian masked autoencoders and SPD covariance descriptors to classify clinically significant prostate cancer from MRI.

Medical ImagingSelf-Supervised LearningRiemannian Deep LearningMRI+1
A Self-Supervised Deep Riemannian Representation to Classify Parkinsonian Fixational Patterns

A Self-Supervised Deep Riemannian Representation to Classify Parkinsonian Fixational Patterns

Self-supervised framework using Riemannian autoencoders and SPD covariance descriptors to identify Parkinson's Disease from non-invasive oculomotor fixation video.

Medical ImagingSelf-Supervised LearningRiemannian Deep LearningParkinson's Disease+1