Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)

MARIO Challenge MICCAI 2024

Official code for Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations (MICCAI'24)

Overview of DS, Classification Tree, Regression Tree, Logistic Regression, Multiple Linear Regression, Random Forest Classifiers, p-value approach to Decision Tree, Disease Progression Models, Neural Networks and Deep Learning.

Prototypes for EHR-sequencing and temporal phenotyping. Key methods: sequence models, LSTM, attention mechanism, cluster analysis, word & document embeddings, and other NLP methods.