Publications
April 2020. Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables
November 2019. A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals
January 2019. Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics
October 2018. LEMNA: Explaining Deep Learning based Security Applications
October 2018. A ML-based Runtime System for Executing Dataflow Graphs on Heterogenous Processors
August 2018. Measuring the Mappability Spectrum of Reference Genome Assemblies
July 2018. Machine Learning Helps Identify New Drug Mechanisms in Triple-Negative Breast Cancer
March 2018. METHCOMP: A Special Purpose Compression Platform for DNA Methylation Data
January 2018. Deep Learning for Better Variant Calling for Cancer Diagnosis and Treatment
December 2017. EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms, Poster by Yogatheesan Varatharajah.
November 2017. METHCOMP: A Special Purpose Compression Platform for DNA Methylation Data
July 2017. Bringing Innovations in Systems and Analytics to the Bedside: Design of the CompGen Machine
June 2016. Efficient and Scalable Workflows for Genomic Analyses