Three Johns Hopkins PhD students from the Neural Systems Analysis Laboratory recently presented posters at the 2018 IEEE International Symposium on Biomedical Imaging (ISBI), held April 4-7 in Washington, D.C. ISBI is a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biological and biomedical imaging, across all scales of observation.

Jeff Craley, Shimona D’Souza, and Naresh Nandakumar (all from the Department of Electrical and Computer Engineering) prepared posters and shared their research with conference attendees from around the world.

The students presented posters on:

• Jeff Craley – “Robust Seizure Detection using Coupled Hidden Markov Models”
• Shimona D’Souza – “A Generative-Discriminative Basis Learning Framework to Predict Autism Spectrum Disorder Severity”
• Naresh Nandakumar – “A Modified K-Means Algorithm for Resting State fMRI Analysis of Brain Tumor Patients as Validated by Language Localization”

The Neural Systems Analysis Laboratory (NSA Lab) at Johns Hopkins University, directed by John C. Malone Assistant Professor Archana Venkataraman, focuses on building a comprehensive and system-level understanding of the brain by strategically integrating computational methods, such as network theory, signal processing and probabilistic inference, with application-driven hypotheses about the brain. Their work will yield new insights into debilitating neurological disorders, such as autism, epilepsy and schizophrenia, with the long-term goal of improving patient care.