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Nicha Dvornek, PhD

Assistant Professor

Contact Information

Nicha Dvornek, PhD

Office Location

Research Summary

My research is on the development and application of machine learning algorithms for medical image analysis and processing. My current work focuses on deep learning methods for learning from functional magnetic resonance imaging data with application to autism spectrum disorders. I am driven by the ultimate goal of better understanding neurological disorders and diseases to achieve more personalized medicine.

Coauthors

Research Interests

Autistic Disorder; Biomedical Engineering; Brain; Image Processing, Computer-Assisted; Neural Networks, Computer

Selected Publications

  • Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree BaggingDvornek, N.C., Yang, D., Venkataraman, A., Ventola, P., Staib, L.H., Pelphrey, K.A., Duncan, J.S., “Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging,” In: Sixth International Workshop on Multimodal Learning for Clinical Decision Support, 2016.

Clinical Trials

ConditionsStudy Title
Children's Health; Men's Health; Mental Health & Behavioral Research; Women's HealthACE Multisite Study of Adolescent & Adult Transitions