Nicha Dvornek, PhD

Assistant Professor

Research Departments & Organizations

Radiology & Biomedical Imaging: Bioimaging Sciences: Image Processing & Analysis Group

Research Interests

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

Selected Publications

  • Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks.

    Dvornek NC, Ventola P, Pelphrey KA, Duncan JS. Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. Machine Learning In Medical Imaging. MLMI (Workshop) 2017, 10541:362-370. 2017

  • Brain responses to biological motion predict treatment outcome in young children with autism.

    Yang D, Pelphrey KA, Sukhodolsky DG, Crowley MJ, Dayan E, Dvornek NC, Venkataraman A, Duncan J, Staib L, Ventola P. Brain responses to biological motion predict treatment outcome in young children with autism. Translational Psychiatry 2016, 6:e948. 2016

  • Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging

    Dvornek, 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. 2016

  • Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorder.

    Venkataraman A, Yang DY, Dvornek N, Staib LH, Duncan JS, Pelphrey KA, Ventola P. Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorder. Neuroreport 2016, 27:1081-5. 2016

  • SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstruction.

    Dvornek NC, Sigworth FJ, Tagare HD. SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstruction. Journal Of Structural Biology 2015, 190:200-14. 2015

  • Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling

    Chitphakdithai, N., Chiang, V.L., and Duncan, J.S., “Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling,” In: 2nd International Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, Lecture Notes in Computer Science vol. 7570, pp. 124-136, 2012. 2012

  • Non-rigid registration with missing correspondences in preoperative and postresection brain images.

    Chitphakdithai N, Duncan JS. Non-rigid registration with missing correspondences in preoperative and postresection brain images. Medical Image Computing And Computer-assisted Intervention : MICCAI ... International Conference On Medical Image Computing And Computer-Assisted Intervention 2010, 13:367-74. 2010

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