Nicha Dvornek, PhD

• Chi Liu
• Denis Sukhodolsky
• James Duncan
• John Onofrey
• Lawrence Staib
• MingDe Lin
• Ming-Kai Chen
• Sule Tinaz
• Xenophon Papademetris

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

• Chapter 13 Deep learning with connectomesDvornek N, Li X. Chapter 13 Deep learning with connectomes 2023, 289-308. DOI: 10.1016/b978-0-323-85280-7.00013-0.
• Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric ImagingGuo X, Wu J, Chen M, Liu Q, Onofrey J, Pucar D, Pang Y, Pigg D, Casey M, Dvornek N, Liu C. Inter-Pass Motion Correction for Whole-Body Dynamic PET and Parametric Imaging IEEE Transactions On Radiation And Plasma Medical Sciences 2022, 7: 344-353. DOI: 10.1109/trpms.2022.3227576.
• MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PETGuo X, Zhou B, Chen X, Liu C, Dvornek N. MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET 2022, 13434: 163-172. DOI: 10.1007/978-3-031-16440-8_16.
• Characterization of Early Stage Parkinson's Disease From Resting-State fMRI Data Using a Long Short-Term Memory NetworkGuo X, Tinaz S, Dvornek N. Characterization of Early Stage Parkinson's Disease From Resting-State fMRI Data Using a Long Short-Term Memory Network Frontiers In Neuroimaging 2022, 1: 952084. DOI: 10.3389/fnimg.2022.952084.
• Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal ModelingZhuang J, Dvornek N, Tatikonda S, Papademetris X, Ventola P, Duncan J. Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling 2021, 12729: 58-70. DOI: 10.1007/978-3-030-78191-0_5.
• A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder SeverityWang S, Dvornek N. A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity 2021, 00: 1338-1341. DOI: 10.1109/isbi48211.2021.9434009.
• Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content SpaceYang J, Li X, Pak D, Dvornek N, Chapiro J, Lin M, Duncan J. Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space 2020, 12444: 52-61. DOI: 10.1007/978-3-030-60548-3_6.
• Deep Learning based Respiratory Pattern Classification and Applications in PET/CT Motion CorrectionGuo Y, Dvornek N, Lu Y, Tsai Y, Hamill J, Casey M, Liu C. Deep Learning based Respiratory Pattern Classification and Applications in PET/CT Motion Correction 2019, 00: 1-5. DOI: 10.1109/nss/mic42101.2019.9059783.
• ShelfNet for Fast Semantic SegmentationZhuang J, Yang J, Gu L, Dvornek N. ShelfNet for Fast Semantic Segmentation 2019, 00: 847-856. DOI: 10.1109/iccvw.2019.00113.
• Identifying Autism from Resting-State fMRI Using Long Short-Term Memory NetworksDvornek NC, Ventola P, Pelphrey KA, Duncan JS. Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks 2017, 10541: 362-370. PMID: 29104967, PMCID: PMC5669262, DOI: 10.1007/978-3-319-67389-9_42.
• Brain responses to biological motion predict treatment outcome in young children with autismYang 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-e948. PMID: 27845779, PMCID: PMC5314125, DOI: 10.1038/tp.2016.213.
• Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorderVenkataraman A, Yang D, 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: 1081-1085. PMID: 27532879, PMCID: PMC5007196, DOI: 10.1097/wnr.0000000000000662.
• 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.
• SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstructionDvornek NC, Sigworth FJ, Tagare HD. SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstruction Journal Of Structural Biology 2015, 190: 200-214. PMID: 25839831, PMCID: PMC4453989, DOI: 10.1016/j.jsb.2015.03.009.
• Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and LabelingChitphakdithai N, Chiang VL, Duncan JS. Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling 2012, 7570: 124-136. PMID: 31187098, PMCID: PMC6559745, DOI: 10.1007/978-3-642-33555-6_11.
• Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain ImagesChitphakdithai N, Duncan JS. Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images 2010, 13: 367-374. PMID: 20879252, PMCID: PMC3031159, DOI: 10.1007/978-3-642-15705-9_45.