High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization. - Ramon Casanova; Christopher T. Whitlow; Benjamin C. Wagner; Jeff Williamson; Sally A. Shumaker; Joseph A. Maldjian; Mark A. Espeland (Frontiers Neuroinformatics, 2011)

A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. - Sriraam Natarajan; Saket Joshi; Baidya Nath Saha; Adam Edwards; Tushar Khot; Elizabeth Moody; Kristian Kersting; Christopher T. Whitlow; Joseph A. Maldjian (ICMLA (1), 2012)

A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes. - Baidya Nath Saha; Sriraam Natarajan; Gopi Kota; Christopher T. Whitlow; Donald W. Bowden; Jasmin Divers; Barry I. Freedman; Joseph A. Maldjian (ICMLA (1), 2012)

Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain. - Sriraam Natarajan; Baidya Nath Saha; Saket Joshi; Adam Edwards; Tushar Khot; Elizabeth M. Davenport; Kristian Kersting; Christopher T. Whitlow; Joseph A. Maldjian (Int. J. Mach. Learn. Cybern., 2014)

Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode. - Joseph A. Maldjian; Elizabeth M. Davenport; Christopher T. Whitlow (NeuroImage, 2014)

Vervet MRI Atlas and Label Map for Fully Automated Morphometric Analyses. - Joseph A. Maldjian; James B. Daunais; David P. Friedman; Christopher T. Whitlow (Neuroinformatics, 2014)

Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates. - Joseph A. Maldjian; Carol A. Shively; Michael A. Nader; David P. Friedman; Christopher T. Whitlow (Neuroinformatics, 2016)

Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. - Gowtham Murugesan; Afarin Famili; Elizabeth M. Davenport; Benjamin C. Wagner; Jillian Urban; Mireille Kelley; Derek Jones; Christopher T. Whitlow; Joel D. Stitzel; Joseph A. Maldjian; Albert Montillo (ISBI, 2017)

Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography. - Prabhat Garg; Elizabeth M. Davenport; Gowtham Murugesan; Benjamin C. Wagner; Christopher T. Whitlow; Joseph A. Maldjian; Albert Montillo (MICCAI (3), 2017)

Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography. - Prabhat Garg; Elizabeth M. Davenport; Gowtham Murugesan; Benjamin C. Wagner; Christopher T. Whitlow; Joseph A. Maldjian; Albert Montillo (PRNI, 2017)

Erratum to: Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates. - Joseph A. Maldjian; Carol A. Shively; Michael A. Nader; David P. Friedman; Christopher T. Whitlow (Neuroinformatics, 2017)

Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players. - Gowtham Krishnan Murugesan; Behrouz Saghafi; Elizabeth M. Davenport; Benjamin C. Wagner; Jillian Urban-Hobson; Mireille Kelley; Derek Jones; Alex Powers; Christopher T. Whitlow; Joel D. Stitzel; Joseph A. Maldjian; Albert Montillo (Computer-Aided Diagnosis, 2018)

Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks. - Behrouz Saghafi; Gowtham Murugesan; Elizabeth M. Davenport; Benjamin C. Wagner; Jillian Urban; Mireille Kelley; Derek Jones; Alexander Powers; Christopher T. Whitlow; Joel D. Stitzel; Joseph A. Maldjian; Albert Montillo (Computer-Aided Diagnosis, 2018)

Multi-Contrast Super-Resolution MRI Through a Progressive Network. - Qing Lyu 003; Hongming Shan; Cole Steber; Corbin Helis; Chris Whitlow; Michael D. Chan; Ge Wang 001 (IEEE Trans. Medical Imaging, 2020)

MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks. - Alex Treacher; Prabhat Garg; Elizabeth M. Davenport; Ryan Godwin; Amy L. Proskovec; Leonardo Guimaraes Bezerra; Gowtham Murugesan; Benjamin C. Wagner; Christopher T. Whitlow; Joel D. Stitzel; Joseph A. Maldjian; Albert Montillo (NeuroImage, 2021)

SoftDropConnect (SDC) - Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis. - Qing Lyu 003; Christopher T. Whitlow; Ge Wang 001 (CoRR, 2022)

Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting. - Axel Wismüller; Adora M. DSouza; Anas Z. Abidin; M. Ali Vosoughi; Christopher Gange; Isabel O. Cortopassi; Gracijela Bozovic; Alexander A. Bankier; Kiran Batra; Yosef Chodakiewitz; Yin Xi; Christopher T. Whitlow; et al. (npj Digit. Medicine, 2022)

A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. - Qing Lyu 003; Sanjeev V. Namjoshi; Emory McTyre; Umit Topaloglu; Richard Barcus; Michael D. Chan; Christina K. Cramer; Waldemar Debinski; Metin N. Gurcan; Glenn J. Lesser; Hui-Kuan Lin; Reginald F. Munden; et al. (Patterns, 2022)

Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. - Qing Lyu 003; Josh Tan; Michael E. Zapadka; Janardhana Ponnatapura; Chuang Niu; Ge Wang 001; Kyle J. Myers; Christopher T. Whitlow (CoRR, 2023)

Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. - Qing Lyu 003; Josh Tan; Michael E. Zapadka; Janardhana Ponnatapura; Chuang Niu; Kyle J. Myers; Ge Wang 001; Christopher T. Whitlow (Vis. Comput. Ind. Biomed. Art, 2023)

Synthesizing beta-amyloid PET images from T1-weighted Structural MRI: A Preliminary Study. - Qing Lyu 003; Jin Young Kim; Jeongchul Kim; Christopher T. Whitlow (CoRR, 2024)

Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model. - Chuang Niu; Parisa Kaviani; Qing Lyu 003; Mannudeep K. Kalra; Christopher T. Whitlow; Ge Wang 001 (CoRR, 2024)

Assessing cerebrovascular reactivity (CVR) in rhesus macaques (Macaca mulatta) using a hypercapnic challenge and pseudo-continuous arterial spin labeling (pCASL). - Brendan J. Johnson; Megan E. Lipford; Richard Barcus; John D. Olson; George W. Schaaf; Rachel N. Andrews; Jeongchul Kim; Greg O. Dugan; Simon Deycmar; Colin A. Reed; Christopher T. Whitlow; J. Mark Cline (NeuroImage, 2024)

Nonhuman Primate Brain Tissue Segmentation Using a Transfer Learning Approach. - Zhen Lin; Hongyu Yuan; Richard Barcus; Qing Lyu 003; Sucheta Chakravarty; Megan E. Lipford; Carol A. Shively; Suzanne Craft; Mohammad Kawas; Jeongchul Kim; Christopher T. Whitlow (CoRR, 2025)