Christopher T. Whitlow

25 papers Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
MCR-VQGAN: A Scalable and Cost-Effective Tau PET Synthesis Approach for Alzheimer's Disease Imaging.
CoRR
Jin Young Kim, Jeremy Hudson, Jeongchul Kim, Qing Lyu, Christopher T. Whitlow
2025 J jnl
Nonhuman Primate Brain Tissue Segmentation Using a Transfer Learning Approach.
CoRR
Zhen Lin, Hongyu Yuan, Richard Barcus, Qing Lyu, Sucheta Chakravarty, Megan E. Lipford, Carol A. Shively, Suzanne Craft, Mohammad Kawas, Jeongchul Kim, Christopher T. Whitlow
2024 J jnl
Assessing cerebrovascular reactivity (CVR) in rhesus macaques (
NeuroImage
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
2024 J jnl
Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model.
CoRR
Chuang Niu, Parisa Kaviani, Qing Lyu, Mannudeep K. Kalra, Christopher T. Whitlow, Ge Wang
2024 J jnl
Synthesizing beta-amyloid PET images from T1-weighted Structural MRI: A Preliminary Study.
CoRR
Qing Lyu, Jin Young Kim, Jeongchul Kim, Christopher T. Whitlow
2023 J jnl
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential.
CoRR
Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Ge Wang, Kyle J. Myers, Christopher T. Whitlow
2023 J jnl
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential.
Vis. Comput. Ind. Biomed. Art
Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow
2022 J jnl
A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images.
Patterns
Qing Lyu, 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, Boris C. Pasche, Kiran Kumar Solingapuram Sai, Roy E. Strowd, Stephen B. Tatter, Kounosuke Watabe, Wei Zhang, Ge Wang, Christopher T. Whitlow
2022 J jnl
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting.
npj Digit. Medicine
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, Janardhana Ponnatapura, Gary J. Wendt, Eric P. Weinberg, Larry Stockmaster, David A. Shrier, Min Chul Shin, Roshan Modi, Hao Steven Lo, Seth Kligerman, Aws Hamid, Lewis D. Hahn, Glenn M. Garcia, Jonathan H. Chung, Talissa Altes, Suhny Abbara, Anna S. Bader
2022 J jnl
SoftDropConnect (SDC) - Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis.
CoRR
Qing Lyu, Christopher T. Whitlow, Ge Wang
2021 J jnl
A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images.
CoRR
Qing Lyu, 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, Boris C. Pasche, Kiran Kumar Solingapuram Sai, Roy E. Strowd, Stephen B. Tatter, Kounosuke Watabe, Wei Zhang, Ge Wang, Christopher T. Whitlow
2021 J jnl
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks.
NeuroImage
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
2018 — conf
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.
Computer-Aided Diagnosis
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
2018 — conf
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.
Computer-Aided Diagnosis
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
2017 — conf
Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography.
PRNI
Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo
2017 — conf
Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.
ISBI
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
2017 J jnl
Erratum to: Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates.
Neuroinformatics
Joseph A. Maldjian, Carol A. Shively, Michael A. Nader, David P. Friedman, Christopher T. Whitlow
2017 — conf
Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.
MICCAI (3)
Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo
2016 J jnl
Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates.
Neuroinformatics
Joseph A. Maldjian, Carol A. Shively, Michael A. Nader, David P. Friedman, Christopher T. Whitlow
2014 J jnl
Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode.
NeuroImage
Joseph A. Maldjian, Elizabeth M. Davenport, Christopher T. Whitlow
2014 J jnl
Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain.
Int. J. Mach. Learn. Cybern.
Sriraam Natarajan, Baidya Nath Saha, Saket Joshi, Adam Edwards, Tushar Khot, Elizabeth M. Davenport, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian
2014 J jnl
Vervet MRI Atlas and Label Map for Fully Automated Morphometric Analyses.
Neuroinformatics
Joseph A. Maldjian, James B. Daunais, David P. Friedman, Christopher T. Whitlow
2012 — conf
A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain.
ICMLA (1)
Sriraam Natarajan, Saket Joshi, Baidya Nath Saha, Adam Edwards, Tushar Khot, Elizabeth Moody, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian
2012 — conf
A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes.
ICMLA (1)
Baidya Nath Saha, Sriraam Natarajan, Gopi Kota, Christopher T. Whitlow, Donald W. Bowden, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian
2011 J jnl
High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization.
Frontiers Neuroinformatics
Ramon Casanova, Christopher T. Whitlow, Benjamin C. Wagner, Jeff Williamson, Sally A. Shumaker, Joseph A. Maldjian, Mark A. Espeland