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Christopher T. Whitlow
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- affiliation: Wake Forest School of Medicine, Winston-Salem, NC, USA
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Journal Articles
- 2024
- [j12]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
:
Assessing cerebrovascular reactivity (CVR) in rhesus macaques (Macaca mulatta) using a hypercapnic challenge and pseudo-continuous arterial spin labeling (pCASL). NeuroImage 285: 120491 (2024) - 2023
- [j11]Qing Lyu
, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow:
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. Vis. Comput. Ind. Biomed. Art 6(1): 9 (2023) - 2022
- [j10]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
:
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting. npj Digit. Medicine 5 (2022) - [j9]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:
A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. Patterns 3(11): 100613 (2022) - 2021
- [j8]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:
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks. NeuroImage 241: 118402 (2021) - 2020
- [j7]Qing Lyu
, Hongming Shan
, Cole Steber, Corbin Helis, Chris Whitlow, Michael D. Chan, Ge Wang
:
Multi-Contrast Super-Resolution MRI Through a Progressive Network. IEEE Trans. Medical Imaging 39(9): 2738-2749 (2020) - 2017
- [j6]Joseph A. Maldjian
, Carol A. Shively, Michael A. Nader, David P. Friedman, Christopher T. Whitlow:
Erratum to: Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates. Neuroinformatics 15(1): 111 (2017) - 2016
- [j5]Joseph A. Maldjian
, Carol A. Shively, Michael A. Nader, David P. Friedman, Christopher T. Whitlow:
Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates. Neuroinformatics 14(2): 183-190 (2016) - 2014
- [j4]Sriraam Natarajan, Baidya Nath Saha, Saket Joshi, Adam Edwards
, Tushar Khot, Elizabeth M. Davenport
, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian
:
Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain. Int. J. Mach. Learn. Cybern. 5(5): 659-669 (2014) - [j3]Joseph A. Maldjian
, Elizabeth M. Davenport
, Christopher T. Whitlow:
Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode. NeuroImage 96: 88-94 (2014) - [j2]Joseph A. Maldjian
, James B. Daunais, David P. Friedman, Christopher T. Whitlow:
Vervet MRI Atlas and Label Map for Fully Automated Morphometric Analyses. Neuroinformatics 12(4): 543-550 (2014) - 2011
- [j1]Ramon Casanova, Christopher T. Whitlow, Benjamin C. Wagner, Jeff Williamson, Sally A. Shumaker, Joseph A. Maldjian
, Mark A. Espeland:
High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization. Frontiers Neuroinformatics 5: 22 (2011)
Conference and Workshop Papers
- 2018
- [c7]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:
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. Medical Imaging: Computer-Aided Diagnosis 2018: 105750F - [c6]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:
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. Medical Imaging: Computer-Aided Diagnosis 2018: 105750E - 2017
- [c5]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:
Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. ISBI 2017: 464-467 - [c4]Prabhat Garg, Elizabeth M. Davenport
, Gowtham Murugesan
, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo:
Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography. MICCAI (3) 2017: 374-381 - [c3]Prabhat Garg, Elizabeth M. Davenport
, Gowtham Murugesan
, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo:
Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography. PRNI 2017: 1-4 - 2012
- [c2]Baidya Nath Saha, Sriraam Natarajan, Gopi Kota, Christopher T. Whitlow, Donald W. Bowden, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian
:
A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes. ICMLA (1) 2012: 90-95 - [c1]Sriraam Natarajan, Saket Joshi, Baidya Nath Saha, Adam Edwards
, Tushar Khot, Elizabeth Moody
, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian
:
A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. ICMLA (1) 2012: 203-208
Informal and Other Publications
- 2023
- [i3]Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Ge Wang, Kyle J. Myers, Christopher T. Whitlow:
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. CoRR abs/2303.09038 (2023) - 2022
- [i2]Qing Lyu, Christopher T. Whitlow, Ge Wang:
SoftDropConnect (SDC) - Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis. CoRR abs/2201.08418 (2022) - 2021
- [i1]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:
A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images. CoRR abs/2110.03588 (2021)
Coauthor Index
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