Christopher T. Whitlow
Affiliations:- Wake Forest School of Medicine, Winston-Salem, NC, USA
According to our database1,
Christopher T. Whitlow
authored at least 21 papers
between 2011 and 2024.
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Bibliography
2024
Assessing cerebrovascular reactivity (CVR) in rhesus macaques (<i>Macaca mulatta</i>) using a hypercapnic challenge and pseudo-continuous arterial spin labeling (pCASL).
NeuroImage, January, 2024
2023
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential.
Vis. Comput. Ind. Biomed. Art, 2023
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential.
CoRR, 2023
2022
A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images.
Patterns, 2022
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting.
npj Digit. Medicine, 2022
SoftDropConnect (SDC) - Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis.
CoRR, 2022
2021
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks.
NeuroImage, 2021
2020
IEEE Trans. Medical Imaging, 2020
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.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
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.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Erratum to: Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates.
Neuroinformatics, 2017
Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Neuroinformatics, 2016
2014
Neuroinformatics, 2014
Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode.
NeuroImage, 2014
Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain.
Int. J. Mach. Learn. Cybern., 2014
2012
A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2011
High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization.
Frontiers Neuroinformatics, 2011