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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.

B. Saghafi, G. Murugesan, E. Davenport, B. Wagner, J. Urban, M. Kelley, D. Jones, A. Powers, C. Whitlow, J. Stitzel, J. Maldjian, and A. Montillo. Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750E. SPIE, (2018)

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Sonia Whitlow

Christopher T F Kühl

Christopher Christopher

T Peters

T Frieberg

Other publications of authors with the same name

Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.G. Murugesan, A. Famili, E. Davenport, B. Wagner, J. Urban, M. Kelley, D. Jones, C. Whitlow, J. Stitzel, J. Maldjian and 1 other author(s). ISBI, page 464-467. IEEE, (2017)Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting.A. Wismüller, A. DSouza, A. Abidin, M. Vosoughi, C. Gange, I. Cortopassi, G. Bozovic, A. Bankier, K. Batra, Y. Chodakiewitz and 18 other author(s). npj Digit. Medicine, (2022)MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks.A. Treacher, P. Garg, E. Davenport, R. Godwin, A. Proskovec, L. Bezerra, G. Murugesan, B. Wagner, C. Whitlow, J. Stitzel and 2 other author(s). NeuroImage, (2021)Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain.S. Natarajan, B. Saha, S. Joshi, A. Edwards, T. Khot, E. Davenport, K. Kersting, C. Whitlow, and J. Maldjian. Int. J. Machine Learning & Cybernetics, 5 (5): 659-669 (2014)A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images.Q. Lyu, S. Namjoshi, E. McTyre, U. Topaloglu, R. Barcus, M. Chan, C. Cramer, W. Debinski, M. Gurcan, G. Lesser and 10 other author(s). Patterns, 3 (11): 100613 (2022)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.G. Murugesan, B. Saghafi, E. Davenport, B. Wagner, J. Urban-Hobson, M. Kelley, D. Jones, A. Powers, C. Whitlow, J. Stitzel and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750F. SPIE, (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.B. Saghafi, G. Murugesan, E. Davenport, B. Wagner, J. Urban, M. Kelley, D. Jones, A. Powers, C. Whitlow, J. Stitzel and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750E. SPIE, (2018)A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes.B. Saha, S. Natarajan, G. Kota, C. Whitlow, D. Bowden, J. Divers, B. Freedman, and J. Maldjian. ICMLA (1), page 90-95. IEEE, (2012)Vervet MRI Atlas and Label Map for Fully Automated Morphometric Analyses.J. Maldjian, J. Daunais, D. Friedman, and C. Whitlow. Neuroinformatics, 12 (4): 543-550 (2014)Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode.J. Maldjian, E. Davenport, and C. Whitlow. NeuroImage, (2014)

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Disambiguation of "Whitlow, Christopher T."