Migraine classification using magnetic resonance imaging resting-state functional connectivity data
Chong, Catherine D, Gaw, Nathan, Fu, Yinlin, Li, Jing, Wu, Teresa, Schwedt, Todd J
Published in Cephalalgia (01.08.2017)
Published in Cephalalgia (01.08.2017)
Get full text
Journal Article
Accurate Classification of Chronic Migraine via Brain Magnetic Resonance Imaging
Schwedt, Todd J., Chong, Catherine D., Wu, Teresa, Gaw, Nathan, Fu, Yinlin, Li, Jing
Published in Headache (01.06.2015)
Published in Headache (01.06.2015)
Get full text
Journal Article
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma
Hu, Leland S, Ning, Shuluo, Eschbacher, Jennifer M, Baxter, Leslie C, Gaw, Nathan, Ranjbar, Sara, Plasencia, Jonathan, Dueck, Amylou C, Peng, Sen, Smith, Kris A, Nakaji, Peter, Karis, John P, Quarles, C Chad, Wu, Teresa, Loftus, Joseph C, Jenkins, Robert B, Sicotte, Hugues, Kollmeyer, Thomas M, O'Neill, Brian P, Elmquist, William, Hoxworth, Joseph M, Frakes, David, Sarkaria, Jann, Swanson, Kristin R, Tran, Nhan L, Li, Jing, Mitchell, J Ross
Published in Neuro-oncology (Charlottesville, Va.) (01.01.2017)
Published in Neuro-oncology (Charlottesville, Va.) (01.01.2017)
Get full text
Journal Article
Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma
Hu, Leland S, Ning, Shuluo, Eschbacher, Jennifer M, Gaw, Nathan, Dueck, Amylou C, Smith, Kris A, Nakaji, Peter, Plasencia, Jonathan, Ranjbar, Sara, Price, Stephen J, Tran, Nhan, Loftus, Joseph, Jenkins, Robert, O'Neill, Brian P, Elmquist, William, Baxter, Leslie C, Gao, Fei, Frakes, David, Karis, John P, Zwart, Christine, Swanson, Kristin R, Sarkaria, Jann, Wu, Teresa, Mitchell, J Ross, Li, Jing
Published in PloS one (24.11.2015)
Published in PloS one (24.11.2015)
Get full text
Journal Article
Implementing Efficient Dynamic Threat Avoidance Routing Based on Dijkstra's Shortest Path Algorithm in the Advanced Framework for Simulation, Integration, and Modeling (AFSIM)
Reid, Dante C., Champagne, Lance E., Gaw, Nathan B.
Published in 2023 Winter Simulation Conference (WSC) (10.12.2023)
Published in 2023 Winter Simulation Conference (WSC) (10.12.2023)
Get full text
Conference Proceeding
Garbage In ≠ Garbage Out: Exploring GAN Resilience to Image Training Set Degradations
Crino, Nicholas, Cox, Bruce A., Gaw, Nathan B.
Published in Expert systems with applications (15.09.2024)
Published in Expert systems with applications (15.09.2024)
Get full text
Journal Article
A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring
Gaw, Nathan, Li, Jing, Yoon, Hyunsoo
Published in IEEE transactions on automation science and engineering (01.01.2024)
Published in IEEE transactions on automation science and engineering (01.01.2024)
Get full text
Journal Article
Toward automated instructor pilots in legacy Air Force systems: Physiology-based flight difficulty classification via machine learning
Caballero, William N., Gaw, Nathan, Jenkins, Phillip R., Johnstone, Chancellor
Published in Expert systems with applications (30.11.2023)
Published in Expert systems with applications (30.11.2023)
Get full text
Journal Article
Responsible machine learning for United States Air Force pilot candidate selection
Wasilefsky, Devin, Caballero, William N., Johnstone, Chancellor, Gaw, Nathan, Jenkins, Phillip R.
Published in Decision Support Systems (01.05.2024)
Published in Decision Support Systems (01.05.2024)
Get full text
Journal Article
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
Arun, Nishanth, Gaw, Nathan, Singh, Praveer, Chang, Ken, Aggarwal, Mehak, Chen, Bryan, Hoebel, Katharina, Gupta, Sharut, Patel, Jay, Gidwani, Mishka, Adebayo, Julius, Li, Matthew D, Kalpathy-Cramer, Jayashree
Published in Radiology. Artificial intelligence (01.11.2021)
Published in Radiology. Artificial intelligence (01.11.2021)
Get full text
Journal Article
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI
Gaw, Nathan, Hawkins-Daarud, Andrea, Hu, Leland S., Yoon, Hyunsoo, Wang, Lujia, Xu, Yanzhe, Jackson, Pamela R., Singleton, Kyle W., Baxter, Leslie C., Eschbacher, Jennifer, Gonzales, Ashlyn, Nespodzany, Ashley, Smith, Kris, Nakaji, Peter, Mitchell, J. Ross, Wu, Teresa, Swanson, Kristin R., Li, Jing
Published in Scientific reports (11.07.2019)
Published in Scientific reports (11.07.2019)
Get full text
Journal Article
Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density
Chang, Ken, Beers, Andrew L., Brink, Laura, Patel, Jay B., Singh, Praveer, Arun, Nishanth T., Hoebel, Katharina V., Gaw, Nathan, Shah, Meesam, Pisano, Etta D., Tilkin, Mike, Coombs, Laura P., Dreyer, Keith J., Allen, Bibb, Agarwal, Sheela, Kalpathy-Cramer, Jayashree
Published in Journal of the American College of Radiology (01.12.2020)
Published in Journal of the American College of Radiology (01.12.2020)
Get full text
Journal Article
NIMG-74. RADIOMICS OF TUMOR INVASION 2.0: COMBINING MECHANISTIC TUMOR INVASION MODELS WITH MACHINE LEARNING MODELS TO ACCURATELY PREDICT TUMOR INVASION IN HUMAN GLIOBLASTOMA PATIENTS
Swanson, Kristin R, Gaw, Nathan, Hawkins-Daarud, Andrea, Jackson, Pamela R, Singleton, Kyle W, DeGirolamo, Lauren, Eschbacher, Jennifer, Baxter, Leslie, Smith, Kris, Nakaji, Peter, McGee, Samuel, Clark-Swanson, Kamala, Bendok, Bernard, Dueck, Amylou, Wu, Teresa, Li, Jing, Hu, Leland
Published in Neuro-oncology (Charlottesville, Va.) (06.11.2017)
Published in Neuro-oncology (Charlottesville, Va.) (06.11.2017)
Get full text
Journal Article
NIMG-99. P53 AMPLIFICATION MODIFIES THE GLIOBLASTOMA MICROENVIRONMENT: DIFFERENTIATING THE CONTRIBUTION OF CELLS VS EDEMA IN THE T2 WEIGHTED MRI SIGNAL
Jackson, Pamela, Gaw, Nathan, Hawkins-Daarud, Andrea, DeGirolamo, Lauren, Baxter, Leslie, Smith, Kris, Nakaji, Peter, McGee, Samuel, Clark-Swanson, Kamala, Bendok, Bernard, Wu, Teresa, Hu, Leland, Li, Jing, Swanson, Kristin
Published in Neuro-oncology (Charlottesville, Va.) (06.11.2017)
Published in Neuro-oncology (Charlottesville, Va.) (06.11.2017)
Get full text
Journal Article
NIMG-12. RADIOGENOMICS ON VENUS AND MARS: IMPACT OF SEX-DIFFERENCES ON MRI AND GENETIC CORRELATIONS IN GLIOBLASTOMA
Hu, Leland, Gaw, Nathan, Yoon, Hyunsoo, Eschbacher, Jennifer, C. Baxter, Leslie, A. Smith, Kris, Nakaji, Peter, P. Karis, John, Whitmire, Paula, Hawkins-Daarud, Andrea, Singleton, Kyle, Jackson, Pamela, Christine Massey, Susan, Bendok, Bernard, Mitchell, Joseph, Wu, Teresa, Tran, Nhan, Rubin, Joshua, Swanson, Kristin, Li, Jing
Published in Neuro-oncology (Charlottesville, Va.) (05.11.2018)
Published in Neuro-oncology (Charlottesville, Va.) (05.11.2018)
Get full text
Journal Article
NIMG-05. RADIOGENOMICS TO CHARACTERIZE REGIONAL GENETIC HETEROGENEITY IN GLIOBLASTOMA
Hu, Leland, Ning, Shuluo, Eschbacher, Jennifer, Baxter, Leslie, Gaw, Nathan, Ranjbar, Sara, Plasencia, Jonathan, Dueck, Amylou, Peng, Sen, Smith, Kris, Nakaji, Peter, Karis, John, Quarles, Christopher, Wu, Teresa, Loftus, Joseph, Jenkins, Robert, Sicotte, Hugues, Kollmeyer, Thomas, O’Neill, Brian, Elmquist, William, Hoxworth, Joseph, Frakes, David, Sarkaria, Jann, Swanson, Kristin, Tran, Nhan, Li, Jing, Mitchell, Ross
Published in Neuro-oncology (Charlottesville, Va.) (01.11.2016)
Published in Neuro-oncology (Charlottesville, Va.) (01.11.2016)
Get full text
Journal Article