Nathan Gaw
Affiliations: | 2019 | Arizona State University, Tempe, AZ, United States |
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"Nathan Gaw"
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| Yoon H, Gaw N. (2021) A novel multi-task linear mixed model for smartphone-based telemonitoring Expert Systems With Applications. 164: 113809 |
| Gaw N, Hawkins-Daarud A, Hu LS, et al. (2019) Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI. Scientific Reports. 9: 10063 |
| Hu L, Gaw N, Yoon H, et al. (2018) NIMG-12. RADIOGENOMICS ON VENUS AND MARS: IMPACT OF SEX-DIFFERENCES ON MRI AND GENETIC CORRELATIONS IN GLIOBLASTOMA Neuro-Oncology. 20: vi178-vi178 |
| Jackson P, Gaw N, Hawkins-Daarud A, et al. (2017) NIMG-99. P53 AMPLIFICATION MODIFIES THE GLIOBLASTOMA MICROENVIRONMENT: DIFFERENTIATING THE CONTRIBUTION OF CELLS VS EDEMA IN THE T2 WEIGHTED MRI SIGNAL Neuro-Oncology. 19: vi164-vi164 |
| Swanson KR, Gaw N, Hawkins-Daarud A, et al. (2017) 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 Neuro-Oncology. 19: vi159-vi159 |
| Hu LS, Ning S, Eschbacher JM, et al. (2016) Radiogenomics to characterize regional genetic heterogeneity in glioblastoma. Neuro-Oncology |
| Chong CD, Gaw N, Fu Y, et al. (2016) Migraine classification using magnetic resonance imaging resting-state functional connectivity data. Cephalalgia : An International Journal of Headache |
| Hu LS, Ning S, Eschbacher JM, et al. (2015) Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma. Plos One. 10: e0141506 |
| Schwedt TJ, Chong CD, Wu T, et al. (2015) Accurate Classification of Chronic Migraine via Brain Magnetic Resonance Imaging. Headache. 55: 762-77 |