Nathan Gaw
Cited by
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Radiogenomics to characterize regional genetic heterogeneity in glioblastoma
LS Hu, S Ning, JM Eschbacher, LC Baxter, N Gaw, S Ranjbar, J Plasencia, ...
Neuro-oncology 19 (1), 128-137, 2017
Multi-parametric MRI and texture analysis to visualize spatial histologic heterogeneity and tumor extent in glioblastoma
LS Hu, S Ning, JM Eschbacher, N Gaw, AC Dueck, KA Smith, P Nakaji, ...
PloS one 10 (11), e0141506, 2015
Accurate classification of chronic migraine via brain magnetic resonance imaging
TJ Schwedt, CD Chong, T Wu, N Gaw, Y Fu, J Li
Headache: The Journal of Head and Face Pain 55 (6), 762-777, 2015
Migraine classification using magnetic resonance imaging resting-state functional connectivity data
CD Chong, N Gaw, Y Fu, J Li, T Wu, TJ Schwedt
Cephalalgia 37 (9), 828-844, 2017
Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imaging
N Arun, N Gaw, P Singh, K Chang, M Aggarwal, B Chen, K Hoebel, ...
Radiology: Artificial Intelligence 3 (6), 2021
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI
N Gaw, A Hawkins-Daarud, LS Hu, H Yoon, L Wang, Y Xu, PR Jackson, ...
Scientific reports 9 (1), 1-9, 2019
Multi-institutional assessment and crowdsourcing evaluation of deep learning for automated classification of breast density
K Chang, AL Beers, L Brink, JB Patel, P Singh, NT Arun, KV Hoebel, ...
Journal of the American College of Radiology 17 (12), 1653-1662, 2020
Assessing the validity of saliency maps for abnormality localization in medical imaging
NT Arun, N Gaw, P Singh, K Chang, KV Hoebel, J Patel, M Gidwani, ...
arXiv preprint arXiv:2006.00063, 2020
A clinical decision support system using multi-modality imaging data for disease diagnosis
N Gaw, TJ Schwedt, CD Chong, T Wu, J Li
IISE Transactions on Healthcare Systems Engineering 8 (1), 36-46, 2018
A novel multi-task linear mixed model for smartphone-based telemonitoring
H Yoon, N Gaw
Expert Systems with Applications 164, 113809, 2021
Multimodal data fusion for systems improvement: A review
N Gaw, S Yousefi, MR Gahrooei
IISE Transactions 54 (11), 1098-1116, 2022
Quantitative imaging system for cancer diagnosis and treatment planning: An interdisciplinary approach
T Wu, N Gaw, Y Xu, J Li, L Wang, Y Fu, A Silva, C Zwart, M Borad, ...
Leading Developments from INFORMS Communities, 153-177, 2017
Methods for Using Machine Learning and Mechanistic Models for Biological Feature Mapping with Multiparametric MRI
LS Hu, J Li, KR Swanson, T Wu, N Gaw, H Yoon, A Hawkins-Daarud
US Patent App. 16/764,837, 2020
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 …
KR Swanson, N Gaw, A Hawkins-Daarud, PR Jackson, KW Singleton, ...
Neuro-Oncology 19 (Suppl 6), vi159, 2017
Novel Semi-Supervised Learning Models to Balance Data Inclusivity and Usability in Healthcare Applications
N Gaw
Arizona State University, 2019
Multimodal Data Fusion for Systems Improvement
N Gaw, S Yousefi, MR Gahrooei
Handbook of Scholarly Publications from the Air Force Institute of …, 2022
A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring
N Gaw, J Li, H Yoon
IEEE Transactions on Automation Science and Engineering, 2022
Robust Coupled Tensor Decomposition and Feature Extraction for Multimodal Medical Data
M Zhao, M Reisi Gahrooei, N Gaw
IISE Transactions on Healthcare Systems Engineering, 1-33, 2022
Methods of scanning acoustic microscopy and eddy current fusion for materials analysis
J Wertz, E Blasch, M Cherry, S O'Rourke, T Scarnati, N Lorenzo, L Homa, ...
Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI …, 2022
Assessing the validity of saliency maps for abnormality localization in medical imaging
N Thumbavanam Arun, N Gaw, P Singh, K Chang, K Viktoria Hoebel, ...
arXiv e-prints, arXiv: 2006.00063, 2020
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