| 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 | 214 | 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), e200267, 2021 | 197 | 2021 |
| 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 | 131 | 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 | 129 | 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 | 113 | 2017 |
| 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), 10063, 2019 | 82 | 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 | 43 | 2020 |
| Multimodal data fusion for systems improvement: A review N Gaw, S Yousefi, MR Gahrooei Handbook of Scholarly Publications from the Air Force Institute of …, 2022 | 33 | 2022 |
| 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 | 23 | 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 | 16 | 2018 |
| A novel multi-task linear mixed model for smartphone-based telemonitoring H Yoon, N Gaw Expert Systems with Applications 164, 113809, 2021 | 13 | 2021 |
| Assessing the (Un) Trustworthiness of saliency maps for localizing abnormalities in medical imaging. arXiv N Arun, N Gaw, P Singh, K Chang, M Aggarwal, B Chen arXiv preprint arXiv:2008.02766, 2020 | 9 | 2020 |
| Toward automated instructor pilots in legacy air force systems: Physiology-based flight difficulty classification via machine learning WN Caballero, N Gaw, PR Jenkins, C Johnstone Expert Systems with Applications 231, 120711, 2023 | 7 | 2023 |
| 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 | 6 | 2017 |
| 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 | 3 | 2022 |
| 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 | 3 | 2017 |
| H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses H Gu, N Gaw, Y Wang, C Johnstone, C Beauchene, S Yuditskaya, H Rao, ... arXiv preprint arXiv:2401.02905, 2024 | 1 | 2024 |
| Robust coupled tensor decomposition and feature extraction for multimodal medical data M Zhao, M Reisi Gahrooei, N Gaw IISE Transactions on Healthcare Systems Engineering 13 (2), 117-131, 2023 | 1 | 2023 |
| Novel Semi-Supervised Learning Models to Balance Data Inclusivity and Usability in Healthcare Applications N Gaw Arizona State University, 2019 | 1 | 2019 |
| Garbage In≠ Garbage Out: Exploring GAN resilience to image training set degradations N Crino, BA Cox, NB Gaw Expert Systems with Applications, 123902, 2024 | | 2024 |
Teresa WuProfessor, School of Computing and Augmented IntelligenceVerified email at asu.edu
