N. Gaw

发表

Radiogenomics to characterize regional genetic heterogeneity in glioblastoma

Leland S. Hu, J. Sarkaria, B. O'neill, 2016, Neuro-oncology.

Accurate Classification of Chronic Migraine via Brain Magnetic Resonance Imaging

Teresa Wu, Yinlin Fu, Catherine D. Chong, 2015, Headache.

Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma

Teresa Wu, David Frakes, Leland S. Hu, 2015, PloS one.

Quantitative Imaging System for Cancer Diagnosis and Treatment Planning: An Interdisciplinary Approach

Teresa Wu, Alvin C. Silva, M. Borad, 2017 .

The Role of Tactile Information in Transfer of Learned Manipulation Following Changes in Degrees of Freedom

N. Gaw, 2014 .

Multimodal data fusion for systems improvement: A review

Mostafa Reisi Gahrooei, Safoora Yousefi, N. Gaw, 2021, IISE Transactions.

Robust coupled tensor decomposition and feature extraction for multimodal medical data

N. Gaw, Meng Zhao, M. Reisi Gahrooei, 2022, IISE Transactions on Healthcare Systems Engineering.

Methods of scanning acoustic microscopy and eddy current fusion for materials analysis

E. Blasch, J. Wertz, L. Homa, 2022, Defense + Commercial Sensing.

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

Leland S. Hu, Teresa Wu, L. Baxter, 2017 .

Migraine classification using magnetic resonance imaging resting-state functional connectivity data

Teresa Wu, Yinlin Fu, Catherine D. Chong, 2017, Cephalalgia : an international journal of headache.

The Applications of Deep Learning in Medical Imaging Diagnosis by Suryadipto Sarkar A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved June 2021 by the Graduate Supervisory Committee: Teresa Wu, Chair

Baoxin Li, Alvin C. Silva, H. Yoon, 2021 .

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

Leland S. Hu, Teresa Wu, L. Baxter, 2019, Scientific reports.

Assessing the validity of saliency maps for abnormality localization in medical imaging pdf

Ken Chang, Jayashree Kalpathy-Cramer, Mishka Gidwani, 2020, ArXiv.

A clinical decision support system using multi-modality imaging data for disease diagnosis

Teresa Wu, Todd J. Schwedt, Catherine D. Chong, 2018 .

Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density.

Ken Chang, Jayashree Kalpathy-Cramer, Laura Brink, 2020, Journal of the American College of Radiology : JACR.

Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging pdf

N. Arun, N. Gaw, P. Singh, 2020, medRxiv.

Toward Automated Instructor Pilots in Legacy Air Force Systems: Physiology-Based Flight Difficulty Classification Via Machine Learning

Phillip R. Jenkins, William N. Caballero, N. Gaw, 2022, SSRN Electronic Journal.

Is nifedipine a suitable first-line treatment for essential hypertension in general practice?

N. Gaw, F. Sullivan, J. Langan, 1987, European Heart Journal.

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

Teresa Wu, Leland S. Hu, Jennifer Eschbacher, 2019, Scientific Reports.

A novel multi-task linear mixed model for smartphone-based telemonitoring

Nathan Gaw, Hyunsoo Yoon, H. Yoon, 2021, Expert Syst. Appl..

Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.

Matthew D. Li, Praveer Singh, Jayashree Kalpathy-Cramer, 2021, Radiology. Artificial intelligence.