Johnston N, Gaw N, Wertz J, Cox B, Blasch E, Cherry M, O’Rourke S, Homa L (June 2023) Automated Registration of Polarized Light Microscopy Images Using Deep Learning Techniques. 91st Military Operations Research Symposium.
Gaw N, Barry G, Johnstone C, Jenkins P, Caballero W (May 2023) A Conformal Prediction Approach to Quantify Student Pilot Error via Multimodal Physiological Signals. 2023 IISE Annual Conference and Expo. IISE DAISSpecial Session Presentation.
Johnston N, Gaw N, Wertz J, Cox B, Blasch E, Cherry M, O’Rourke S, Homa L (April 2023) Automated Registration of Polarized Light Microscopy Images Using Deep Learning Techniques. Department of Air Force Data, Analytics, and AI Forum.
Barry G, Gaw N, Johnstone C, Jenkins P, Caballero W (April 2023) A Conformal Prediction Approach to Quantify Student Pilot Error via Multimodal Physiological Signals. Department of Air Force Data, Analytics, and AI Forum.
Gaw N (December 2022) Semi-supervised Learning to Balance Data Inclusivity and Usability. The University of Arizona Systems and Industrial Engineering Seminar Series. Invited Presentation.
Gaw N, Li J, Yoon H (October 2022) S2SSL: Simultaneous Feature and Instance Selection in Semi-Supervised Learning with Application to Smartphone-based Telemonitoring. 2022 INFORMS Annual Meeting. Invited Presentation.
Metzgar G, Gaw N (October 2022) Multimodal Fusion of Satellite and Radar to Predict Future Weather Events. 2022 INFORMS Annual Meeting. Invited Presentation.
Barry G, Gaw N, Johnstone C, Jenkins P, Caballero W (October 2022) A Conformal Prediction Approach to Quantify Pilot Error and Flight Difficulty via Multimodal Physiological Signals. 2022 INFORMS Annual Meeting. Invited Presentation.
Harvill B, Johnstone J, Gaw N (October 2022) Federated Learning on Telemonitoring of Parkinson’s Disease Patients. 2022 INFORMS Annual Meeting. Invited Presentation.
Johnston N, Wertz J, Blasch E, Cherry M, O’Rourke S, Lorenzo N, Homa L, Gaw N (October 2022) Data Fusion for Multi-scale Mixed Modality Microstructure Characterization to Find Failure Modes in Titanium Metal Armor of Aircraft. 2022 INFORMS Annual Meeting. Invited Presentation.
Byungmoo K, Gaw N (October 2022) Multimodal Modeling for Post-traumatic Headache of Student Athletes. 2022 INFORMS Annual Meeting. Invited Presentation.
Barry G, Gaw N, Johnstone C, Jenkins P, Caballero WN (August 2022) A Conformal Prediction Approach to Quantify Pilot Error and Flight Difficulty via Multimodal Physiological Signals. MIT Lincoln Laboratory.
Gaw N, Jenkins PR, Caballero WN (May 2022) A Machine Learning Approach to Quantify United States Air Force Pilot Performance through Physiological Signals. 2022 IISE Annual Conference and Expo.Invited Presentation.
Gaw N, Jenkins PR, Caballero WN, Johnstone C, Hoecherl J (April 2022) A Machine Learning Pipeline to Classify Pilot Training Flight Difficulty. 2022 Air Force Operations Research Symposium (AFORS).
Gaw N, Chong CD, Schwedt TJ, Berisha V, Wu T, Ross K, Dumkrieger G, Zhang J, Nikolova S, Li J (October 2021) Multi-modal predictive model for persistent post-traumatic headache. 2021 INFORMS Annual Meeting. Invited Presentation.
Shah J, Chong CD, Schwedt TJ, Berisha V, Li J, Ross K, Dumkrieger G, Zhang J, Gaw N, Nikolova S, Wu T (October 2021) Interpreting deep learning model predictions using Shapley values. 2021 INFORMS Annual Meeting. Invited Presentation.
Gaw N, Schwedt TJ, Dumkrieger G, Wu T, Berisha V, Nikolova S, Ross K, Li J, Chong CD (August 2021) Functional brain network alterations in post-traumatic headache: Relationship between the dorsolateral attention network and patient symptoms. 2021 Military Health System Research Symposium (MHSRS)—Cancelled due to Covid-19.
Gaw N, Schwedt TJ, Dumkrieger G, Wu T, Berisha V, Nikolova S, Ross K, Li J, Chong CD (May 2021) Functional brain network alterations in post-traumatic headache: Relationship between the dorsolateral attention network and patient symptoms. 2nd Annual HEAL Initiative Investigator Meeting.
Gaw N, Lancaster H, Perdue M, Grigorenko E, Landi N, Li J (November 2020) Bayesian integration of genetic, neuroimaging, and behavior data in studies of reading (dis)ability. 2020 INFORMS Annual Meeting. Invited Presentation.
Arun NT, Gaw N, Singh P, Chang K, Hoebel KV, Patel J, Gidwani M, Kalpathy-Cramer J (July 2020) Assessing the validity of saliency maps for abnormality localization in medical imaging. Medical Imaging with Deep Learning (MIDL) 2020.
Gaw N, Yoon H, Li J (November 2019) Simultaneous feature and instance selection in semi-supervised regression for smartphone-based telemonitoring of Parkinson’s Disease patients. 2019 INFORMS Annual Meeting. Invited presentation.
Gaw N, Li J (November 2019) Active learning for spatial brain tumor cell density prediction using multiparametric magnetic resonance imaging. 2019 INFORMS Annual Meeting. Invited presentation.
Gaw N (September 2019) Novel Semi-Supervised Learning Models to Balance Data Inclusivity and Usability in Healthcare Applications. Roche Pharmaceuticals, Ventana Medical Systems, Tucson, AZ.
Gaw N, Li J (May 2019) Feature and instance selection in semi-supervised learning (s2SSL) for smartphone-based telemonitoring of Parkinson’s Disease. 2019 IISE Annual Conference and Expo. Invited presentation.
Gaw N, Hu LS, Swanson KR, Li J (May 2019) Integration of machine learning and mechanistic models for spatial brain tumor density prediction using multiparametric magnetic resonance imaging. 2019 IISE Annual Conference and Expo. Invited presentation.
Hu LS, Gaw N, Yoon H, et al. (November 2018) Radiogenomics on Venus and Mars: Impact of sex-differences on MRI and genetic correlations in glioblastoma. 23rd Annual Scientific Meeting of the Society for Neuro-Oncology.
Gaw N, Hu LS, Swanson KR, Li J (November 2018) Integration of machine learning and mechanistic models for spatial brain tumor density prediction using multiparametric magnetic resonance imaging. 2018 INFORMS Annual Meeting. Invited presentation.
Gaw N, Hu LS, Swanson KR, Li J (November 2018) Integration of Machine Learning and Mechanistic Models for Spatial Brain Tumor Density Prediction Using Multiparametric Magnetic Resonance Imaging. Mayo Clinic Arizona. Invited seminar.
Swanson KR, Gaw N, Hawkins-Daarud A, et al. (November 2017) Radiomics of tumor invasion 2.0: combining mechanistic tumor invasion models with machine learning models to accurately predict tumor invasion in glioblastoma patients. 22nd Annual Scientific Meeting of the Society for Neuro-Oncology.
Jackson P, Gaw N, Hawkins-Daarud A, et al. (November 2017) P53 amplification modifies the glioblastoma microenvironment: differentiating the contribution of cells vs edema in the T2 weighted MRI signal. 22nd Annual Scientific Meeting of the Society for Neuro-Oncology.
Wu T, Gaw N, et al. (2017) Quantitative Imaging System for Cancer Diagnosis and Treatment Planning: An Interdisciplinary Approach. INFORMS TutORials in Operations Research 2017: pp. 153-177.
Tutorial for the 2017 INFORMS Annual Meeting
Gaw N, Schwedt TJ, Chong CD, Wu T, Li J (September 2017) A clinical decision support system using multi-modality imaging data for migraine classification. 18th Congress of the International Headache Society.
This abstract was chosen as the top 3 out of 99 submitted abstracts by doctoral students to participate in the IHC Trainees Presentation Tournament.
Chong CD, Gaw N, Fu Y, Li J, Wu T, Schwedt TJ (April 2016) Identifying migraine: building classifiers using resting-state fMRI data. 68th American Academy of Neurology Annual Meeting.
Schwedt TJ, Chong CD, Wu T, Gaw N, Fu Y, Li J (June 2015) Accurate classification of chronic migraine via brain magnetic resonance imaging. 57th Annual Scientific Meeting of the American Headache Society.
Kleim JA, Gaw N, Laitano J, Santello M (November 2013) The hand therassist to enhance upper extremity motor rehabilitation after stroke. Society for Neuroscience.
Bosco A, Fu Q, Gaw N, Fattori P, Santello M (November 2012) Role of online visual feedback on digit force-position coordination for dexterous manipulation. Society for Neuroscience.