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Research
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Physiology-Based Flight Difficulty Classification
Physiology-Based Flight Difficulty Classification
Leveraging multimodal data from a designed experiment of pilots landing a simulated aircraft to predict flight difficulty.
Persistent Post-Traumatic Headache: Mechanisms, Predictors, and Prevention
Persistent Post-Traumatic Headache: Mechanisms, Predictors, and Prevention
Developing statistical models for several datasets pertaining to mechanisms, predictors, and prevention of persistent post-traumatic headache (PPTH).
Smartphone-based Telemonitoring of Parkinson's Disease Patients
Smartphone-based Telemonitoring of Parkinson's Disease Patients
Predicting severity of Parkinson's Disease from smartphone-based features using feature + instance selection in semi-supervised regression.
Brain Tumor Cell Density Prediction Using Magnetic Resonance Imaging
Brain Tumor Cell Density Prediction Using Magnetic Resonance Imaging
Predicting glioblastoma brain tumor spatial cell density from multiparametric magnetic resonance images (MRI) using hybrid machine learning + mechanistic models (knowledge + data-driven).
Evaluating the (Un)Trustworthiness of Saliency Maps in Medical Imaging
Evaluating the (Un)Trustworthiness of Saliency Maps in Medical Imaging
Developing a comprehensive framework to objectively examine the quality of saliency maps generated from deep learning models trained on medical images in four key areas: 1) localization utility, 2) sensitivity to model weight randomization, 3) repeatability and 4) reproducibility.
Migraine Classification Using Multimodality Magnetic Resonance Imaging
Migraine Classification Using Multimodality Magnetic Resonance Imaging
Integrating magnetic resonance images at different aggregation levels (e.g., ROI-wise, voxel-wise, etc.) into an accurate, interpretable model to predict migraine patient diagnosis.
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