Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Conference Paper February, 2025
Geographical Insights into Suicide Mortality Through Spatial Machine Learning Conference Paper December, 2024
Explaining Health Risk Behaviors in the U.S. with Social Deprivation at Local and Regional Levels Conference Paper July, 2024
Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy Conference Paper April, 2024
Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts Conference Paper November, 2023
Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations Conference Paper November, 2023
Characterizing Quantum Classifier Utility in Natural Language Processing Workflows Conference Paper September, 2023
Unsupervised Deep Learning Image Segmentation for DNA Double Strand Breaks and Nuclei in Fluorescence Microscopy Images Conference Paper August, 2023
Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models Conference Paper December, 2022
