Heidi A. Hanson

According to our database, Heidi A. Hanson authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Can human clinical rationales improve the performance and explainability of clinical text classification models?

Christoph Metzner, Shang Gao, Drahomira Herrmannova, Heidi A. Hanson

CoRR, July, 2025

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification.

Payel Bhattacharjee, Fengwei Tian, Ravi Tandon, Joseph Y. Lo, Heidi A. Hanson, Geoffrey Rubin, Nirav Merchant, John Gounley

CoRR, June, 2025

Radon Exposure Dataset.

Dakotah Maguire, Jeremy Logan, Heechan Lee, Heidi A. Hanson

CoRR, May, 2025

A Perspective on Data and Privacy for AI in Healthcare [Industrial and Governmental Activities].

John Gounley, Heidi A. Hanson

IEEE Comput. Intell. Mag., May, 2025

Global explainability of a deep abstaining classifier.

Sayera Dhaubhadel, Jamaludin Mohd-Yusof, Benjamin H. McMahon, Trilce Estrada, Kumkum Ganguly, Adam Spannaus, John P. Gounley, Xiao-Cheng Wu, Eric B. Durbin, Heidi A. Hanson, Tanmoy Bhattacharya

CoRR, April, 2025

CAFE AU LAIT: Compute-Aware Federated Augmented Low-Rank AI Training.

Jiayi Wang, John Gounley, Heidi A. Hanson

Proceedings of the Platform for Advanced Scientific Computing Conference, 2025

Data Assimilation for Robust UQ Within Agent-Based Simulation on HPC Systems.

Adam Spannaus, Sifat Afroj Moon, John Gounley, Heidi A. Hanson

Proceedings of the Platform for Advanced Scientific Computing Conference, 2025

2024

Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation.

Christoph S. Metzner, Shang Gao, Drahomira Herrmannova, Elia Lima-Walton, Heidi A. Hanson

IEEE J. Biomed. Health Informatics, April, 2024

Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy.

Hong-Jun Yoon, Chris Keum, Alexander Witkowski, Joanna Ludzik, Tracy Petrie, Heidi A. Hanson, Sancy A. Leachman

CoRR, 2024

Topological Interpretability for Deep Learning.

Adam Spannaus, Heidi A. Hanson, Georgia D. Tourassi, Lynne Penberthy

Proceedings of the Platform for Advanced Scientific Computing Conference, 2024

2023

FrESCO: Framework for Exploring Scalable Computational Oncology.

Adam Spannaus, John Gounley, Mayanka Chandra Shekar, Zachary R. Fox, Jamaludin Mohd-Yusof, Noah Schaefferkoetter, Heidi A. Hanson

J. Open Source Softw., October, 2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

CoRR, 2023

Medication Knowledge Graph Analysis Using the PageRank Algorithm.

S. M. Shamimul Hasan, Alina Peluso, Heidi A. Hanson, Anuj J. Kapadia

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2021

Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse.

Jeremy Logan, Greeshma A. Agasthya, Heidi A. Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj J. Kapadia

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021