Heidi A. Hanson

22 papers Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deformable phrase level attention: A flexible approach for improving AI based medical coding.
Artif. Intell. Medicine
Christoph Metzner, Shang Gao, Drahomira Herrmannova, John Gounley, Heidi A. Hanson
2026 J jnl
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification.
IEEE Access
Payel Bhattacharjee, Fengwei Tian, Geoffrey D. Rubin, Joseph Y. Lo, Nirav C. Merchant, Heidi A. Hanson, John Gounley, Ravi Tandon
2026 J jnl
Resource-Adaptive Federated Text Generation with Differential Privacy.
CoRR
Jiayi Wang, John Gounley, Heidi A. Hanson
2026 — conf
STAMP: Selective Task-Aware Mechanism for Text Privacy.
EACL (Volume 1: Long Papers)
Fengwei Tian, Payel Bhattacharjee, Heidi A. Hanson, Geoffrey D. Rubin, Joseph Y. Lo, Ravi Tandon
2026 J jnl
STAMP: Selective Task-Aware Mechanism for Text Privacy.
CoRR
Fengwei Tian, Payel Bhattacharjee, Heidi A. Hanson, Geoffrey D. Rubin, Joseph Y. Lo, Ravi Tandon
2025 J jnl
A Perspective on Data and Privacy for AI in Healthcare [Industrial and Governmental Activities].
IEEE Comput. Intell. Mag.
John Gounley, Heidi A. Hanson
2025 — conf
CAFE AU LAIT: Compute-Aware Federated Augmented Low-Rank AI Training.
PASC
Jiayi Wang, John Gounley, Heidi A. Hanson
2025 J jnl
Can human clinical rationales improve the performance and explainability of clinical text classification models?
CoRR
Christoph Metzner, Shang Gao, Drahomira Herrmannova, Heidi A. Hanson
2025 — conf
Data Assimilation for Robust UQ Within Agent-Based Simulation on HPC Systems.
PASC
Adam Spannaus, Sifat Afroj Moon, John Gounley, Heidi A. Hanson
2025 J jnl
Global explainability of a deep abstaining classifier.
CoRR
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
2025 J jnl
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification.
CoRR
Payel Bhattacharjee, Fengwei Tian, Ravi Tandon, Joseph Y. Lo, Heidi A. Hanson, Geoffrey D. Rubin, Nirav C. Merchant, John Gounley
2025 — conf
Multi-Label Classification with Constraint-Based Learning for Hierarchical Consistency.
CAI
Abhishek Shivanna, Heidi A. Hanson, John Gounley, Adam Spannaus
2025 — conf
Position-Enhanced Gradient Attack (PEGA) on Medical Language Models.
MMAsia
Nuo Xu, Christopher Stanley, John Gounley, Heidi A. Hanson, Chang Ge, Caiwen Ding
2025 J jnl
Radon Exposure Dataset.
CoRR
Dakotah Maguire, Jeremy Logan, Heechan Lee, Heidi A. Hanson
2024 J jnl
Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation.
IEEE J. Biomed. Health Informatics
Christoph S. Metzner, Shang Gao, Drahomira Herrmannova, Elia Lima-Walton, Heidi A. Hanson
2024 J jnl
Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy.
CoRR
Hong-Jun Yoon, Chris Keum, Alexander Witkowski, Joanna Ludzik, Tracy Petrie, Heidi A. Hanson, Sancy A. Leachman
2024 — conf
Topological Interpretability for Deep Learning.
PASC
Adam Spannaus, Heidi A. Hanson, Georgia D. Tourassi, Lynne Penberthy
2023 J jnl
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR
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
2023 J jnl
FrESCO: Framework for Exploring Scalable Computational Oncology.
J. Open Source Softw.
Adam Spannaus, John Gounley, Mayanka Chandra Shekar, Zachary R. Fox, Jamaludin Mohd-Yusof, Noah Schaefferkoetter, Heidi A. Hanson
2023 — conf
Medication Knowledge Graph Analysis Using the PageRank Algorithm.
ICHI
S. M. Shamimul Hasan, Alina Peluso, Heidi A. Hanson, Anuj J. Kapadia
2023 J jnl
Topological Interpretability for Deep-Learning.
CoRR
Adam Spannaus, Heidi A. Hanson, Lynne Penberthy, Georgia D. Tourassi
2021 — conf
Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse.
IEEE BigData
Jeremy Logan, Greeshma A. Agasthya, Heidi A. Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj J. Kapadia