Cody Bumgardner

According to our database, Cody Bumgardner authored at least 33 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DINO-LG: Enhancing vision transformers with label guidance for coronary artery calcium detection.

Mahmut S. Gokmen, Caner Ozcan, Moneera N. Haque, Steve W. Leung, Seth Parker, William Brent Seales, Cody Bumgardner

Medical Biol. Eng. Comput., April, 2026

Curriculum-Driven 3D CT Report Generation via Language-Free Visual Grafting and Zone-Constrained Compression.

V. K. Cody Bumgardner, Mitchell A. Klusty, Mahmut S. Gokmen, Evan W. Damron

CoRR, March, 2026

A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography.

Mahmut S. Gokmen, Moneera N. Haque, Steve W. Leung, Caroline N. Leach, Seth Parker, Stephen B. Hobbs, Vincent L. Sorrell, W. Brent Seales, V. K. Cody Bumgardner

CoRR, February, 2026

2025

Magnification-Aware Distillation (MAD): A Self-Supervised Framework for Unified Representation Learning in Gigapixel Whole-Slide Images.

Mahmut S. Gokmen, Mitchell A. Klusty, Peter T. Nelson, Allison M. Neltner, Sen-Ching Samson Cheung, Thomas M. Pearce, David A. Gutman, Brittany N. Dugger, Devavrat S. Bisht, Margaret E. Flanagan, V. K. Cody Bumgardner

CoRR, December, 2025

Leveraging LLMs for Structured Data Extraction from Unstructured Patient Records.

Mitchell A. Klusty, Elizabeth C. Solie, Caroline N. Leach, W. Vaiden Logan, Lynnet E. Richey, John C. Gensel, David P. Szczykutowicz, Bryan C. McLellan, Emily B. Collier, Samuel E. Armstrong, V. K. Cody Bumgardner

CoRR, December, 2025

Vision Foundry: A System for Training Foundational Vision AI Models.

Mahmut S. Gokmen, Mitchell A. Klusty, Evan W. Damron, W. Vaiden Logan, Aaron D. Mullen, Caroline N. Leach, Emily B. Collier, Samuel E. Armstrong, V. K. Cody Bumgardner

CoRR, December, 2025

Semantic Nutrition Estimation: Predicting Food Healthfulness from Text Descriptions.

Dayne R. Freudenberg, Daniel G. Haughian, Mitchell A. Klusty, Caroline N. Leach, W. Scott Black, Leslie N. Woltenberg, Rowan Hallock, Elizabeth Solie, Emily B. Collier, Samuel E. Armstrong, V. K. Cody Bumgardner

CoRR, December, 2025

Toward an AI Reasoning-Enabled System for Patient-Clinical Trial Matching.

Caroline N. Leach, Mitchell A. Klusty, Samuel E. Armstrong, Justine C. Pickarski, Kristen L. Hankins, Emily B. Collier, Maya Shah, Aaron D. Mullen, V. K. Cody Bumgardner

CoRR, December, 2025

Bridging the Clinical Expertise Gap: Development of a Web-Based Platform for Accessible Time Series Forecasting and Analysis.

Aaron D. Mullen, Daniel R. Harris, Svetla Slavova, V. K. Cody Bumgardner

CoRR, December, 2025

DINO-MX: A Modular & Flexible Framework for Self-Supervised Learning.

Mahmut S. Gokmen, Cody Bumgardner

CoRR, November, 2025

Machine learning approaches to predicting medication nonadherence: a scoping review.

Christian Rhudy, Jacob Johnson, Courtney Perry, Cody Bumgardner, Michael J. Wesley, David Fardo, Terrence Barrett, Jeffrey Talbert

Int. J. Medical Informatics, 2025

2024

Enhancing Low Dose Computed Tomography Images Using Consistency Training Techniques.

Mahmut S. Gokmen, Jie Zhang, Ge Wang, Jin Chen, Cody Bumgardner

CoRR, 2024

DINO-LG: A Task-Specific DINO Model for Coronary Calcium Scoring.

Mahmut S. Gokmen, Caner Ozcan, Moneera N. Haque, Cody Bumgardner

CoRR, 2024

Forecasting Opioid Incidents for Rapid Actionable Data for Opioid Response in Kentucky.

Aaron D. Mullen, Daniel R. Harris, Peter Rock, Svetla Slavova, Jeffrey Talbert, V. K. Cody Bumgardner

CoRR, 2024

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science.

Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson, Neil Bahroos, Douglas S. Bell, Cody Bumgardner, Thomas R. Campion Jr., Victor M. Castro, James J. Cimino, I. Glenn Cohen, David A. Dorr, Peter L. Elkin, Jungwei W. Fan, Todd Ferris, David J. Foran, David A. Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S. Karnik, Avnish Katoch, Albert M. Lai, Christophe G. Lambert, Lang Li, Christopher J. Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A. Mendonça, Parsa Mirhaji, Shawn N. Murphy, John D. Osborne, Ioannis Ch. Paschalidis, Paul A. Harris, Fred W. Prior, Nicholas J. Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R. Waitman, Rosalind J. Wright, Adrian H. Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A. Malin, Karthik Natarajan, W. Nicholson Price, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng

CoRR, 2024

Toward Automated Clinical Transcriptions.

Mitchell A. Klusty, W. Vaiden Logan, Samuel E. Armstrong, Aaron D. Mullen, Caroline N. Leach, Jeff Talbert, V. K. Cody Bumgardner

CoRR, 2024

State-Based Automation for Time-Restricted Eating Adherence.

Samuel E. Armstrong, Aaron D. Mullen, J. Matthew Thomas, Dorothy D. Sears, Julie S. Pendergast, Jeffrey Talbert, Cody Bumgardner

CoRR, 2024

High Noise Scheduling is a Must.

Mahmut S. Gokmen, Cody Bumgardner, Jie Zhang, Ge Wang, Jin Chen

CoRR, 2024

Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats.

Aaron D. Mullen, Samuel E. Armstrong, Jasmine Perdeh, Bjorn Bauer, Jeffrey Talbert, V. K. Cody Bumgardner

CoRR, 2024

Institutional Platform for Secure Self-Service Large Language Model Exploration.

V. K. Cody Bumgardner, Mitchell A. Klusty, W. Vaiden Logan, Samuel E. Armstrong, Caylin Hickey, Jeff Talbert

CoRR, 2024

2023

CLASSify: A Web-Based Tool for Machine Learning.

Aaron D. Mullen, Samuel E. Armstrong, Jeff Talbert, V. K. Cody Bumgardner

CoRR, 2023

Local Large Language Models for Complex Structured Medical Tasks.

V. K. Cody Bumgardner, Aaron D. Mullen, Samuel E. Armstrong, Caylin Hickey, Jeff Talbert

CoRR, 2023

SmartState: A Protocol-Driven Human Interface.

Samuel E. Armstrong, Aaron D. Mullen, V. K. Cody Bumgardner

CoRR, 2023

2019

Semantic Enrichment of Streaming Healthcare Data.

Daniel Cotter, Vernon K. Cody Bumgardner

CoRR, 2019

Toward Edge-enabled Cyber-Physical Systems Testbeds.

Vernon K. Cody Bumgardner, Nima Seyedtalebi, Caylin D. Hickey

CoRR, 2019

AMIS: Programmable Privacy-Preserving Network Measurement for Analysis and Troubleshooting.

Xiaoban Wu, Chen Xu, Yan Luo, Cody Bumgardner, Gabriel Ghinita, Michael McGarry

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Agent Communications in Edge Computing.

Cody Bumgardner, Caylin D. Hickey, Nima Seyedtalebi

Proceedings of the IEEE International Conference on Industrial Internet, 2019

2018

An Edge-Focused Model for Distributed Streaming Data Applications.

Vernon K. Cody Bumgardner, Caylin D. Hickey, Victor W. Marek

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Edge-enabled Distributed Network Measurement.

Vernon K. Cody Bumgardner, Caylin D. Hickey, Victor W. Marek

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

2016

Collating time-series resource data for system-wide job profiling.

Vernon K. Cody Bumgardner, Victor W. Marek, Ray L. Hyatt

Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Constellation: A secure self-optimizing framework for genomic processing.

Vernon K. Cody Bumgardner, Victor W. Marek, Caylin D. Hickey, Kanna Nandakumar

Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016

Cresco: A distributed agent-based edge computing framework.

Vernon K. Cody Bumgardner, Victor W. Marek, Caylin D. Hickey

Proceedings of the 12th International Conference on Network and Service Management, 2016

2014

Scalable hybrid stream and hadoop network analysis system.

Vernon K. C. Bumgardner, Victor W. Marek

Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014