Brandon Foreman

According to our database, Brandon Foreman authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Topological Visualization of Intracranial Pressure Morphology Variations and Real Time Data Trajectory Mapping.

Xu Han, Alex Suer, Brandon Foreman, Xiaodong Jia

IEEE J. Biomed. Health Informatics, May, 2026

Towards a physics informed digital twin to predict cerebral blood flow and cerebral vascular regulation.

Jennifer K. Briggs, J. N. Stroh, Soojin Park, Brandon Foreman, Michael M. Tymko, Jay Carr, Melike Sirlanci, Philip N. Ainslie, Richard K. P. Benninger, Tellen D. Bennett, David J. Albers

npj Digit. Medicine, 2026

2025

Personalizing the Pressure Reactivity Index for Quantifying Cerebral Autoregulation in Neurocritical Care.

Jennifer K. Briggs, J. N. Stroh, Brandon Foreman, Soojin Park, Tellen D. Bennett, David J. Albers

IEEE Trans. Biomed. Eng., December, 2025

A Novel Methodology for Intracranial Pressure Subpeak Identification Enabling Morphological Feature Analysis.

Varun Vinayak Kalaiarasan, Marcella Miller, Xu Han, Brandon Foreman, Xiaodong Jia

IEEE Trans. Biomed. Eng., April, 2025

2024

Discovery of generalizable TBI phenotypes using multivariate time-series clustering.

Hamid Ghaderi, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian

Comput. Biol. Medicine, 2024

A Neurosurgical Readmissions Reduction Program in an Academic Hospital Leveraging Machine Learning, Workflow Analysis, and Simulation.

Tzu-Chun Wu, Abraham Kim, Ching-Tzu Tsai, Andy Gao, Taran Ghuman, Anne Paul, Alexandra Castillo, Joseph Cheng, Owoicho Adogwa, Laura B. Ngwenya, Brandon Foreman, Danny T. Y. Wu

Appl. Clin. Inform., 2024

2023

WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values.

Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Brandon Foreman, Vignesh Subbian

J. Biomed. Informatics, August, 2023

A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping.

Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian

J. Biomed. Informatics, 2023

Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series.

Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian

CoRR, 2023

A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping.

Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian

CoRR, 2023

2022

An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury.

Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian

Proceedings of the AMIA 2022, 2022

Optimizing Strategies of Pressure Reactivity Index and Optimal Cerebral Perfusion Pressure Identification for Cerebral Autoregulatory-Guided Clinical Decision Support.

Jennifer K. Briggs, J. N. Stroh, Tellen D. Bennett, Soojin Park, David J. Albers, Brandon Foreman

Proceedings of the AMIA 2022, 2022

2021

Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury.

Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Jonathan J. Ratcliff, Chandan K. Reddy, Vignesh Subbian

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021