Brandon K. Fornwalt

12 papers B 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment.
IEEE J. Biomed. Health Informatics
Alvaro E. Ulloa Cerna, David P. vanMaanen, Linyuan Jing, Joshua V. Stough, Aalpen A. Patel, Christopher M. Haggerty, Brandon K. Fornwalt, Marios S. Pattichis
2025 J jnl
A probabilistic approach for building disease phenotypes across electronic health records.
BioData Min.
David M. Vidmar, Jessica K. De Freitas, Will E. Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen
2023 — conf
A Comparative Analysis of Data-Driven Modelling Techniques for 30-Day Heart Failure Readmission Prediction.
CinC
Ryan Missel, Jesdin Raphael, Christopher M. Haggerty, Dustin N. Hartzel, Jeffery Ruhl, Brandon K. Fornwalt, Linwei Wang
2023 J jnl
Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping.
CoRR
Will E. Thompson, David M. Vidmar, Jessica K. De Freitas, John M. Pfeifer, Brandon K. Fornwalt, Ruijun Chen, Gabriel Altay, Kabir Manghnani, Andrew C. Nelsen, Kellie Morland, Martin C. Stumpe, Riccardo Miotto
2021 J jnl
OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality.
BMC Medical Informatics Decis. Mak.
Yasser El-Manzalawy, Mostafa M. Abbas, Ian Hoaglund, Alvaro Ulloa Cerna, Thomas B. Morland, Christopher M. Haggerty, Eric S. Hall, Brandon K. Fornwalt
2020 B conf
Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networks.
Image Processing
Joshua V. Stough, Sushravya Raghunath, Xiaoyan Zhang, John M. Pfeifer, Brandon K. Fornwalt, Christopher M. Haggerty
2019 J jnl
Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data.
CoRR
Sushravya Raghunath, Alvaro E. Ulloa Cerna, Linyuan Jing, David P. vanMaanen, Joshua Stough, Dustin N. Hartzel, Joseph B. Leader, H. Lester Kirchner, Christopher W. Good, Aalpen A. Patel, Brian P. Delisle, Amro Alsaid, Dominik Beer, Christopher M. Haggerty, Brandon K. Fornwalt
2019 J jnl
Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records.
CoRR
Alvaro E. Ulloa Cerna, Marios Pattichis, David P. vanMaanen, Linyuan Jing, Aalpen A. Patel, Joshua V. Stough, Christopher M. Haggerty, Brandon K. Fornwalt
2018 J jnl
A deep neural network predicts survival after heart imaging better than cardiologists.
CoRR
Alvaro Ulloa, Linyuan Jing, Christopher W. Good, David P. vanMaanen, Sushravya Raghunath, Jonathan D. Suever, Christopher D. Nevius, Gregory J. Wehner, Dustin N. Hartzel, Joseph B. Leader, Amro Alsaid, Aalpen A. Patel, H. Lester Kirchner, Christopher M. Haggerty, Brandon K. Fornwalt
2018 J jnl
Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration.
npj Digit. Medicine
Mohammad R. Arbabshirani, Brandon K. Fornwalt, Gino J. Mongelluzzo, Jonathan D. Suever, Brandon D. Geise, Aalpen A. Patel, Gregory J. Moore
2018 — conf
Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Joshua V. Stough, Joseph DiPalma, Zilin Ma, Brandon K. Fornwalt, Christopher M. Haggerty
2017 J jnl
Right Ventricular Strain, Torsion, and Dyssynchrony in Healthy Subjects Using 3D Spiral Cine DENSE Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging
Jonathan D. Suever, Gregory J. Wehner, Linyuan Jing, David K. Powell, Sean M. Hamlet, Jonathan D. Grabau, Dimitri Mojsejenko, Kristin N. Andres, Christopher M. Haggerty, Brandon K. Fornwalt