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ORCIDBrandon K. Fornwalt
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2020 – today
- 2023
[c3]Ryan Missel, Jesdin Raphael, Christopher M. Haggerty, Dustin N. Hartzel, Jeffery Ruhl, Brandon K. Fornwalt, Linwei Wang:
A Comparative Analysis of Data-Driven Modelling Techniques for 30-Day Heart Failure Readmission Prediction. CinC 2023: 1-4- [i4]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:
Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping. CoRR abs/2312.06457 (2023) - 2021
- [j3]Yasser El-Manzalawy
, Mostafa M. Abbas, Ian Hoaglund, Alvaro Ulloa Cerna, Thomas B. Morland, Christopher M. Haggerty, Eric S. Hall, Brandon K. Fornwalt:
OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality. BMC Medical Informatics Decis. Mak. 21(1): 156 (2021) - 2020
- [c2]Joshua V. Stough, Sushravya Raghunath, Xiaoyan Zhang, John M. Pfeifer, Brandon K. Fornwalt, Christopher M. Haggerty:
Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networks. Medical Imaging: Image Processing 2020: 113130A
2010 – 2019
- 2019
- [i3]Alvaro E. Ulloa Cerna, Marios Pattichis, David P. vanMaanen, Linyuan Jing, Aalpen A. Patel, Joshua V. Stough, Christopher M. Haggerty, Brandon K. Fornwalt:
Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records. CoRR abs/1901.08125 (2019) - [i2]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:
Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data. CoRR abs/1904.07032 (2019) - 2018
- [j2]Mohammad R. Arbabshirani, Brandon K. Fornwalt, Gino J. Mongelluzzo, Jonathan D. Suever, Brandon D. Geise, Aalpen A. Patel, Gregory J. Moore:
Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. npj Digit. Medicine 1 (2018) - [c1]Joshua V. Stough, Joseph DiPalma, Zilin Ma, Brandon K. Fornwalt, Christopher M. Haggerty:
Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057826 - [i1]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:
A deep neural network predicts survival after heart imaging better than cardiologists. CoRR abs/1811.10553 (2018) - 2017
- [j1]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:
Right Ventricular Strain, Torsion, and Dyssynchrony in Healthy Subjects Using 3D Spiral Cine DENSE Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 36(5): 1076-1085 (2017)
Coauthor Index
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