Christopher M. Haggerty

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 15

Top Topics

Video Segmentation

Electronic Health Records

Magnetic Resonance

Top Venues

Medical Imaging: Image Processing

BMC Medical Informatics Decis. Mak.

Publications

Junyang Cai, Christopher M. Haggerty, Joshua V. Stough
Co-Unet-GAN: a co-learning domain adaptation model on echocardiography segmentation. Medical Imaging: Image Processing (2023)
Ryan Missel, Jesdin Raphael, Christopher M. Haggerty, Dustin 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)
Timothy Poterucha, Pierre Elias, Christopher M. Haggerty
The Case Records of ChatGPT: Language Models and Complex Clinical Questions. CoRR (2023)
Yida Chen, Xiaoyan Zhang, Christopher M. Haggerty, Joshua V. Stough
Fully automated multi-heartbeat echocardiography video segmentation and motion tracking. Medical Imaging: Image Processing (2022)
Son-Tung Tran, Joshua V. Stough, Xiaoyan Zhang, Christopher M. Haggerty
Bayesian Optimization of 2D Echocardiography Segmentation. CoRR (2022)
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) (2021)
Yida Chen, Xiaoyan Zhang, Christopher M. Haggerty, Joshua V. Stough
Assessing the generalizability of temporally coherent echocardiography video segmentation. Medical Imaging: Image Processing (2021)
Tung Tran, Joshua V. Stough, Xiaoyan Zhang, Christopher M. Haggerty
Bayesian Optimization of 2D Echocardiography Segmentation. ISBI (2021)
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)
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 (2019)
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 (2019)
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 (2018)
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)
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) (2017)
Mark Luffel, Mukul Sati, Jarek Rossignac, Ajit P. Yoganathan, Christopher M. Haggerty, Maria Restrepo, Timothy C. Slesnick, Kirk R. Kanter, Pedro J. del Nido, Mark A. Fogel
SURGEM: A solid modeling tool for planning and optimizing pediatric heart surgeries. Comput. Aided Des. 70 (2016)