Christopher M. Haggerty
Orcid: 0000-0002-3227-4490
According to our database1,
Christopher M. Haggerty
authored at least 15 papers
between 2016 and 2023.
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Bibliography
2023
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
A Comparative Analysis of Data-Driven Modelling Techniques for 30-Day Heart Failure Readmission Prediction.
Proceedings of the Computing in Cardiology, 2023
2022
Fully automated multi-heartbeat echocardiography video segmentation and motion tracking.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
2021
OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality.
BMC Medical Informatics Decis. Mak., 2021
Assessing the generalizability of temporally coherent echocardiography video segmentation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
2019
Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data.
CoRR, 2019
Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records.
CoRR, 2019
2018
A deep neural network predicts survival after heart imaging better than cardiologists.
CoRR, 2018
Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
2017
Right Ventricular Strain, Torsion, and Dyssynchrony in Healthy Subjects Using 3D Spiral Cine DENSE Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2017
2016
Comput. Aided Des., 2016