Justin Gould
Orcid: 0000-0002-1897-5565
According to our database1,
Justin Gould
authored at least 13 papers
between 2018 and 2023.
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Bibliography
2023
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.
Medical Image Anal., August, 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images.
CoRR, 2023
2022
A multimodal deep learning model for cardiac resynchronisation therapy response prediction.
Medical Image Anal., 2022
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography.
CoRR, 2022
AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022
2021
A Framework for Auditing Data Center Energy Usage and Mitigating Environmental Footprint.
CoRR, 2021
Non-invasive simulated electrical and measured mechanical indices predict response to cardiac resynchronization therapy.
Comput. Biol. Medicine, 2021
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
His Bundle Pacing but not Left Bundle Pacing Corrects Septal Flash in Left Bundle Branch Block Patients.
Proceedings of the Computing in Cardiology, 2020
2019
A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data.
Medical Image Anal., 2019
2018
Proceedings of the Computing in Cardiology, 2018
Personalized Modelling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct patients.
Proceedings of the Computing in Cardiology, 2018