Personalized Modelling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct patients. - Caroline Mendonça Costa; Aurel Neic; Gernot Plank; Eric Kerfoot; Bradley Porter; Benjamin Sieniewicz; Justin Gould; Baldeep Sidhu; Zhong Chen; Christopher A. Rinaldi; Martin J. Bishop 001; Steven A. Niederer (CinC, 2018)

Predicting Activation Patterns in Cardiac Resynchronization Therapy Patients. - Angela W. C. Lee; Uyen Chau Nguyen; Justin Gould; Baldeep Sidhu; Benjamin Sieniewicz; Caroline Mendonça Costa; Frits W. Prinzen; Gernot Plank; Christopher A. Rinaldi; Kevin Vernooy; Steven A. Niederer (CinC, 2018)

A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data. - Angela W. C. Lee; Uyen Chau Nguyen; Orod Razeghi; Justin Gould; Baldeep Sidhu; Benjamin Sieniewicz; Jonathan M. Behar; M. Mafi-Rad; Gernot Plank; Frits W. Prinzen; C. Aldo Rinaldi; Kevin Vernooy; et al. (Medical Image Anal., 2019)

His Bundle Pacing but not Left Bundle Pacing Corrects Septal Flash in Left Bundle Branch Block Patients. - Marina Strocchi; Aurel Neic; Matthias A. F. Gsell; Christoph M. Augustin; Julien Bouyssier; Karli Gillette; Mark K. Elliott; Justin S. Gould; Jonathan M. Behar; Baldeep Sidhu; Martin J. Bishop 001; Edward J. Vigmond; et al. (CinC, 2020)

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. - Esther Puyol-Antón; Chen Chen 042; James R. Clough; Bram Ruijsink; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Daniel Rueckert; Christopher A. Rinaldi; Andrew P. King (MICCAI (1), 2020)

Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. - Tareen Dawood; Chen Chen 042; Robin Andlauer; Baldeep S. Sidhu; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; C. Aldo Rinaldi; Esther Puyol-Antón; Reza Razavi; et al. (STACOM@MICCAI, 2021)

Non-invasive simulated electrical and measured mechanical indices predict response to cardiac resynchronization therapy. - Angela W. C. Lee; Orod Razeghi; José Alonso Solís-Lemus; Marina Strocchi; Baldeep Sidhu; Justin Gould; Jonathan M. Behar; Mark K. Elliott; Vishal Mehta; Gernot Plank; Christopher A. Rinaldi; Steven A. Niederer (Comput. Biol. Medicine, 2021)

A Framework for Auditing Data Center Energy Usage and Mitigating Environmental Footprint. - Justin Gould (CoRR, 2021)

AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. - Esther Puyol-Antón; Bram Ruijsink; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Haotian Gu; Christopher A. Rinaldi; Martin R. Cowie; Philip J. Chowienczyk; Reza Razavi; et al. (ASMUS@MICCAI, 2022)

AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. - Esther Puyol-Antón; Bram Ruijsink; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Haotian Gu; Miguel Xochicale; Alberto Gómez 002; Christopher A. Rinaldi; Martin R. Cowie; et al. (CoRR, 2022)

A multimodal deep learning model for cardiac resynchronisation therapy response prediction. - Esther Puyol-Antón; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Andrew P. King (Medical Image Anal., 2022)

Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. - Tareen Dawood; Chen Chen 042; Baldeep S. Sidhua; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Esther Puyol-Antón; Reza Razavi; Andrew P. King (CoRR, 2023)

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. - Tareen Dawood; Chen Chen 042; Baldeep S. Sidhu; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Esther Puyol-Antón; Reza Razavi; Andrew P. King (Medical Image Anal., 2023)