Applying Modern Virtual and Augmented Reality Technologies to Medical Images and Models. - Justin Sutherland; Jason Belec; Adnan Sheikh; Leonid L. Chepelev; Waleed Althobaity; Benjamin J. W. Chow; Dimitrios Mitsouras; Andy Christensen; Frank J. Rybicki; Daniel Jimenez-Carretero (J. Digit. Imaging, 2019)

Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. - Juan Lu; Rebecca Hutchens; Joseph Hung; Mohammed Bennamoun; Brendan McQuillan; Tom Briffa; Ferdous Sohel; Kevin Murray 005; Jonathon Stewart; Benjamin J. W. Chow; Frank M. Sanfilippo; Girish Dwivedi (Comput. Biol. Medicine, 2022)

Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. - Juan Lu; Mohammed Bennamoun; Jonathon Stewart; Jason Kamran Eshraghian; Yanbin Liu; Benjamin J. W. Chow; Frank M. Sanfilippo; Girish Dwivedi (CoRR, 2023)

A novel convolutional neural network structure for differential diagnosis of wide QRS complex tachycardia. - Najmeh Fayyazifar; Girish Dwivedi; David Suter; Selam T. Ahderom; Andrew Maiorana; Owen Clarkin; Saad Balamane; Nishita Saha; Benjamin King; Martin S. Green; Mehrdad Golian; Benjamin J. W. Chow (Biomed. Signal Process. Control., 2023)

Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients. - Juan Lu; Jonathon Stewart; Mohammed Bennamoun; Adrian Goudie; Jason Eshraghian; Abdul Ihdayhid; Frank M. Sanfilippo; Gary R. Small; Benjamin J. W. Chow; Girish Dwivedi (Comput. Methods Programs Biomed., 2023)

DuDoCS-Net: dual-domain and self-attention based CycleGAN for low-dose SPECT myocardial perfusion image enhancement. - Songyi Zhang; Emma Bos; Yeung Yam; Anahita Tavoosi; Gary R. Small; R. Glenn Wells; Lijun Lu; Benjamin J. W. Chow (Biomed. Signal Process. Control., 2026)