On an inverse Cayley problem. - John McCabe; Kathryn Weld (Australas. J Comb., 2009)

On automorphisms of Cayley graphs, and irregular groups. - John McCabe; Kathryn Weld (Australas. J Comb., 2011)

Using Systems Engineering for the Development of Decision Making Support Systems (DMSS): An Analysis of System Development Methodologies (SDM). - Sarah Vallance; Alex H. B. Duffy; Robert Ian Whitfield; Kepa Mendibil; Abigail Hird; John McCabe; Neville Turner (Int. J. Decis. Support Syst. Technol., 2011)

Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning. - Shahab Aslani; Pavan Alluri; Eyjolfur Gudmundsson; Edward Chandy; John McCabe; Anand Devaraj; Carolyn Horst; Sam M. Janes; Rahul Chakkara; Arjun Nair; Daniel C. Alexander; SUMMIT Consortium; et al. (CoRR, 2022)

Spectral Transition Evaluation and Heatmap Extraction for Deep Learning Classifiers. - Mehran Azimbagirad; Pardeep Vasudev; Adam Szmul; John McCabe; Shahab Aslani; Niccolò McConnell; Brintha Selvarajah; Amyn Bhamani; Daniel C. Alexander; Joseph Jacob (MICAD, 2024)

Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms. - John McCabe; Daryl Cheng; Amyn Bhamani; Monica Mullin; Tanya Patrick; Arjun Nair; Sam M. Janes; Carole H. Sudre; Joseph Jacob (FAIMI/EPIMI@MICCAI, 2024)

Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. - Shahab Aslani; Pavan Alluri; Eyjolfur Gudmundsson; Edward Chandy; John McCabe; Anand Devaraj; Carolyn Horst; Sam M. Janes; Rahul Chakkara; Daniel C. Alexander; Arjun Nair; Joseph Jacob (Comput. Medical Imaging Graph., 2024)

A computationally frugal open-source foundation model for thoracic disease detection in lung cancer screening programs. - Niccolò McConnell; Pardeep Vasudev; Daisuke Yamada; Daryl Cheng; Mehran Azimbagirad; John McCabe; Shahab Aslani; Ahmed H. Shahin; Yukun Zhou; SUMMIT Consortium; André Altmann; Yipeng Hu; et al. (CoRR, 2025)