Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms. - Alberto Traverso; Ali Hosni-Abdalaty; Mohammad Hasan; Tony Tadic; Tirth Patel; Meredith Giuliani; John Kim; Jolie Ringash; John Cho; Scott V. Bratman; Andrew Bayley; John Waldron; et al. (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review. - Reza Reiazi; Engy Abbas; Petra Famiyeh; Aria Rezaie; Jennifer Y. Y. Kwan; Tirth Patel; Scott V. Bratman; Tony Tadic; Fei-Fei Liu; Benjamin Haibe-Kains (Comput. Biol. Medicine, 2021)

A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data. - Michal Kazmierski; Mattea Welch; Sejin Kim; Chris McIntosh; Katrina Rey-McIntyre; Shao-Hui Huang; Tirth Patel; Tony Tadic; Michael F. Milosevic; Fei-Fei Liu; Andrew Hope; Scott V. Bratman; et al. (CoRR, 2021)

Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data. - Cathy Ong Ly; Balagopal Unnikrishnan; Tony Tadic; Tirth Patel; Joe Duhamel; Sonja Kandel; Yasbanoo Moayedi; Michael Brudno; Andrew Hope; Heather Ross; Chris McIntosh (npj Digit. Medicine, 2024)