Hyper-Learning for Gradient-Based Batch Size Adaptation. - Calum Robert MacLellan; Feng Dong (CoRR, 2022)

Effective extraction of ventricles and myocardium objects from cardiac magnetic resonance images with a multi-task learning U-Net. - Jinchang Ren; He Sun 009; Huimin Zhao 001; Hao Gao 002; Calum MacLellan; Sophia Zhao; Xiaoyu Luo (Pattern Recognit. Lett., 2022)

SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images. - Huimin Zhao 001; Zhenyu Fang; Jinchang Ren; Calum MacLellan; Yong Xia 001; Shuo Li 001; Meijun Sun; Kevin Ren (IEEE J. Biomed. Health Informatics, 2022)

A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images. - Zhenyu Fang; Jinchang Ren; Calum MacLellan; Huihui Li; Huimin Zhao 001; Amir Hussain 001; Giancarlo Fortino (IEEE Trans. Mol. Biol. Multi Scale Commun., 2022)

DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis. - Hristo Petkov; Calum MacLellan; Feng Dong (Appl. Intell., 2025)