Reproducibility of Graph-Theoretic Brain Network Metrics: A Systematic Review. - Thomas Welton; Daniel A. Kent; Dorothee P. Auer; Robert A. Dineen (Brain Connect., 2015)

Automated segmentation of haematoma and perihaematomal oedema in MRI of acute spontaneous intracerebral haemorrhage. - Stefan Pszczólkowski; Zhe K. Law; Rebecca G. Gallagher; Dewen Meng; David J. Swienton; Paul S. Morgan; Philip M. Bath; Nikola Sprigg; Rob A. Dineen (Comput. Biol. Medicine, 2019)

Graph Theoretic Analysis of Brain Connectomics in Multiple Sclerosis: Reliability and Relationship with Cognition. - Thomas Welton; Cris S. Constantinescu; Dorothee P. Auer; Rob A. Dineen (Brain Connect., 2020)

Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning. - Vaanathi Sundaresan; Christoph Arthofer; Giovanna Zamboni; Robert A. Dineen; Peter M. Rothwell; Stamatios N. Sotiropoulos; Dorothee P. Auer; Daniel J. Tozer; Hugh S. Markus; Karla L. Miller; Iulius Dragonu; Nikola Sprigg; et al. (Frontiers Neuroinformatics, 2021)

Automated detection of cerebral microbleeds on MR images using knowledge distillation framework. - Vaanathi Sundaresan; Christoph Arthofer; Giovanna Zamboni; Andrew G. Murchison; Robert A. Dineen; Peter M. Rothwell; Dorothee P. Auer; Chaoyue Wang; Karla L. Miller; Benjamin C. Tendler; Fidel Alfaro-Almagro; Stamatios N. Sotiropoulos; et al. (Frontiers Neuroinformatics, 2023)

A Unified Framework for Semi-Supervised Image Segmentation and Registration. - Ruizhe Li 005; Grazziela Patrocinio Figueredo; Dorothee Auer; Rob A. Dineen; Paul S. Morgan; Xin Chen 003 (ISBI, 2025)