Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology. - Alex M. Pagnozzi; Nicholas D. H. Dowson; Andrew P. Bradley; Roslyn N. Boyd; Pierrick Bourgeat; Stephen E. Rose (DICTA, 2015)

Automated injury segmentation to assist in the treatment of children with cerebral palsy - Alex M. Pagnozzi (2017)

MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching. - Lee B. Reid; Ashley Gillman; Alex M. Pagnozzi; José V. Manjón; Jurgen Fripp (Patch-MI@MICCAI, 2018)

Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps. - Lee B. Reid; Alex M. Pagnozzi (DLMIA/ML-CDS@MICCAI, 2018)

Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach. - Susmita Saha; Alex M. Pagnozzi; Joanne George; Paul B. Colditz; Roslyn N. Boyd; Stephen E. Rose; Jurgen Fripp; Kerstin Pannek (DATRA/PIPPI@MICCAI, 2018)

Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies. - Alex M. Pagnozzi; Jurgen Fripp; Stephen E. Rose (NeuroImage, 2019)

Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model. - Susmita Saha; Alex M. Pagnozzi; Pierrick Bourgeat; Joanne George; DanaKai Bradford; Paul B. Colditz; Roslyn N. Boyd; Stephen E. Rose; Jurgen Fripp; Kerstin Pannek (NeuroImage, 2020)

Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. - Léo Lebrat; Rodrigo Santa Cruz; Reuben Dorent; Javier Urriola Yaksic; Alex M. Pagnozzi; Gregg Belous; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (ISBI, 2023)

Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants. - Alex M. Pagnozzi; Liza van Eijk; Kerstin Pannek; Roslyn N. Boyd; Susmita Saha; Joanne George; Samudragupta Bora; DanaKai Bradford; Michael Fahey; Michael Ditchfield; Atul Malhotra; Helen G. Liley; et al. (NeuroImage, 2023)