Alex M. Pagnozzi

Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model

Stephen E. Rose, Susmita Saha, Alex M. Pagnozzi, 2020, NeuroImage.

MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching

Jurgen Fripp, José V. Manjón, Alex M. Pagnozzi, 2018, Patch-MI@MICCAI.

Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach

Jurgen Fripp, Stephen E. Rose, Susmita Saha, 2018, DATRA/PIPPI@MICCAI.

Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies

Jurgen Fripp, Stephen E. Rose, Alex M. Pagnozzi, 2019, NeuroImage.

Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology

Stephen E. Rose, Andrew P. Bradley, Alex M. Pagnozzi, 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps

Alex M. Pagnozzi, Lee B. Reid, 2018, DLMIA/ML-CDS@MICCAI.

Dual acquisition of 18F-FMISO and 18F-FDOPA

Stephen E. Rose, Yaniv Gal, Alex M. Pagnozzi, 2014 .