Alex M. Pagnozzi

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 8

Top Topics

Tissue Segmentation

Markov Mesh Random Field

Top Venues

DATRA/PIPPI@MICCAI

DLMIA/ML-CDS@MICCAI

Publications

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, Paul B. Colditz, Stephen E. Rose, Jurgen Fripp
Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants. NeuroImage 267 (2023)
Léo Lebrat, Rodrigo Santa Cruz, Reuben Dorent, Javier Urriola Yaksic, Alex M. Pagnozzi, Gregg Belous, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. ISBI (2023)
Susmita Saha, Alex M. Pagnozzi, Pierrick Bourgeat, Joanne George, DanaKai Bradford, Paul B. Colditz, Roslyn N. Boyd, Stephen E. Rose, Jurgen Fripp, Kerstin Pannek
Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model. NeuroImage 215 (2020)
Alex M. Pagnozzi, Jurgen Fripp, Stephen E. Rose
Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies. NeuroImage 201 (2019)
Lee B. Reid, Ashley Gillman, Alex M. Pagnozzi, José V. Manjón, Jurgen Fripp
MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching. Patch-MI@MICCAI (2018)
Susmita Saha, Alex M. Pagnozzi, Joanne George, Paul B. Colditz, Roslyn N. Boyd, Stephen E. Rose, Jurgen Fripp, Kerstin Pannek
Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach. DATRA/PIPPI@MICCAI (2018)
Lee B. Reid, Alex M. Pagnozzi
Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps. DLMIA/ML-CDS@MICCAI (2018)
Alex M. Pagnozzi, Nicholas D. H. Dowson, Andrew P. Bradley, Roslyn N. Boyd, Pierrick Bourgeat, Stephen E. Rose
Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology. DICTA (2015)