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ORCIDAlex M. Pagnozzi
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2020 – today
- 2023
[j3]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: 119815 (2023)- [c5]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: 1-5 - 2020
- [j2]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: 116807 (2020)
2010 – 2019
- 2019
- [j1]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) - 2018
- [c4]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: 20-27 - [c3]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: 87-96 - [c2]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: 110-118 - 2017
- [b1]Alex M. Pagnozzi:
Automated injury segmentation to assist in the treatment of children with cerebral palsy. University of Queensland, Australia, 2017 - 2015
- [c1]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: 1-6
Coauthor Index
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