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Alex M. Pagnozzi
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Books and Theses
- 2017
- [b1]Alex M. Pagnozzi:
Automated injury segmentation to assist in the treatment of children with cerebral palsy. University of Queensland, Australia, 2017
Journal Articles
- 2023
- [j3]Alex M. Pagnozzi
, Liza van Eijk, Kerstin Pannek
Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants. NeuroImage 267: 119815 (2023) - 2020
- [j2]Susmita Saha
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) - 2019
- [j1]Alex M. Pagnozzi
Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies. NeuroImage 201 (2019)
Conference and Workshop Papers
- 2023
- [c5]Léo Lebrat
Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. ISBI 2023: 1-5 - 2018
- [c4]Lee B. Reid
MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching. Patch-MI@MICCAI 2018: 20-27 - [c3]Susmita Saha
Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach. DATRA/PIPPI@MICCAI 2018: 87-96 - [c2]Lee B. Reid
Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps. DLMIA/ML-CDS@MICCAI 2018: 110-118 - 2015
- [c1]Alex M. Pagnozzi
Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology. DICTA 2015: 1-6
Coauthor Index
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