Alex M. Pagnozzi
Orcid: 0000-0001-7931-1204
According to our database1,
Alex M. Pagnozzi
authored at least 9 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants.
NeuroImage, 2023
Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2020
Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model.
NeuroImage, 2020
2019
Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies.
NeuroImage, 2019
2018
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing Maps.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018
2017
Automated injury segmentation to assist in the treatment of children with cerebral palsy
PhD thesis, 2017
2015
Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015