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Ensemble of neural networks for 3D position estimation in monolithic PET detectors

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Ensemble of neural networks for 3D position estimation in monolithic PET detectors

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Iborra Carreres, A.; González Martínez, AJ.; González, A.; Bousse, A.; Visvikis, D. (2019). Ensemble of neural networks for 3D position estimation in monolithic PET detectors. Physics in Medicine and Biology. 64(19):1-20. https://doi.org/10.1088/1361-6560/ab3b86

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Title: Ensemble of neural networks for 3D position estimation in monolithic PET detectors
Author: Iborra Carreres, Amadeo González Martínez, Antonio Javier González, A. Bousse, A. Visvikis, Dimitris
UPV Unit: Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
Issued date:
Abstract:
[EN] We propose an ensemble of multilayer feedforward neural networks to estimate the 3D position of photoelectric interactions in monolithic detectors. The ensemble is trained with data generated from optical Monte Carlo ...[+]
Subjects: Positron-emission tomography , Monolithic PET detectors , Ensemble of neural networks , Monte Carlo generated training , Interaction position determination , Depth of interaction determination
Copyrigths: Reserva de todos los derechos
Source:
Physics in Medicine and Biology. (issn: 0031-9155 )
DOI: 10.1088/1361-6560/ab3b86
Publisher:
IOP Publishing
Publisher version: https://doi.org/10.1088/1361-6560/ab3b86
Project ID:
info:eu-repo/grantAgreement/EC/FP7/603002/EU/Multimodal Imaging of Neurological Disorders/
Type: Artículo

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