OPTical Imaging of Molecular and signalling Activity in Real-time: application to flatfish metamorphosis

Project Information

OPTIMAR

Grant agreement ID: 867450

DOI

10.3030/867450

Project closed

EC signature date 28 March 2019

Start date 1 January 2021

End date 31 December 2022

Funded under

• SPREADING EXCELLENCE AND WIDENING PARTICIPATION

Total cost

€ 147 815,04

EU contribution

€ 147 815,04

Coordinated by

CENTRO DE CIENCIAS DO MAR DO ALGARVE
Portugal

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Other (6)

Model-based neural network for tomographic reconstruction

Author(s): Obando M, Mato G, Correia T
Published in: Khipu | Latin American Meeting In Artificial Intelligence, 2023
Publisher: Latin American Meeting In Artificial Intelligence

Transcriptomics points to an association between the HPT-axis and immune system maturation before and during Senegalensis sole larvae metamorphosis.

Author(s): Silva S, Correia T, Manchado M, Power D.
Published in: 30th CECE & 9th ISFE | Joint Conference of the European Society for Comparative Endocrinology and of the International Society for Fish Endocrinology, 2022
Publisher: Joint Conference of the European Society for Comparative Endocrinology and of the International Society for Fish Endocrinology

Real-time 3D Optical Projection Tomography using Deep Learning (Oral Presentation)

Author(s): Obando M, Bassi A, Ducros N, Mato G, Correia T
Published in: SPAOM 2021, 2021
Publisher: SPAOM
DOI: 10.5281/zenodo.7851764

Physics-Informed Self-supervised Deep Learning Reconstruction for Accelerated First-Pass Perfusion Cardiac MRI.

Author(s): Martín-González E, Alskaf E, Chiribiri A, Casaseca-de-la-Higuera P, Alberola-López C, Nunes R, Correia T
Published in: arXiv, 2023
Publisher: arXiv
DOI: 10.48550/arxiv.2301.02033

Real-time 3D Optical Projection Tomography using Deep Learning

Author(s): Obando M, Bassi A, Ducros N, Mato G, Correia T
Published in: SPAOM 2021, 2021
Publisher: Spanish & Portuguese Advanced Optical Microscopy Meeting

Tomografía de Proyección Óptica 3D en Tiempo Real Utilizando Deep Learning

Author(s): Obando M, Bassi A, Ducros N, Correia T, Mato G
Published in: Congreso I+D+i Mendoza, 2021
Publisher: Congreso I+D+i Mendoza

Conference proceedings (3)

The deep SECRET to accelerated first-pass perfusion cardiac MRI

Author(s): Martín-González E, Alskaf E, Chiribiri A, Casaseca-de-la-Higuera P, Alberola-López C, Nunes R, Correia T
Published in: 30th ISMRM meeting, 2022
Publisher: International Society for Magnetic Resonance in Medicine
DOI: 10.5281/zenodo.7777484

Implementation of a deep learning-based tool for automatic Cardiac Magnetic Resonance planning

Author(s): Osorio P, Henningsson M, Nunes R, Correia T
Published in: 2nd ISMRM Iberian Chapter meeting, 2022
Publisher: Iberian Chapter of the International Society for Magnetic Resonance in Medicine

Accelerating T2-map fitting in the brain with a Recurrent Inference Machine

Author(s): Carvalho C, Correia T, Nunes R
Published in: 2nd ISMRM Iberian Chapter meeting, 2022
Publisher: Iberian Chapter of the International Society for Magnetic Resonance in Medicine

Peer reviewed articles (2)

Model-based deep learning framework for accelerated optical projection tomography

Author(s): Obando M, Bassi A, Ducros N, Mato G, Correia T
Published in: Scientific Reports, Issue 13, 2023, Page(s) 21735, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-023-47650-3

Cardiac MR: From Theory to Practice

Author(s): Ismail TF, Strugnell W, Coletti C, Božic-Iven M, Weingärtner S, Hammernik K, Correia T and Küstner T
Published in: Frontiers in Cardiovascular Medicine, Issue 9, 2022, Page(s) 826283, ISSN 2297-055X
Publisher: Frontiers
DOI: 10.3389/fcvm.2022.826283

Book chapters (1)

Physics-Informed Self-supervised Deep Learning Reconstruction for Accelerated First-Pass Perfusion Cardiac MRI.

Author(s): Martín-González E, Alskaf E, Chiribiri A, Casaseca-de-la-Higuera P, Alberola-López C, Nunes R, Correia T
Published in: Machine Learning for Medical Image Reconstruction. MLMIR 2021. Lecture Notes in Computer Science, Issue vol 12964, 2021, ISBN 978-3-030-88551-9
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-88552-6_9