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CORDIS - EU research results
CORDIS

COmputatioNal Imaging as a training Network for Smart biomedical dEvices

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 .

Deliverables

Report on software for and simulations of deep-learning-based adaptive computational imaging. (opens in new window)

Image reconstruction methods based on adaptive compressed sensing and deep learning will be developed at CWI.

Report on methods and processing: description and results (opens in new window)

In this report, methods for data processing on simulated data will be reported.

Public section of the webpage, social network pages, printed materials (opens in new window)

The public part of project website will be set together with other social netwrok channels.

Webpage (opens in new window)

Project's webpage set with private and public part ready

Software for simulation and reconstruction on compressed data. (opens in new window)

A software platform based either on Finite Element Method and/or Monte Carlo will be set up for simulating forward data which will be used for image reconstruction and trainig dataset.

Publications

Autofocusing method for active Hadamard single-pixel microscopy using gradient descent algorithms (opens in new window)

Author(s): Heberley Tobón-Maya, Samuel I. Zapata-Valencia, Lindsey Willstatter, Stefano Bonora, Andrea Farina, Jesús Lancis, Enrique Tajahuerce
Published in: Optics and Lasers in Engineering, Issue 185, 2024, ISSN 0143-8166
Publisher: Elsevier BV
DOI: 10.1016/J.OPTLASENG.2024.108699

Reconstructionless autofocus method for Hadamard-based single-pixel microscopy. (opens in new window)

Author(s): Heberley Tobón-Maya, Samuel I. Zapata-Valencia, Lindsey Willstatter, Stefano Bonora, Andrea Farina, Jesús Lancis, Enrique Tajahuerce
Published in: Optica Imaging Congress 2024 (3D, AOMS, COSI, ISA, pcAOP), 2024
Publisher: Optica Publishing Group
DOI: 10.1364/AOPT.2024.OW1F.5

Simulation-Based Process for Characterization of Hexagonal Photonic Crystal Fibers used in Supercontinuum Generation (opens in new window)

Author(s): John Rosses, Salvador Torres, Pere Pérez-Milán, Jaime Cascante
Published in: Laser Congress 2024 (ASSL, LAC, LS&C), 2024
Publisher: Optica Publishing Group
DOI: 10.1364/ASSL.2024.JTU2A.28

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