Výsledky vyhledávání - "Jean Louchet"

Akademický článek

Right ventricular injury in critically ill patients with COVID-19: a descriptive study with standardized echocardiographic follow-up

Autor: Mathieu Jozwiak, Claire Dupuis, Pierre Denormandie, Didac Aurenche Mateu, Jean Louchet, Nathan Heme, Jean-Paul Mira, Denis Doyen, Jean Dellamonica

Publikováno v: Annals of Intensive Care, Vol 14, Iss 1, Pp 1-13 (2024)

Abstract Purpose Patients with COVID-19 admitted to intensive care unit (ICU) may have right ventricular (RV) injury. The main goal of this study was to investigate the incidence of RV injury and to describe the patient trajectories in terms of RV in

Externí odkaz: https://doaj.org/article/6c0190300cea4d02a75d9b00dfc028f5

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Voxelisation in the 3-D Fly Algorithm for PET

Autor: Evelyne Lutton, Franck Vidal, Zainab Ali Abbood, Jean-Marie Rocchisani, Julien Lavauzelle, Jean Louchet

Publikováno v: Swarm and Evolutionary Computation
Swarm and Evolutionary Computation, Elsevier, 2017, 36, pp.91-105. ⟨10.1016/j.swevo.2017.04.001⟩

International audience; The Fly Algorithm was initially developed for 3-D robot vision applications. It consists in solving the inverse problem of shape reconstruction from projections by evolving a population of 3-D points in space (the 'flies'), us

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b66a649d2c7a170d7025f4f2d1c8225e
https://hal.inrae.fr/hal-02621816

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Single-lens low-disparity stereo using microlenses

Autor: Jean Louchet, Peter Veelaert

Publikováno v: Journal of Systems Architecture. 59:900-907

In the framework of the 3-SIS project, we are designing a three-channel miniature camera using an integrated block-based processor and on-chip parallel (SIMD) image processing. This paper describes a single-lens stereo algorithm that we are planning

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66946702a6d8fb3025085c989c64b436
https://doi.org/10.1016/j.sysarc.2013.03.003

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Using colour, texture, and hierarchial segmentation for high-resolution remote sensing

Autor: Roger Trias-Sanz, Georges Stamon, Jean Louchet

Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing. 63:156-168

Image segmentation can be performed on raw radiometric data, but also on transformed colour spaces, or, for high-resolution images, on textural features. We review several existing colour space transformations and textural features, and investigate w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bde1a5b647ae672bac1695e548946ffe
https://doi.org/10.1016/j.isprsjprs.2007.08.005

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Évolution artificielle, optimisation et analyse d'images

Autor: Jean Louchet

Publikováno v: Techniques et sciences informatiques. 25:1049-1078

Parametric models inherited from image synthesis are giving an opportunity to using artificial evolution as a parameter optimisation paradigm in image analysis applications. In this paper, we show how artificial evolution can actually widen the scope

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e3df8d974c864c72592a19cbc3fb1e97
https://doi.org/10.3166/tsi.25.1049-1078

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Dynamic flies: a new pattern recognition tool applied to stereo sequence processing

Autor: Maud Guyon, Marie-Jeanne Lesot, Jean Louchet, Amine Boumaza

Publikováno v: Pattern Recognition Letters. 23:335-345

The "fly algorithm" is a fast artificial evolution-based technique devised for the exploration of parameter space in pattern recognition applications. In the application described, we evolve a population which constitutes a particle-based three-dimen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::22619eb60966c32bcd1fbef7e76adc64
https://doi.org/10.1016/s0167-8655(01)00129-5

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Autor: Jean Louchet

Publikováno v: Genetic Programming and Evolvable Machines. 2:101-109

The “fly algorithm” is an individual evolution strategy developed for parameter space exploration in computer vision applications. In the application described, each individual represents a geometrical point in the scene and the population itself

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::949b96a51aeb43fe4f0d3fe1dff9a55d
https://doi.org/10.1023/a:1011544128842

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Visual analysis of population scatterplots

Autor: Evelyne Lutton, Nathalie Perrot, Jean Louchet, Jean-Daniel Fekete, Julie Foucquier

Publikováno v: HAL
Lecture Notes in Computer Science ISBN: 9783642355325
Artificial Evolution

International audience; We investigate how visual analytic tools can deal with the huge amount of data produced during the run of an evolutionary algorithm. We show, on toy examples and on two real life problems, how a multidimensional data visualisa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5114e0fa247cafefbaee05593d90e80
https://hal.inria.fr/hal-00642307

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Threshold selection, mitosis and dual mutation in cooperative co-evolution: application to medical 3d tomography

Autor: Franck Vidal, Jean-Marie Rocchisani, Jean Louchet, Evelyne Lutton

Publikováno v: PPSN 2010, 11th International Conference on Parallel Problem Solving From Nature.
PPSN 2010, 11th International Conference on Parallel Problem Solving From Nature., Sep 2010, Krakow, Poland
Parallel Problem Solving from Nature, PPSN XI ISBN: 9783642158438
PPSN (1)

International audience; We present and analyse the behaviour of specialised operators designed for cooperative coevolution strategy in the framework of 3D tomographic PET reconstruction. The basis is a simple cooperative co-evolution scheme (the "fly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d315a349ec74c5c7fb56707a49be8ca
https://hal.inria.fr/hal-00783841/document

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New genetic operators in the fly algorithm: application to medical PET image reconstruction

Autor: Jean-Marie Rocchisani, Evelyne Lutton, Franck Vidal, Jean Louchet

Publikováno v: EVOIASP, Evolutionary Computation in Image Analysis and Signal Processing, EvoApplications 2010
EVOIASP, Evolutionary Computation in Image Analysis and Signal Processing, EvoApplications 2010, Apr 2010, Istambul, Turkey
Applications of Evolutionary Computation ISBN: 9783642122385
EvoApplications (1)

This paper presents an evolutionary approach for image reconstruction in positron emission tomography (PET). Our reconstruction method is based on a cooperative coevolution strategy (also called Parisian evolution): the “fly algorithm”. Each fly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cb265e90ccac6ac7c9567d217d86ca2
https://hal.inria.fr/hal-00783832/file/Vidal2010EvoIASP.pdf

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