Segmentation of cDNA Microarray Images using Parallel Spectral Clustering

Autor: Daniel RUIZ, Joseph NOAILLES, Ronan GUIVARCH, Sandrine MOUYSSET

Publikováno v: Advances in Distributed Computing and Artificial Intelligence Journal, Vol 1, Iss 4, Pp 1-8 (2013)

Microarray technology generates large amounts of expression level of genes to be analyzed simultaneously. This analysis implies microarray image segmentation to extract the quantitative information from spots. Spectral clustering is one of the most r

Externí odkaz: https://doaj.org/article/34ca3727e0b54f6c81de598a3999ad05

Dental image segmentation by clustering methods

Autor: Carlos Balsa, Sandrine Mouysset, Ronan Guivarch, Cláudio Alves

Publikováno v: Communications in Computer and Information Science ISBN: 9783030902407

Segmentation of dental radiography allows the identification of human individuals but also could be used for the development of more effective diagnostic, monitoring, and evaluation of appropriate treatment plans. In practice, dark background and bon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35e4eef18e1469804ddd3f0f2ffb3e1c
http://hdl.handle.net/10198/27292

Segmentation of cDNA Microarray Images using Parallel Spectral Clustering

Autor: Joseph Noailles, Ronan Guivarch, Sandrine Mouysset, Daniel Ruiz

Publikováno v: Advances in Distributed Computing and Artificial Intelligence Journal, Vol 1, Iss 4, Pp 1-8 (2013)
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 2, Iss 1, Pp 1-8 (2013)

Microarray technology generates large amounts of expression level of genes to be analyzed simultaneously. This analysis implies microarray image segmentation to extract the quantitative information from spots. Spectral clustering is one of the most r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acf04686fcecc62ae4101fae843126db
http://campus.usal.es/~revistas_trabajo/index.php/2255-2863/article/view/9890

Parallelisation of MACOPA, a multi-physics asynchronous solver

Autor: Guillaume Joslin, Thomas Unfer, Ronan Guivarch, Daniel Ruiz, Ronan Perrussel, Jean Tshimanga

Publikováno v: VECPAR 2016: High Performance Computing for Computational Science ; ISBN: 978-3-319-61982-8
International Conference on Vector and Parallel Processing (VECPAR 2016)
International Conference on Vector and Parallel Processing (VECPAR 2016), Jun 2016, Porto, Portugal. pp.44--51, ⟨10.1007/978-3-319-61982-8_6⟩
High Performance Computing for Computational Science – VECPAR 2016 ISBN: 9783319619811
VECPAR

International audience; Macopa is a partial differential equations solver based on a particular local time-stepping technique dedicated to multi-physics and multi-scale problems. Here, some parallelisation strategies – multi-threading, domain decom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d157f06ed9e274c236fd8883a2b6450
https://hal.archives-ouvertes.fr/hal-03165037

MPI implementation of parallel subdomain methods for linear and nonlinear convection–diffusion problems

Autor: Ming Chau, Didier El Baz, Ronan Guivarch, Pierre Spiteri

Publikováno v: Journal of Parallel and Distributed Computing. 67:581-591

The solution of linear and nonlinear convection-diffusion problems via parallel subdomain methods is considered. MPI implementation of parallel Schwarz alternating methods on distributed memory multiprocessors is discussed. Parallel synchronous and a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c9da9afcca7b8be09405cd6b7938783b
https://doi.org/10.1016/j.jpdc.2007.01.003