Publicación:
Exploring self-supervised learning denoising in diffusion MRI-A characterisation of their impact under different noise regimes

Vista sencilla de ítem
dc.contributor.advisorSantos, Olga C.
dc.contributor.advisorManzano Patron, Jose Pedro
dc.contributor.authorRapado Morales, Dayris
dc.date.accessioned2025-10-10T07:47:30Z
dc.date.available2025-10-10T07:47:30Z
dc.date.issued2024-06-01
dc.description.abstractDiffusion Magnetic Resonance Imaging (dMRI) is the main non-invasive technique for understanding brain structural connectivity. However, given its inherent low signal-to-noise ratio, thermal noise particularly affects this modality and its downstream analysis. To overcome this challenge, several denoising methods have been developed over the years. Based on previous works, and as an extension, we assess and characterise here the impact of some of the selfsupervised Deep Learning approaches recently developed for denoising and show comparisons with alternative traditional approaches in both synthetic and real brain datasets.en
dc.identifier.citationRapado Morales, Dayris. Trabajo Fin de Máster: Exploring self-supervised learning denoising in diffusion MRI - A characterisation of their impact under different noise regimes. Universidad Nacional de Educación a Distancia (UNED), 2024
dc.identifier.urihttps://hdl.handle.net/20.500.14468/30362
dc.language.isoen
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.degreeMáster universitario en Investigación en Inteligencia Artificial
dc.relation.departmentInteligencia Artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject33 Ciencias Tecnológicas
dc.subject.keywordsDiffusion MRIen
dc.subject.keywordsdenoisingen
dc.subject.keywordsself-supervised learningen
dc.subject.keywordsdiffusion modelsen
dc.subject.keywordsGenerative modelsen
dc.subject.keywordsMPPCAen
dc.subject.keywordsNLMen
dc.subject.keywordsPatch2Selfen
dc.subject.keywordsDDM2en
dc.subject.keywordsNoise flooren
dc.subject.keywordsuncertaintyen
dc.titleExploring self-supervised learning denoising in diffusion MRI-A characterisation of their impact under different noise regimesen
dc.typetesis de maestríaes
dc.typemaster thesisen
dspace.entity.typePublication
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Rapado_Morales_Dayris_TFM.pdf
Tamaño:
5.65 MB
Formato:
Adobe Portable Document Format
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
3.62 KB
Formato:
Item-specific license agreed to upon submission
Descripción:
Descargar
Colecciones
Trabajos de fin de máster (TFM)