Výsledky vyhledávání - "Gerard Sanroma"

Akademický článek

Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly

Autor: Oualid M. Benkarim, Nadine Hahner, Gemma Piella, Eduard Gratacos, Miguel Angel González Ballester, Elisenda Eixarch, Gerard Sanroma

Publikováno v: NeuroImage: Clinical, Vol 18, Iss , Pp 103-114 (2018)

Neuroimaging of brain diseases plays a crucial role in understanding brain abnormalities and early diagnosis. Of great importance is the study of brain abnormalities in utero and the assessment of deviations in case of maldevelopment. In this work, b

Externí odkaz: https://doaj.org/article/dd23eb4a83c04c13aabed26612266193

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Akademický článek

Revealing heterogeneity of brain imaging phenotypes in Alzheimer's disease based on unsupervised clustering of blood marker profiles.

Autor: Gerard Martí-Juan, Gerard Sanroma, Gemma Piella, Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer’s Disease Metabolomics Consortium

Publikováno v: PLoS ONE, Vol 14, Iss 3, p e0211121 (2019)

Alzheimer's disease (AD) affects millions of people and is a major rising problem in health care worldwide. Recent research suggests that AD could have different subtypes, presenting differences in how the disease develops. Characterizing those subty

Externí odkaz: https://doaj.org/article/ce8aab9362e34d57afe45e0294cdc338

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Akademický článek

MSClique: Multiple Structure Discovery through the Maximum Weighted Clique Problem.

Autor: Gerard Sanroma, Adrian Penate-Sanchez, René Alquézar, Francesc Serratosa, Francesc Moreno-Noguer, Juan Andrade-Cetto, Miguel Ángel González Ballester

Publikováno v: PLoS ONE, Vol 11, Iss 1, p e0145846 (2016)

We present a novel approach for feature correspondence and multiple structure discovery in computer vision. In contrast to existing methods, we exploit the fact that point-sets on the same structure usually lie close to each other, thus forming clust

Externí odkaz: https://doaj.org/article/b07113ceeee149f199306a08825e420d

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The Relation Between Sex, Menopause, and White Matter Hyperintensities: The Rhineland Study

Autor: Valerie Lohner, Gökhan Pehlivan, Gerard Sanroma, Anne Miloschewski, Markus D. Schirmer, Tony Stöcker, Martin Reuter, Monique M.B. Breteler

Publikováno v: Neurology 99(9), e935-e943 (2022). doi:10.1212/WNL.0000000000200782
Neurology

Background and ObjectivesMounting evidence implies that there are sex differences in white matter hyperintensity (WMH) burden in older people. Questions remain regarding possible differences in WMH burden between men and women of younger age, sex-spe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b2dac7c3b1755036aa789b78481df4d
https://pub.dzne.de/record/164830

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Benchmark on automatic six-month-old infant brain segmentation algorithms

Publikováno v: IEEE Transactions on Medical Imaging, 38(9):2901712, 2219-2230. Institute of Electrical and Electronics Engineers

Accurate segmentation of infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is an indispensable foundation for early studying of brain growth patterns and morphological changes in neuro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ceb825841390bac311095bb33b41e81b
http://www.scopus.com/inward/record.url?scp=85085862576&partnerID=8YFLogxK

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A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in alzheimer's disease

Autor: Gerard Sanroma-Guell, Gerard Martí-Juan, Gemma Piella

Publikováno v: Computer methods and programs in biomedicine 189, 105348 (2020). doi:10.1016/j.cmpb.2020.105348

Background and Objectives: Recently, longitudinal studies of Alzheimer’s disease have gathered a substantial amount of neuroimaging data. New methods are needed to successfully leverage and distill meaningful information on the progression of the d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9aa47d3f20a6b5ad88297520d8b53272
http://hdl.handle.net/10230/45480

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Editorial: Deep Mining Big Social Data

Autor: Brent C. Munsell, Xiaofeng Zhu, Gerard Sanroma, Jilian Zhang

Publikováno v: World wide web 21(6), 1449-1452 (2018). doi:10.1007/s11280-018-0635-5

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63e02f96592aca69b9ee21e24fe660fd
https://doi.org/10.1007/s11280-018-0635-5

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Learning and combining image neighborhoods using random forests for neonatal brain disease classification

Autor: N.M. Hahner, Daniel Rueckert, Miguel Ángel González Ballester, Veronika A. Zimmer, Gerard Sanroma, Eduard Gratacós, Elisenda Eixarch, Ben Glocker, Gemma Piella

Publikováno v: MEDICAL IMAGE ANALYSIS
r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
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Recercat. Dipósit de la Recerca de Catalunya
r-FSJD: Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
Fundació Sant Joan de Déu

It is challenging to characterize and classify normal and abnormal brain development during early childhood. To reduce the complexity of heterogeneous data population, manifold learning techniques are increasingly applied, which find a low-dimensiona

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24e545b5e23f1e383e50afed7b19bc44
https://doi.org/10.1016/j.media.2017.08.004

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