Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Esther E Bron"'
Autor:
Sofia Marcolini, Jaime D. Mondragón, Esther E. Bron, Geert J. Biessels, Jurgen A.H.R. Claassen, Janne M. Papma, Huub Middelkoop, Rudi A.J.O. Dierckx, Ronald J.H. Borra, Inez H.G.B. Ramakers, Wiesje M. van der Flier, Natasha M. Maurits, Peter P. De Deyn
Publikováno v:
Cerebral Circulation - Cognition and Behavior, Vol 6, Iss , Pp 100192- (2024)
Background: The role of small vessel disease in the development of dementia is not yet completely understood. Functional brain connectivity has been shown to differ between individuals with and without cerebral small vessel disease. However, a compre
Externí odkaz:
https://doaj.org/article/5596df6024c14dde8dea3f848664da20
Autor:
Matthew J. Leming, Esther E. Bron, Rose Bruffaerts, Yangming Ou, Juan Eugenio Iglesias, Randy L. Gollub, Hyungsoon Im
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-12 (2023)
Abstract Advances in artificial intelligence have cultivated a strong interest in developing and validating the clinical utilities of computer-aided diagnostic models. Machine learning for diagnostic neuroimaging has often been applied to detect psyc
Externí odkaz:
https://doaj.org/article/ce3e612153e54682afc6ffebd9454627
Autor:
Sanne Kuipers, Sean W. Willemse, Jacoba P. Greving, Esther E. Bron, Robert J. van Oostenbrugge, Matthias J.P. van Osch, Geert Jan Biessels, L. Jaap Kappelle
Publikováno v:
Cerebral Circulation - Cognition and Behavior, Vol 5, Iss , Pp 100169- (2023)
Background: Patients with carotid artery occlusion (CAO) are vulnerable to cognitive impairment (CI). Anaemia is associated with CI in the general population. We hypothesized that lower haemoglobin is associated with cognitive impairment (CI) in pati
Externí odkaz:
https://doaj.org/article/b0dbee1c55b14d529055b5401b3fb446
Autor:
Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby
Publikováno v:
NeuroImage, Vol 253, Iss , Pp 119083- (2022)
Machine learning methods exploiting multi-parametric biomarkers, especially based on neuroimaging, have huge potential to improve early diagnosis of dementia and to predict which individuals are at-risk of developing dementia. To benchmark algorithms
Externí odkaz:
https://doaj.org/article/1863503fda164fca80a409d541340777
Autor:
Vikram Venkatraghavan, Elisabeth J. Vinke, Esther E. Bron, Wiro J. Niessen, M. Arfan Ikram, Stefan Klein, Meike W. Vernooij
Publikováno v:
NeuroImage, Vol 238, Iss , Pp 118233- (2021)
Data-driven disease progression models have provided important insight into the timeline of brain changes in AD phenotypes. However, their utility in predicting the progression of pre-symptomatic AD in a population-based setting has not yet been inve
Externí odkaz:
https://doaj.org/article/c9a2799fa18f4ffcb8394042ebc854c3
Autor:
Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, M. Arfan Ikram, Meike W. Vernooij, Esther E. Bron
Publikováno v:
NeuroImage, Vol 235, Iss , Pp 118004- (2021)
This work presents a single-step deep-learning framework for longitudinal image analysis, coined Segis-Net. To optimally exploit information available in longitudinal data, this method concurrently learns a multi-class segmentation and nonlinear regi
Externí odkaz:
https://doaj.org/article/8a99aef6920b45df94d777df1a30506c
Autor:
Vikram Venkatraghavan, Stefan Klein, Lana Fani, Leontine S. Ham, Henri Vrooman, M. Kamran Ikram, Wiro J. Niessen, Esther E. Bron
Publikováno v:
NeuroImage, Vol 227, Iss , Pp 117646- (2021)
Alzheimer’s disease (AD) is the most common form of dementia and is phenotypically heterogeneous. APOE is a triallelic gene which correlates with phenotypic heterogeneity in AD. In this work, we determined the effect of APOE alleles on the disease
Externí odkaz:
https://doaj.org/article/90da3ae9bbf144d9bc5d78754d50ed07
Autor:
Iris Dekker, Menno M. Schoonheim, Vikram Venkatraghavan, Anand J.C. Eijlers, Iman Brouwer, Esther E. Bron, Stefan Klein, Mike P. Wattjes, Alle Meije Wink, Jeroen J.G. Geurts, Bernard M.J. Uitdehaag, Neil P. Oxtoby, Daniel C. Alexander, Hugo Vrenken, Joep Killestein, Frederik Barkhof, Viktor Wottschel
Publikováno v:
NeuroImage: Clinical, Vol 29, Iss , Pp 102550- (2021)
Background: As disease progression remains poorly understood in multiple sclerosis (MS), we aim to investigate the sequence in which different disease milestones occur using a novel data-driven approach. Methods: We analysed a cohort of 295 relapse-o
Externí odkaz:
https://doaj.org/article/8df3bdd761354d1b9b13a44bade11f7d
Autor:
Esther E. Bron, Stefan Klein, Janne M. Papma, Lize C. Jiskoot, Vikram Venkatraghavan, Jara Linders, Pauline Aalten, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A.H.R. Claassen, Huub A.M. Middelkoop, Marion Smits, Wiro J. Niessen, John C. van Swieten, Wiesje M. van der Flier, Inez H.G.B. Ramakers, Aad van der Lugt
Publikováno v:
NeuroImage: Clinical, Vol 31, Iss , Pp 102712- (2021)
This work validates the generalizability of MRI-based classification of Alzheimer’s disease (AD) patients and controls (CN) to an external data set and to the task of prediction of conversion to AD in individuals with mild cognitive impairment (MCI
Externí odkaz:
https://doaj.org/article/9ed2b42866ef4ee6a802e7cc2c816108
Autor:
Bo Li, Marius de Groot, Rebecca M.E. Steketee, Rozanna Meijboom, Marion Smits, Meike W. Vernooij, M. Arfan Ikram, Jiren Liu, Wiro J. Niessen, Esther E. Bron
Publikováno v:
NeuroImage, Vol 218, Iss , Pp 116993- (2020)
Subtle changes in white matter (WM) microstructure have been associated with normal aging and neurodegeneration. To study these associations in more detail, it is highly important that the WM tracts can be accurately and reproducibly characterized fr
Externí odkaz:
https://doaj.org/article/4053c1599658498f8fc9a303ceceae0c