Author

J‐Sebastian Muehlboeck

Observed names: J Sebastian Muehlboeck, J-Sebastian Muehlboeck, J.-Sebastian Muehlboeck, J.‐S. Muehlboeck, Muehlboeck, J. -Sebastian, Muehlboeck, J.-S.

Institution: Karolinska Institutet

Observed institutions: Mayo Clinic, Stockholm University, King's College London, German Center for Neurodegenerative Diseases, Karolinska Institutet, LMU Klinikum, Centre for Mental Health, National Institute for Health and Care Research, Kings Health Partners, Instituto de Biomedicina de Sevilla, Institut für Schlaganfall- und Demenzforschung, Ludwig-Maximilians-Universität München, Universität Trier

OpenAlex ID: A5006324808

Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion

2012 · Eric Westman, J-Sebastian Muehlboeck, et al. · NeuroImage · 302

Distinct subtypes of Alzheimer’s disease based on patterns of brain atrophy: longitudinal trajectories and clinical applications

2017 · Daniel Ferreira, Chloë Verhagen, et al. · Scientific Reports · 226

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Regional Magnetic Resonance Imaging Measures for Multivariate Analysis in Alzheimer’s Disease and Mild Cognitive Impairment

2012 · Eric Westman, Carlos Aguilar, et al. · Brain Topography · 207

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Multivariate analysis of MRI data for Alzheimer's disease, mild cognitive impairment and healthy controls

2010 · Eric Westman, Andrew Simmons, et al. · NeuroImage · 137

AddNeuroMed and ADNI: Similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America

2011 · Eric Westman, Andrew Simmons, et al. · NeuroImage · 135

Entorhinal Cortex Thickness Predicts Cognitive Decline in Alzheimer's Disease

2013 · Latha Velayudhan, Petroula Proitsi, et al. · Journal of Alzheimer s Disease · 126

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Sensitivity and Specificity of Medial Temporal Lobe Visual Ratings and Multivariate Regional MRI Classification in Alzheimer's Disease

2011 · Eric Westman, Lena Cavallin, et al. · PLoS ONE · 122

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Practical cut‐offs for visual rating scales of medial temporal, frontal and posterior atrophy in A lzheimer's disease and mild cognitive impairment

2015 · D. Ferreira, L. Cavallin, et al. · Journal of Internal Medicine · 121

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Different multivariate techniques for automated classification of MRI data in Alzheimer’s disease and mild cognitive impairment

2013 · Carlos Aguilar, Eric Westman, et al. · Psychiatry Research Neuroimaging · 112

TheHiveDB image data management and analysis framework

2014 · J-Sebastian Muehlboeck, Eric Westman, et al. · Frontiers in Neuroinformatics · 109

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Cholinergic white matter pathways make a stronger contribution to attention and memory in normal aging than cerebrovascular health and nucleus basalis of Meynert

2020 · Milan Nemy, Nira Cedres, et al. · NeuroImage · 96

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Automated Hippocampal Subfield Measures as Predictors of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease in Two Independent Cohorts

2014 · Wasim Khan, Eric Westman, et al. · Brain Topography · 88

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Alterations in cortical thickness development in preterm-born individuals: Implications for high-order cognitive functions

2015 · Kie Woo Nam, Nazareth Castellanos, et al. · NeuroImage · 85

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Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer’s disease

2022 · Konstantinos Poulakis, Joana B. Pereira, et al. · Nature Communications · 84

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Classification and prediction of clinical diagnosis of Alzheimer's disease based on MRI and plasma measures of α‐/γ‐tocotrienols and γ‐tocopherol

2013 · F. Mangialasche, E. Westman, et al. · Journal of Internal Medicine · 67

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An MRI‐based index to measure the severity of Alzheimer's disease‐like structural pattern in subjects with mild cognitive impairment

2013 · G. Spulber, A. Simmons, et al. · Journal of Internal Medicine · 62

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A deep learning model for brain age prediction using minimally preprocessed T1w images as input

2024 · Caroline Dartora, Anna Marseglia, et al. · Frontiers in Aging Neuroscience · 44

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Differential Associations of IL-4 With Hippocampal Subfields in Mild Cognitive Impairment and Alzheimer’s Disease

2019 · Virginia Boccardi, Eric Westman, et al. · Frontiers in Aging Neuroscience · 42

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A Multi-Cohort Study of ApoE ɛ4 and Amyloid-β Effects on the Hippocampus in Alzheimer’s Disease

2017 · Wasim Khan, Alzheimer–s Disease Neuroimaging Initiative, et al. · Journal of Alzheimer s Disease · 42

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Comparison of subtyping methods for neuroimaging studies in Alzheimer’s disease: a call for harmonization

2020 · Rosaleena Mohanty, Gustav Mårtensson, et al. · Brain Communications · 37

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Measuring Global Brain Atrophy with the Brain Volume/Cerebrospinal Fluid Index: Normative Values, Cut-Offs and Clinical Associations

2015 · Camila Orellana, Daniel Ferreira, et al. · Neurodegenerative Diseases · 36

Application of a MRI based index to longitudinal atrophy change in Alzheimer disease, mild cognitive impairment and healthy older individuals in the AddNeuroMed cohort

2014 · Carlos Aguilar, J-Sebastian Muehlboeck, et al. · Frontiers in Aging Neuroscience · 34

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Monitoring disease progression in mild cognitive impairment: Associations between atrophy patterns, cognition, APOE and amyloid

2017 · Farshad Falahati, Daniel Ferreira, et al. · NeuroImage Clinical · 33

Neuropathologic Features of Antemortem Atrophy-Based Subtypes of Alzheimer Disease

2022 · Rosaleena Mohanty, Daniel Ferreira, et al. · Neurology · 32

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Shape Information Improves the Cross-Cohort Performance of Deep Learning-Based Segmentation of the Hippocampus

2020 · Irene Brusini, Olof Lindberg, et al. · Frontiers in Neuroscience · 28

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Works count: 57

Citation count: 2,593

H-index: 26

I10-index: 32