Frederik Barkhof

Frederik Barkhof

Vrije Universiteit Amsterdam

H-index: 191

Europe-Netherlands

About Frederik Barkhof

Frederik Barkhof, With an exceptional h-index of 191 and a recent h-index of 107 (since 2020), a distinguished researcher at Vrije Universiteit Amsterdam, specializes in the field of brain, MRI, multiple sclerosis, dementia, Alzheimer.

His recent articles reflect a diverse array of research interests and contributions to the field:

A fully automated deep-learning model for predicting the molecular subtypes of posterior fossa ependymomas using T2-weighted images

Ocrelizumab exposure in relapsing–remitting multiple sclerosis: 10-year analysis of the phase 2 randomized clinical trial and its extension

Brain Tumor Imaging without Gadolinium-based Contrast Agents: Feasible or Fantasy?

Sex differences in brain atrophy in dementia with Lewy bodies

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training

Assessing brain involvement in Fabry disease with deep learning and the brain‐age paradigm

Multimodal MRI study on the relation between WM integrity and connected GM atrophy and its effect on disability in early multiple sclerosis

Longitudinal fibre-specific white matter damage predicts cognitive decline in multiple sclerosis

Frederik Barkhof Information

University

Vrije Universiteit Amsterdam

Position

VU University Medical Center

Citations(all)

162541

Citations(since 2020)

65943

Cited By

121227

hIndex(all)

191

hIndex(since 2020)

107

i10Index(all)

1199

i10Index(since 2020)

939

Email

University Profile Page

Vrije Universiteit Amsterdam

Frederik Barkhof Skills & Research Interests

brain

MRI

multiple sclerosis

dementia

Alzheimer

Top articles of Frederik Barkhof

Title

Journal

Author(s)

Publication Date

A fully automated deep-learning model for predicting the molecular subtypes of posterior fossa ependymomas using T2-weighted images

Clinical Cancer Research

Dan Cheng

Zhizheng Zhuo

Jiang Du

Jinyuan Weng

Chengzhou Zhang

...

2024/1/5

Ocrelizumab exposure in relapsing–remitting multiple sclerosis: 10-year analysis of the phase 2 randomized clinical trial and its extension

Journal of neurology

Ludwig Kappos

Anthony Traboulsee

David KB Li

Amit Bar-Or

Frederik Barkhof

...

2024/2

Brain Tumor Imaging without Gadolinium-based Contrast Agents: Feasible or Fantasy?

Ivar JHG Wamelink

Aynur Azizova

Thomas C Booth

Henk JMM Mutsaerts

Afolabi Ogunleye

...

2024/2/6

Sex differences in brain atrophy in dementia with Lewy bodies

Alzheimer's & Dementia

Javier Oltra

Annegret Habich

Christopher G Schwarz

Zuzana Nedelska

Scott A Przybelski

...

2024/3

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training

Medical Image Analysis

Daniele Ravi

Frederik Barkhof

Daniel C Alexander

Lemuel Puglisi

Geoffrey JM Parker

...

2024/1/1

Assessing brain involvement in Fabry disease with deep learning and the brain‐age paradigm

Human brain mapping

Alfredo Montella

Mario Tranfa

Alessandra Scaravilli

Frederik Barkhof

Arturo Brunetti

...

2024/4

Multimodal MRI study on the relation between WM integrity and connected GM atrophy and its effect on disability in early multiple sclerosis

Journal of neurology

Merlin M Weeda

DR van Nederpelt

JWR Twisk

I Brouwer

JPA Kuijer

...

2024/1

Longitudinal fibre-specific white matter damage predicts cognitive decline in multiple sclerosis

Brain Communications

Ismail Koubiyr

Eva A Krijnen

Anand JC Eijlers

Iris Dekker

Hanneke E Hulst

...

2024

Impact of simulated reduced injected dose on the assessment of amyloid PET scans

European journal of nuclear medicine and molecular imaging

Peter Young

Fiona Heeman

Jan Axelsson

Lyduine E Collij

Anne Hitzel

...

2024/2

Combining multimodal connectivity information improves modelling of pathology spread in Alzheimer’s disease

Imaging Neuroscience

Elinor Thompson

Anna Schroder

Tiantian He

Cameron Shand

Sonja Soskic

...

2024/2/5

Validation of a semi-automated method to quantify lesion volume changes in multiple sclerosis on 2D proton-density-weighted scans based on image subtraction

Neuroimage: Reports

Rozemarijn M Mattiesing

Serena Stel

Alysha S Mangroe

Iman Brouwer

Adriaan Versteeg

...

2024/3/1

Association Between Years of Education and Amyloid Burden in Patients With Subjective Cognitive Decline, MCI, and Alzheimer Disease

Neurology

Merle Hönig

Daniele Altomare

Camilla Caprioglio

Lyduine Collij

Frederik Barkhof

...

2024/3/26

A systematic review of (semi-) automatic quality control of T1-weighted MRI scans

Janine Hendriks

Henk-Jan Mutsaerts

Richard Joules

Óscar Peña-Nogales

Paulo R Rodrigues

...

2024/1

Disentangling neurodegeneration from ageing in multiple sclerosis: the brain-predicted disease duration gap

medRxiv

Giuseppe Pontillo

Ferran Prados

Jordan Colman

Baris Kanber

Omar Abdel-Mannan

...

2024

Rates of cortical thinning in Alzheimer’s disease signature regions associate with vascular burden but not with β-amyloid status in cognitively normal adults at age 70

Journal of Neurology, Neurosurgery & Psychiatry

Sarah E Keuss

William Coath

David M Cash

Josephine Barnes

Jennifer M Nicholas

...

2024/1/10

Demographic, clinical, biomarker, and neuropathological correlates of posterior cortical atrophy: an international cohort study and individual participant data meta-analysis

The Lancet Neurology

Marianne Chapleau

Renaud La Joie

Keir Yong

Federica Agosta

Isabel Elaine Allen

...

2024/2/1

Leukoencephalopathy caused by a 17p13. 3 microdeletion

Journal of Neurology, Neurosurgery & Psychiatry

Charles Wade

Thomas Williams

Robyn Labrum

Yogen Patel

Elisa Cali

...

2024/3/1

The cognitive relevance of non-lesional damage to cortical networks in people with multiple sclerosis

Journal of neurology

Eva A Krijnen

Tommy AA Broeders

Samantha Noteboom

Maureen van Dam

Albulena Bajrami

...

2024/3/5

Prognostic value of single-subject grey matter networks in early multiple sclerosis

Brain

Vinzenz Fleischer

Gabriel Gonzalez-Escamilla

Deborah Pareto

Alex Rovira

Jaume Sastre-Garriga

...

2024/1

Open Peer Review Reports: A Pilot Project in Neurology®

Patricia K Baskin

Frederik Barkhof

Rebecca Burch

Brian C Callaghan

Olga Ciccarelli

...

2024/5/14

See List of Professors in Frederik Barkhof University(Vrije Universiteit Amsterdam)

Frederik Barkhof FAQs

What is Frederik Barkhof's h-index at Vrije Universiteit Amsterdam?

The h-index of Frederik Barkhof has been 107 since 2020 and 191 in total.

What are Frederik Barkhof's top articles?

The articles with the titles of

A fully automated deep-learning model for predicting the molecular subtypes of posterior fossa ependymomas using T2-weighted images

Ocrelizumab exposure in relapsing–remitting multiple sclerosis: 10-year analysis of the phase 2 randomized clinical trial and its extension

Brain Tumor Imaging without Gadolinium-based Contrast Agents: Feasible or Fantasy?

Sex differences in brain atrophy in dementia with Lewy bodies

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training

Assessing brain involvement in Fabry disease with deep learning and the brain‐age paradigm

Multimodal MRI study on the relation between WM integrity and connected GM atrophy and its effect on disability in early multiple sclerosis

Longitudinal fibre-specific white matter damage predicts cognitive decline in multiple sclerosis

...

are the top articles of Frederik Barkhof at Vrije Universiteit Amsterdam.

What are Frederik Barkhof's research interests?

The research interests of Frederik Barkhof are: brain, MRI, multiple sclerosis, dementia, Alzheimer

What is Frederik Barkhof's total number of citations?

Frederik Barkhof has 162,541 citations in total.