f.m.vos

f.m.vos

Technische Universiteit Delft

H-index: 39

Europe-Netherlands

About f.m.vos

f.m.vos, With an exceptional h-index of 39 and a recent h-index of 20 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Medical image analysis.

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

Mitigating undersampling errors in MR fingerprinting by sequence optimization

White matter changes measured by multi-component MR Fingerprinting in multiple sclerosis

Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting

Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction

Reconstructing unseen modalities and pathology with an efficient Recurrent Inference Machine

Sharpness in motion corrected quantitative imaging at 7T

Detection of small cerebral lesions using multi-component MR Fingerprinting with local joint sparsity

Spatial versus angular resolution for tractography-assisted planning of deep brain stimulation

f.m.vos Information

University

Position

Associate Professor AMC

Citations(all)

4817

Citations(since 2020)

1514

Cited By

3984

hIndex(all)

39

hIndex(since 2020)

20

i10Index(all)

91

i10Index(since 2020)

46

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

f.m.vos Skills & Research Interests

Medical image analysis

Top articles of f.m.vos

Title

Journal

Author(s)

Publication Date

Mitigating undersampling errors in MR fingerprinting by sequence optimization

Magnetic Resonance in Medicine

David GJ Heesterbeek

Kirsten Koolstra

Matthias JP van Osch

Martin B van Gijzen

Franciscus M Vos

...

2023/5

White matter changes measured by multi-component MR Fingerprinting in multiple sclerosis

NeuroImage: Clinical

Martijn A Nagtegaal

Ingo Hermann

Sebastian Weingärtner

Eloy Martinez-Heras

Elisabeth Solana

...

2023/1/1

Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting

NeuroImage

Laura Nunez-Gonzalez

MA Nagtegaal

Dirk HJ Poot

Jeroen de Bresser

Matthias JP van Osch

...

2022/11/1

Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction

Physics in Medicine & Biology

Dimitrios Karkalousos

Samantha Noteboom

Hanneke E Hulst

Frans M Vos

Matthan WA Caan

2022/6/8

Reconstructing unseen modalities and pathology with an efficient Recurrent Inference Machine

arXiv preprint arXiv:2012.07819

Dimitrios Karkalousos

Kai Lønning

Hanneke E Hulst

Serge O Dumoulin

Jan-Jakob Sonke

...

2020/12/14

Sharpness in motion corrected quantitative imaging at 7T

NeuroImage

Pierre-Louis Bazin

Hannah E Nijsse

Wietske van der Zwaag

Daniel Gallichan

Anneke Alkemade

...

2020/11/15

Detection of small cerebral lesions using multi-component MR Fingerprinting with local joint sparsity

MA Nagtegaal

Ingo Hermann

SD Weingärtner

Jeroen de Bresser

FM Vos

2020

Spatial versus angular resolution for tractography-assisted planning of deep brain stimulation

NeuroImage: Clinical

Luka C Liebrand

Guido A van Wingen

Frans M Vos

Damiaan Denys

Matthan WA Caan

2020/1/1

See List of Professors in f.m.vos University(Technische Universiteit Delft)

Co-Authors

H-index: 85
Stefan Sunaert

Stefan Sunaert

Katholieke Universiteit Leuven

H-index: 83
Ivo HM van Stokkum

Ivo HM van Stokkum

Vrije Universiteit Amsterdam

H-index: 72
James S. Duncan

James S. Duncan

Yale University

H-index: 62
Henri Bal

Henri Bal

Vrije Universiteit Amsterdam

H-index: 59
Emil Petriu

Emil Petriu

Ottawa University

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