Martin van Gijzen

Martin van Gijzen

Technische Universiteit Delft

H-index: 23

Europe-Netherlands

About Martin van Gijzen

Martin van Gijzen, With an exceptional h-index of 23 and a recent h-index of 13 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of High Performance Computing, Numerical Analysis, Numerical Linear Algebra, Image Processing.

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

Numerical methods for ordinary differential equations

On‐site construction of a point‐of‐care low‐field MRI system in Africa

Mitigating undersampling errors in MR fingerprinting by sequence optimization

Parareal Method for Anisotropic Diffusion Denoising

Deep learning-based single image super-resolution for low-field MR brain images

Deflated preconditioned Conjugate Gradient methods for noise filtering of low-field MR images

Project: Iterative Sparse Solvers on the SX Aurora Vector Engine

A dictionary learning approach for joint reconstruction and denoising in low field magnetic resonance imaging

Martin van Gijzen Information

University

Position

Associate professor

Citations(all)

2204

Citations(since 2020)

619

Cited By

1801

hIndex(all)

23

hIndex(since 2020)

13

i10Index(all)

46

i10Index(since 2020)

17

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Martin van Gijzen Skills & Research Interests

High Performance Computing

Numerical Analysis

Numerical Linear Algebra

Image Processing

Top articles of Martin van Gijzen

Title

Journal

Author(s)

Publication Date

Numerical methods for ordinary differential equations

Claude Lacoursiere

2017/9/8

On‐site construction of a point‐of‐care low‐field MRI system in Africa

NMR in Biomedicine

Johnes Obungoloch

Ivan Muhumuza

Wouter Teeuwisse

Joshua Harper

Ivan Etoku

...

2023/7

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

Parareal Method for Anisotropic Diffusion Denoising

Xiujie Shan

Martin B van Gijzen

2022/9/11

Deep learning-based single image super-resolution for low-field MR brain images

Karansingh Chauhan

Shail Nimish Patel

Malaram Kumhar

Jitendra Bhatia

Sudeep Tanwar

...

2023/3/2

Deflated preconditioned Conjugate Gradient methods for noise filtering of low-field MR images

Journal of Computational and Applied Mathematics

Xiujie Shan

Martin B van Gijzen

2022/1/15

Project: Iterative Sparse Solvers on the SX Aurora Vector Engine

Jonas Thies

Martin van Gijzen

2021/6/4

A dictionary learning approach for joint reconstruction and denoising in low field magnetic resonance imaging

Emmanuel Ahishakiye

Martin Bastiaan VAN Gijzen

Xiujie Shan

Julius Tumwiine

Johnes Obungoloch

2021/5/10

Preconditioning Navier–Stokes control using multilevel sequentially semiseparable matrix computations

Numerical Linear Algebra with Applications

Yue Qiu

Martin B van Gijzen

Jan‐Willem van Wingerden

Michel Verhaegen

Cornelis Vuik

2021/3

Sequence optimisation for multi-component analysis in magnetic resonance fingerprinting

Proc Intl Soc Mag Reson Med

David Heesterbeek

Frans Vos

Martin van Gijzen

Martijn Nagtegaal

2021

Low-field magnetic resonance imaging using multiplicative regularization

Magnetic Resonance Imaging

Merel de Leeuw den Bouter

Martin van Gijzen

Rob Remis

2021/1/1

A survey on deep learning in medical image reconstruction

Emmanuel Ahishakiye

Martin Bastiaan Van Gijzen

Julius Tumwiine

Ruth Wario

Johnes Obungoloch

2021/11/28

Two solution strategies to improve the computational performance of sequentially linear analysis for quasi‐brittle structures

International Journal for Numerical Methods in Engineering

Manimaran Pari

Wouter Swart

Martin Bastiaan van Gijzen

MAN Hendriks

Jan G Rots

2020/5/30

Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging

Algorithms

Bogdan Dumitrescu

Ciprian Doru Giurcăneanu

2019/8/25

Description of a low-field MRI scanner based on permanent magnets

CVCS 2020 Colour and Visual Computing Symposium 2020 Proceedings of the 10th Colour and Visual Computing Symposium 2020 (CVCS 2020) Gjøvik, Norway, and Virtual, September 16-17, 2020

ML de Leeuw den Bouter

Dilan Gecmen

Angeline Meijer

DH de Gans

LNM Middelplaats

...

2020

A dictionary learning approach for noise-robust image reconstruction in low-field magnetic resonance imaging

Emmanuel Ahishakiye

Martin Bastiaan Van Gijzen

Julius Tumwiine

Johnes Obungoloch

2020/5/18

The embodiment of low-field MRI for the diagnosis of infant hydrocephalus in Uganda

Jan Carel Diehl

Frank van Doesum

Martien Bakker

Martin van Gijzen

Thomas O’Reilly

...

2020/10/29

Correcting image distortions caused by gradient nonlinearities in low-field MRI using a neural network

M de Leeuw den Bouter

M van Gijzen

R Remis

2020

Approximating Eigenvectors with Fixed-Point Arithmetic: A Step Towards Secure Spectral Clustering

Lisa Steverink

Thijs Veugen

Martin B van Gijzen

2020/8/22

Deflated preconditioned conjugate gradients for nonlinear diffusion image enhancement

Xiujie Shan

Martin van Gijzen

2020/8/22

See List of Professors in Martin van Gijzen University(Technische Universiteit Delft)

Co-Authors

H-index: 78
andrew webb

andrew webb

Universiteit Leiden

H-index: 62
Michel Verhaegen

Michel Verhaegen

Technische Universiteit Delft

H-index: 49
Kees Vuik

Kees Vuik

Technische Universiteit Delft

H-index: 45
Jan-Willem van Wingerden

Jan-Willem van Wingerden

Technische Universiteit Delft

H-index: 42
DANIEL B. SZYLD

DANIEL B. SZYLD

Temple University

H-index: 32
Gerard Sleijpen

Gerard Sleijpen

Universiteit Utrecht

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