Rob Remis

Rob Remis

Technische Universiteit Delft

H-index: 20

Europe-Netherlands

About Rob Remis

Rob Remis, With an exceptional h-index of 20 and a recent h-index of 16 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Electromagnetism, MRI, Krylov subspace reduction, imaging and inversion.

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

Characterization of concomitant gradient fields and their effects on image distortions using a low‐field point‐of‐care Halbach‐based MRI system

Segmented RF shield design to minimize eddy currents for low-field Halbach MRI systems

Improved Multiplicative Regularization for CSI-EPT

Solving inverse scattering problems via reduced-order model embedding procedures

An integrated target field framework for point-of-care halbach array low-field MRI system design

Radiofrequency safety of high permittivity pads in MRI—Impact of insulation material

Deep Learning on Preoperative Radiographs for Clinical Success Prediction after Surgery for Cervical Degenerative Disease

Fast subject-specific local SAR and B1+ prediction for PTx at 7T using only an initial localizer scan

Rob Remis Information

University

Position

___

Citations(all)

1315

Citations(since 2020)

736

Cited By

874

hIndex(all)

20

hIndex(since 2020)

16

i10Index(all)

34

i10Index(since 2020)

23

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Rob Remis Skills & Research Interests

Electromagnetism

MRI

Krylov subspace reduction

imaging and inversion

Top articles of Rob Remis

Title

Journal

Author(s)

Publication Date

Characterization of concomitant gradient fields and their effects on image distortions using a low‐field point‐of‐care Halbach‐based MRI system

Magnetic Resonance in Medicine

Bart de Vos

Rob F Remis

Andrew G Webb

2024/2

Segmented RF shield design to minimize eddy currents for low-field Halbach MRI systems

Journal of Magnetic Resonance

Bart de Vos

Rob Remis

Andrew Webb

2024/5/1

Improved Multiplicative Regularization for CSI-EPT

IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology

Florens Helfferich

Peter M van den Berg

Rob F Remis

2024/2/16

Solving inverse scattering problems via reduced-order model embedding procedures

Inverse Problems

Jörn Zimmerling

Vladimir Druskin

Murthy Guddati

Elena Cherkaev

Rob Remis

2023/12/22

An integrated target field framework for point-of-care halbach array low-field MRI system design

Magnetic Resonance Materials in Physics, Biology and Medicine

Bart de Vos

Rob F Remis

Andrew G Webb

2023/7

Radiofrequency safety of high permittivity pads in MRI—Impact of insulation material

Magnetic resonance in medicine

Wyger M Brink

Rob F Remis

Andrew G Webb

2023/5

Deep Learning on Preoperative Radiographs for Clinical Success Prediction after Surgery for Cervical Degenerative Disease

Brain and Spine

Caroline Goedmakers

Leonie Pereboom

Merel de Leeuw den Bouter

Rob Remis

Marius Staring

...

2023/1/1

Fast subject-specific local SAR and B1+ prediction for PTx at 7T using only an initial localizer scan

Proceedings of the 30th Joint Annual ISMRM-ESMRMB Meeting, London, UK

Wyger Brink

Marius Staring

Rob Remis

Andrew Webb

2022

Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1‐weighted dataset

Magnetic resonance in medicine

Wyger M Brink

Sahar Yousefi

Prernna Bhatnagar

Rob F Remis

Marius Staring

...

2022/7

Generalized Signal Models and Direct FID-Based Dielectric Parameter Retrieval in MRI

IEEE Transactions on Antennas and Propagation

Patrick S. Fuchs

Rob F. Remis

2022

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

Learning a preconditioner to accelerate compressed sensing reconstructions in MRI

Magnetic Resonance in Medicine

Kirsten Koolstra

Rob Remis

2022/4

Combining deep learning and 3D contrast source inversion in MR‐based electrical properties tomography

NMR in Biomedicine

Reijer Leijsen

Cornelis van den Berg

Andrew Webb

Rob Remis

Stefano Mandija

2022/4

Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods

CMW Goedmakers

LM Pereboom

JW Schoones

ML de Leeuw den Bouter

RF Remis

...

2022/1/1

Design, Characterisation and Performance of an Improved Portable and Sustainable Low-Field MRI System

Frontiers in Physics

Bart de Vos

Javad Parsa

Zaynab Abdulrazaq

Wouter M Teeuwisse

Camille DE Van Speybroeck

...

2021/7/26

Low-field magnetic resonance imaging using multiplicative regularization

Magnetic Resonance Imaging

Merel de Leeuw den Bouter

Martin van Gijzen

Rob Remis

2021/1/1

Inversion of incomplete spectral data using support information with an application to magnetic resonance imaging

Journal of Physics Communications

Merel L de Leeuw den Bouter

Peter M Van den Berg

Rob F Remis

2021/5/12

Effects of Simulated Error-Sources on Different 3-D CSI-EPT Strategies

IEEE Transactions on Computational Imaging

Reijer L Leijsen

Wyger M Brink

Andrew G Webb

Rob F Remis

2021/7/7

Towards Quantitative Magnetisation Mapping

arXiv preprint arXiv:2109.02097

Rob F Remis

Peter M van den Berg

2021/9/5

Transceive phase corrected 2D contrast source inversion‐electrical properties tomography

Magnetic Resonance in Medicine

Peter RS Stijnman

Stefano Mandija

Patrick S Fuchs

Cornelis AT van den Berg

Rob F Remis

2021/5

See List of Professors in Rob Remis University(Technische Universiteit Delft)

Co-Authors

H-index: 78
andrew webb

andrew webb

Universiteit Leiden

H-index: 49
Peter M van den Berg

Peter M van den Berg

Technische Universiteit Delft

H-index: 46
c.a.t. van den berg

c.a.t. van den berg

Universiteit Utrecht

H-index: 40
Vladimir Druskin

Vladimir Druskin

Worcester Polytechnic Institute

H-index: 7
Jörn Torsten Zimmerling

Jörn Torsten Zimmerling

University of Michigan

academic-engine