World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
12658
World Ranking
10459
National Ranking
189

Overview

Marius Staring is affiliated with Leiden University Medical Center in the Netherlands and has contributed extensively to the field of medical imaging and related research areas. Their work predominantly focuses on advanced imaging techniques, radiomics, and the application of machine learning in medicine.

Their recent publications cover diverse topics within medical imaging and analysis, including segmentation and prediction techniques applied to various imaging modalities. Notable papers include:

  • Fully Automated 3D Vestibular Schwannoma Segmentation with and without Gadolinium-based Contrast Material: A Multicenter, Multivendor Study, 2022, Radiology Artificial Intelligence
  • Deep learning-based segmentation of the thorax in mouse micro-CT scans, 2022, Scientific Reports
  • Hierarchical Prediction of Registration Misalignment Using a Convolutional LSTM: Application to Chest CT Scans, 2021, IEEE Access
  • Deep learning in rheumatological image interpretation, 2024, Nature Reviews Rheumatology
  • Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1-weighted dataset, 2022, Magnetic Resonance in Medicine

Frequent coauthors collaborating with Staring include:

  • Matthias J.P. van Osch
  • Prerak Mody
  • Mohamed S. Elmahdy
  • Berend C. Stoel
  • Klaus Hildebrandt

Staring's publications span several key venues, reflecting their engagement with the broader research community in medical imaging and machine learning. These venues include:

  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • IEEE Access
  • Brain and Spine
  • The Journal of Machine Learning for Biomedical Imaging

Their main field of study is Medicine, with a focus on subfields including:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Radiation
  • Pulmonary and Respiratory Medicine

Staring's research incorporates several main topics, such as:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Advanced Radiotherapy Techniques
  • Medical Imaging and Analysis
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques
  • Lung Cancer Diagnosis and Treatment

Best Publications

  • elastix : A Toolbox for Intensity-Based Medical Image Registration

    S. Klein;M. Staring;K. Murphy;M.A. Viergever

  • A deep learning framework for unsupervised affine and deformable image registration

    Bob D. de Vos;Floris F. Berendsen;Max A. Viergever;Hessam Sokooti

  • Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease.

    Denis P Shamonin;Esther E Bron;Boudewijn P.F. Lelieveldt;Marion Smits

  • Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines

    S. Klein;M. Staring;J.P.W. Pluim

  • Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information.

    Stefan Klein;Uulke A. van der Heide;Irene M. Lips;Marco van Vulpen

  • Adaptive Stochastic Gradient Descent Optimisation for Image Registration

    Stefan Klein;Josien P. Pluim;Marius Staring;Max A. Viergever

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network

    Bob D. de Vos;Floris F. Berendsen;Max A. Viergever;Marius Staring

  • Multi-Atlas-Based Segmentation With Local Decision Fusion—Application to Cardiac and Aortic Segmentation in CT Scans

    I. Isgum;M. Staring;A. Rutten;M. Prokop

  • Nonrigid image registration using multi-scale 3D convolutional neural networks

    Hessam Sokooti;Bob D. de Vos;Floris F. Berendsen;Boudewijn P. F. Lelieveldt;Boudewijn P. F. Lelieveldt

  • A survey of medical image registration - under review

    Max A. Viergever;J.B. Antoine Maintz;Stefan Klein;Keelin Murphy

  • SimpleElastix: A User-Friendly, Multi-lingual Library for Medical Image Registration

    Kasper Marstal;Floris Berendsen;Marius Staring;Stefan Klein

  • A rigidity penalty term for nonrigid registration

    Marius Staring;Stefan Klein;Josien P. W. Pluim

  • Morphological maturation of the mouse brain: An in vivo MRI and histology investigation

    Luam Hammelrath;Siniša Škokić;Siniša Škokić;Artem Khmelinskii;Andreas Hess

  • Adaptive local multi-atlas segmentation : Application to the heart and the caudate nucleus

    Eva M. van Rikxoort;Ivana Isgum;Yulia Arzhaeva;Marius Staring

  • Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

    Rina D. Rudyanto;Sjoerd Kerkstra;Eva M. van Rikxoort;Catalin Fetita

  • Semi-automatic construction of reference standards for evaluation of image registration.

    K Murphy;van B Bram Ginneken;S Klein;M Staring

  • Registration of Cervical MRI Using Multifeature Mutual Information

    M. Staring;U.A. van der Heide;S. Klein;M.A. Viergever

  • Brain maturation of the adolescent rat cortex and striatum: Changes in volume and myelination

    Luam Mengler;Artem Khmelinskii;Michael Diedenhofen;Chrystelle Po

  • Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration

    Keelin Murphy;Bram Ginneken;Josien P. Pluim;Stefan Klein

  • A strain energy filter for 3D vessel enhancement with application to pulmonary CT images

    Changyan Xiao;Marius Staring;Denis P. Shamonin;Johan H. C. Reiber

Frequent Co-Authors

Boudewijn P. F. Lelieveldt
Boudewijn P. F. Lelieveldt Leiden University Medical Center
Stefan Klein
Stefan Klein Erasmus University Rotterdam
Josien P. W. Pluim
Josien P. W. Pluim Eindhoven University of Technology
Ivana Išgum
Ivana Išgum University of Amsterdam
Max A. Viergever
Max A. Viergever Utrecht University
Bram van Ginneken
Bram van Ginneken Radboud University
Ben Glocker
Ben Glocker Imperial College London
Ton Kalker
Ton Kalker Hewlett-Packard (United States)
Marleen de Bruijne
Marleen de Bruijne Erasmus University Rotterdam
Peter Börnert
Peter Börnert Philips (Finland)

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