World's Best Scientists 2026 revealed!
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Computer Science
Netherlands
2026

D-Index & Metrics

Computer Science

D-Index
92
Citations
33287
World Ranking
545
National Ranking
4

Medicine

D-Index
105
Citations
45864
World Ranking
6715
National Ranking
256

Research.com Recognitions

  • 2026 - Research.com Computer Science in Netherlands Leader Award
  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2023 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award
  • 2017 - Royal Netherlands Academy of Arts and Sciences

Overview

Wiro J. Niessen is affiliated with the University Medical Center Groningen in the Netherlands. Their research primarily spans the field of Medicine, with a focus on several subfields including Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics, and Pediatrics, Perinatology and Child Health.

The scientist's work covers a range of topics, notably:

  • Radiomics and Machine Learning in Medical Imaging
  • Dementia and Cognitive Impairment Research
  • Cerebrovascular and Carotid Artery Diseases
  • Advanced Neuroimaging Techniques and Applications
  • Acute Ischemic Stroke Management
  • Advanced MRI Techniques and Applications
  • Fetal and Pediatric Neurological Disorders

Wiro J. Niessen has published extensively, frequently contributing to venues such as:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Alzheimer's & Dementia

Among the recent papers associated with the broader research community connected to Niessen's domain are:

  • "Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations" (2020, European Radiology)
  • "Cerebral small vessel disease genomics and its implications across the lifespan" (2020, Nature Communications)
  • "Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning" (2022, Neuro-Oncology)
  • "GenNet framework: interpretable deep learning for predicting phenotypes from genetic data" (2021, Communications Biology)
  • "Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI" (2020, European Radiology)

Frequent collaborators within their research network include:

  • Stefan Klein (51 co-authored papers)
  • Meike W. Vernooij (28 co-authored papers)
  • Esther E. Bron (26 co-authored papers)
  • M. Arfan Ikram (23 co-authored papers)
  • Martijn P. A. Starmans (20 co-authored papers)

In 2017, Wiro J. Niessen received recognition from the Royal Netherlands Academy of Arts and Sciences. This highlights an acknowledged role within the scientific community.

Best Publications

  • Muliscale Vessel Enhancement Filtering

    Alejandro F. Frangi;Wiro J. Niessen;Koen L. Vincken;Max A. Viergever

  • Incidental findings on brain MRI in the general population.

    Meike W Vernooij;M Arfan Ikram;Hervé L Tanghe;Arnaud J P E Vincent

  • Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.

    L Schmaal;D P Hibar;P G Sämann;G B Hall

  • Prevalence and risk factors of cerebral microbleeds The Rotterdam Scan Study

    M. W. Vernooij;A. van der Lugt;M. A. Ikram;P. A. Wielopolski

  • Three-dimensional modeling for functional analysis of cardiac images, a review

    A.F. Frangi;W.J. Niessen;M.A. Viergever

  • Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling

    A.F. Frangi;D. Rueckert;J.A. Schnabel;W.J. Niessen

  • Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001

    Wiro J. Niessen;Max A. Viergever

  • Model-based quantitation of 3-D magnetic resonance angiographic images

    A.F. Frangi;W.J. Niessen;R.M. Hoogeveen;T. van Walsum

  • Cerebral microbleeds are associated with worse cognitive function: the Rotterdam Scan Study.

    M.M.F. Poels;M.A. Ikram;A. van der Lugt;A. Hofman

  • Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms

    Michiel Schaap;Coert T. Metz;Theo van Walsum;Alina G. van der Giessen

  • Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy

    O. Dzyubachyk;W.A. van Cappellen;J. Essers;W.J. Niessen

  • Kidney Function Is Related to Cerebral Small Vessel Disease

    M. Arfan Ikram;Meike W. Vernooij;Albert Hofman;Wiro J. Niessen

  • Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

    Esther E. Bron;Marion Smits;Wiesje M. van der Flier;Hugo Vrenken

  • White Matter Microstructural Integrity and Cognitive Function in a General Elderly Population

    Meike W. Vernooij;M. Arfan Ikram;Henri A. Vrooman;Piotr A. Wielopolski

  • A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans

    Fan Liu;Fedde van der Lijn;Claudia Schurmann;Gu Zhu

  • Quantitative evaluation of convolution-based methods for medical image interpolation.

    Erik H.W. Meijering;Wiro J. Niessen;Max A. Viergever

  • White matter lesion extension to automatic brain tissue segmentation on MRI

    Renske de Boer;Henri A. Vrooman;Fedde van der Lijn;Meike W. Vernooij

  • Novel genetic loci associated with hippocampal volume

    Derrek Hibar;Hieab H.H. Adams;Neda Jahanshad;Ganesh Chauhan

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • Fast delineation and visualization of vessels in 3-D angiographic images

    O. Wink;W.J. Niessen;M.A. Viergever

  • Automated segmentation of the left ventricle in cardiac MRI.

    Michael R. Kaus;Jens von Berg;Jürgen Weese;Wiro Niessen

  • Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group

    L. Schmaal;D.J. Veltman;T.G.M. van Erp;P.G. Sämann

Frequent Co-Authors

Meike W. Vernooij
Meike W. Vernooij Erasmus University Rotterdam
Aad van der Lugt
Aad van der Lugt Erasmus University Rotterdam
M. Arfan Ikram
M. Arfan Ikram Erasmus University Rotterdam
Stefan Klein
Stefan Klein Erasmus University Rotterdam
Albert Hofman
Albert Hofman Harvard University
Max A. Viergever
Max A. Viergever Utrecht University
Monique M.B. Breteler
Monique M.B. Breteler German Center for Neurodegenerative Diseases
Marleen de Bruijne
Marleen de Bruijne Erasmus University Rotterdam
Erik Meijering
Erik Meijering University of New South Wales

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