2026 Erik Meijering: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	43	7769	7545	247	246	159	14524

Research.com Recognitions

2019 - IEEE Fellow For contributions to computational methods for biological image analysis

Overview

Erik Meijering is affiliated with the University of New South Wales in Australia and has an extensive record of research primarily in computer science and medicine, with significant contributions to biochemistry, genetics, and molecular biology. Their work spans key subfields such as computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, biophysics, and molecular biology.

Their research topics include:

Cell Image Analysis Techniques
AI in cancer detection
Radiomics and Machine Learning in Medical Imaging
Digital Imaging for Blood Diseases
Advanced Neural Network Applications
Image Processing Techniques and Applications
Medical Image Segmentation Techniques

Meijering's publication record includes papers in several prominent scientific venues. Frequent publication venues are:

arXiv (Cornell University)
IEEE Transactions on Medical Imaging
Scientific Reports
bioRxiv (Cold Spring Harbor Laboratory)
Nature Methods

Selected recent papers authored or coauthored by Erik Meijering include:

"Metrics reloaded: recommendations for image analysis validation" (2024), Nature Methods
"The Cell Tracking Challenge: 10 years of objective benchmarking" (2023), Nature Methods
"Understanding metric-related pitfalls in image analysis validation" (2024), Nature Methods
"A bird's-eye view of deep learning in bioimage analysis" (2020), Computational and Structural Biotechnology Journal
"SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation" (2022), IEEE Transactions on Neural Networks and Learning Systems

Frequent collaborators include:

Arcot Sowmya
Yang Song
Min Liu
Yaonan Wang
Ewan K.A. Millar

In 2019, Erik Meijering was recognized as an IEEE Fellow for contributions to computational methods for biological image analysis.

Best Publications

Design and Validation of a Tool for Neurite Tracing and Analysis in Fluorescence Microscopy Images

E. Meijering;M. Jacob;J.-C.F. Sarria;P. Steiner

1855
Citations
Methods for cell and particle tracking.

Erik Meijering;Oleh Dzyubachyk;Ihor Smal

1662
Citations
Objective comparison of particle tracking methods

Nicolas Chenouard;Ihor Smal;Fabrice de Chaumont;Martin Maška;Martin Maška

1036
Citations
A chronology of interpolation: from ancient astronomy to modern signal and image processing

Unknown

790
Citations
Cell Segmentation: 50 Years Down the Road [Life Sciences]

E. Meijering

605
Citations
An objective comparison of cell-tracking algorithms

Vladimír Ulman;Martin Maška;Klas E G Magnusson;Olaf Ronneberger

592
Citations
A benchmark for comparison of cell tracking algorithms

Martin Maška;Vladimír Ulman;David Svoboda;Pavel Matula

483
Citations
Neuron tracing in perspective

Erik Meijering

465
Citations
Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy

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

402
Citations
Quantitative evaluation of convolution-based methods for medical image interpolation.

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

378
Citations
Tracking in cell and developmental biology.

Erik Meijering;Oleh Dzyubachyk;Ihor Smal;Wiggert A. van Cappellen

321
Citations
Quantitative Comparison of Spot Detection Methods in Fluorescence Microscopy

I. Smal;M. Loog;W. Niessen;E. Meijering

317
Citations
Tracking in molecular bioimaging

E. Meijering;I. Smal;G. Danuser

296
Citations
Super-resolution methods in MRI: can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time?

Esben Plenge;Dirk H. J. Poot;Monique Bernsen;Gyula Kotek

295
Citations
BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images

Hanchuan Peng;Michael Hawrylycz;Jane Roskams;Sean Hill

245
Citations
Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images: Application to Microtubule Growth Analysis

I. Smal;K. Draegestein;N. Galjart;W. Niessen

233
Citations
Imagining the future of bioimage analysis

Erik Meijering;Anne E Carpenter;Hanchuan Peng;Fred A Hamprecht

199
Citations
Retrospective motion correction in digital subtraction angiography: a review

E.H.W. Meijering;W.J. Niessen;M.A. Viegever

182
Citations
Image reconstruction by convolution with symmetrical piecewise nth-order polynomial kernels

E.H.W. Meijering;K.J. Zuiderveld;M.A. Viergever

168
Citations
A note on cubic convolution interpolation

E. Meijering;M. Unser

166
Citations
General multimodal elastic registration based on mutual information

J. B. Antoine Maintz;Erik H.W. Meijering;Max A. Viergever

156
Citations

Frequent Co-Authors

Wiro J. Niessen Erasmus University Rotterdam

Max A. Viergever Utrecht University

Anna Akhmanova Utrecht University

Jeroen Essers Erasmus University Rotterdam

Yaonan Wang Hunan University

Ivo F. Sbalzarini Max Planck Institute of Molecular Cell Biology and Genetics

Boudewijn P. F. Lelieveldt Leiden University Medical Center

Michael Unser École Polytechnique Fédérale de Lausanne

Lukas C. Kapitein Utrecht University

Niels Galjart Erasmus University Rotterdam

External Links

Personal website of Erik Meijering Google Scholar page

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