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Dirk Vandermeulen

Dirk Vandermeulen

D-Index & Metrics

Computer Science

D-Index
59
Citations
25335
World Ranking
3331
National Ranking
33

Overview

Dirk Vandermeulen is affiliated with KU Leuven in Belgium and has a research focus that spans medicine and computer science, with a significant emphasis on medical imaging applications. Their work intersects multiple subfields, including radiology, nuclear medicine and imaging, computer vision and pattern recognition, biomedical engineering, artificial intelligence, and oral surgery.

The scientist has contributed extensively to topics such as radiomics and machine learning in medical imaging, forensic anthropology and bioarchaeology studies, medical imaging and analysis, COVID-19 diagnosis using AI, dental radiography and imaging, brain tumor detection and classification, and medical image segmentation techniques.

Recent publications by Dirk Vandermeulen include the following:

  • Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index, 2020, IEEE Transactions on Medical Imaging
  • Towards fully automated third molar development staging in panoramic radiographs, 2020, International Journal of Legal Medicine
  • Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences, 2021, IEEE Transactions on Biomedical Engineering
  • Deep learning-based dental implant recognition using synthetic X-ray images, 2022, Medical & Biological Engineering & Computing
  • Three-dimensional image volumes from two-dimensional digitally reconstructed radiographs: A deep learning approach in lower limb CT scans, 2021, Medical Physics

Dirk Vandermeulen collaborates with several frequent coauthors, including:

  • Jeroen Bertels (18 joint publications)
  • Peter Claes (13 joint publications)
  • David Robben (12 joint publications)
  • Frederik Maes (11 joint publications)
  • Sofie Tilborghs (6 joint publications)

Their research has appeared in various academic venues, with multiple publications in the following journals and platforms:

  • arXiv (Cornell University) - 10 publications
  • Forensic Science International - 3 publications
  • International Journal of Legal Medicine - 2 publications
  • Bone Reports - 2 publications
  • Zenodo (CERN European Organization for Nuclear Research) - 2 publications

Best Publications

  • Multimodality image registration by maximization of mutual information

    F. Maes;A. Collignon;D. Vandermeulen;G. Marchal

  • Automated multi-moda lity image registration based on information theory

    Andre M.F. Collignon;Frederik Maes;D. Delaere;Dirk Vandermeulen

  • Automated model-based tissue classification of MR images of the brain

    K. Van Leemput;F. Maes;D. Vandermeulen;P. Suetens

  • Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

    West J;Fitzpatrick Jm;Wang My;Dawant Bm

  • Multi-modality image registration by maximization of mutual information

    F. Maes;A. Collignon;D. Vandermeulen;G. Marchal

  • Automated model-based bias field correction of MR images of the brain

    K. Van Leemput;F. Maes;D. Vandermeulen;P. Suetens

  • Medical image registration using mutual information

    F. Maes;D. Vandermeulen;P. Suetens

  • Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information.

    Frederik Maes;Dirk Vandermeulen;Paul Suetens

  • Automated segmentation of multiple sclerosis lesions by model outlier detection

    K. Van Leemput;F. Maes;D. Vandermeulen;A. Colchester

  • Comparison and evaluation of retrospective intermodality image registration techniques

    Jay B. West;J. Michael Fitzpatrick;Matthew Yang Wang;Benoit M. Dawant

  • 3D Multi-Modality Medical Image Registration Using Feature Space Clustering

    André Collignon;Dirk Vandermeulen;Paul Suetens;Guy Marchal

  • Multi-modality image registration by maximization of mutual information

    Frederik Maes;Dirk Vandermeulen;Paul Suetens

  • A unifying framework for partial volume segmentation of brain MR images

    K. Van Leemput;F. Maes;D. Vandermeulen;P. Suetens

  • Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index

    Tom Eelbode;Jeroen Bertels;Maxim Berman;Dirk Vandermeulen

  • Large-scale in-vivo Caucasian facial soft tissue thickness database for craniofacial reconstruction.

    S. De Greef;P. Claes;D. Vandermeulen;W. Mollemans

  • Nonrigid Image Registration Using Conditional Mutual Information

    D. Loeckx;P. Slagmolen;F. Maes;D. Vandermeulen

  • A viscous fluid model for multimodal non-rigid image registration using mutual information

    Emiliano D'Agostino;Frederik Maes;Dirk Vandermeulen;Paul Suetens

  • Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice

    Jeroen Bertels;Tom Eelbode;Maxim Berman;Dirk Vandermeulen

  • Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. I. Methodology and validation on normal subjects

    B.M. Dawant;S.L. Hartmann;J.-P. Thirion;F. Maes

  • Automated multi-modality image registration based on information theory

    André Collignon;Frederik Maes;Dominique Delaere;Dirk Vandermeulen

  • Multi-modal volume registration by maximization of mutual information

    Frederik Maes;Andre M.F. Collignon;Dirk Vandermeulen;Guy Marchal

  • Clinical relevance of fully automated multimodality image registration by maximization of mutual information

    Frederik Maes;Dirk Vandermeulen;Guy Marchal;Paul Suetens

Frequent Co-Authors

Paul Suetens
Paul Suetens KU Leuven
Frederik Maes
Frederik Maes KU Leuven
Koen Van Leemput
Koen Van Leemput Harvard University
Mark D. Shriver
Mark D. Shriver Pennsylvania State University
Benoit M. Dawant
Benoit M. Dawant Vanderbilt University

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