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Theo van Walsum

Theo van Walsum

D-Index & Metrics

Computer Science

D-Index
42
Citations
6519
World Ranking
8478
National Ranking
142

Overview

Theo van Walsum is affiliated with Erasmus MC in the Netherlands and is active in research primarily within the field of Medicine. Their work spans several subfields including Radiology, Nuclear Medicine and Imaging, Epidemiology, Pulmonary and Respiratory Medicine, Surgery, and Biomedical Engineering.

Their research covers various specialized topics, reflecting a focus on imaging and clinical management, particularly in vascular and neurological contexts. Key areas of study include:

  • Acute Ischemic Stroke Management
  • Cerebrovascular and Carotid Artery Diseases
  • Retinal Imaging and Analysis
  • Surgical Simulation and Training
  • Glaucoma and retinal disorders
  • Retinal Diseases and Treatments
  • Augmented Reality Applications

Theo van Walsum's publication record includes contributions to numerous journals, with frequent appearances in:

  • International Journal of Computer Assisted Radiology and Surgery (9 publications)
  • arXiv (Cornell University) (8 publications)
  • Medical Image Analysis (7 publications)
  • Medical Physics (5 publications)
  • Neuroradiology (4 publications)

Recent papers reflecting their work are:

  • "Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering," 2020, Medical Image Analysis
  • "Automatic Collateral Scoring From 3D CTA Images," 2020, IEEE Transactions on Medical Imaging
  • "autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients," 2021, IEEE Transactions on Medical Imaging
  • "Adaptive optics ophthalmoscopy: a systematic review of vascular biomarkers," 2021, Survey of Ophthalmology
  • "Microvascular damage assessed by optical coherence tomography angiography for glaucoma diagnosis: a systematic review of the most discriminative regions," 2020, Acta Ophthalmologica

Theo van Walsum has collaborated extensively with a number of frequent co-authors, such as:

  • Ruisheng Su (27 joint publications)
  • Wim H. van Zwam (26 joint publications)
  • Aad van der Lugt (22 joint publications)
  • Sandra Cornelissen (20 joint publications)
  • Matthijs van der Sluijs (17 joint publications)

Best Publications

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

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

  • 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

  • Standardized evaluation methodology for 2-D-3-D registration

    E.B. van de Kraats;G.P. Penney;D. Tomazevic;T. van Walsum

  • Nonrigid registration of dynamic medical imaging data using nD + t B-splines and a groupwise optimization approach.

    C.T. Metz;S. Klein;M. Schaap;T. van Walsum

  • Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography.

    Hortense Kirişli;M. Schaap;C. T. Metz;A. S. Dharampal

  • 2D–3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models

    N. Baka;B.L. Kaptein;M. de Bruijne;M. de Bruijne;T. van Walsum

  • Iconic techniques for feature visualization

    Frits H. Post;Frank J. Post;Theo Van Walsum;Deborah Silver

  • Fluid Flow Visualization

    Frits H. Post;Theo van Walsum

  • Tissue segmentation of head and neck CT images for treatment planning: a multiatlas approach combined with intensity modeling.

    Valerio Fortunati;René F. Verhaart;Fedde van der Lijn;Wiro J. Niessen

  • Evaluation of a multi-atlas based method for segmentation of cardiac CTA data: a large-scale, multicenter, and multivendor study

    H. A. Kirişli;M. Schaap;S. Klein;S. L. Papadopoulou

  • Coronary centerline extraction from CT coronary angiography images using a minimum cost path approach

    C. T. Metz;M. Schaap;A. C. Weustink;N. R. Mollet

  • Feature extraction and iconic visualization

    T. Van Walsum;F.H. Post;D. Silver;F.J. Post

  • Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading.

    K. Hameeteman;M. A. Zuluaga;M. A. Zuluaga;M. Freiman;L. Joskowicz

  • An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework

    Jelmer M. Wolterink;Tim Leiner;Bob D. De Vos;Jean Louis Coatrieux

  • Automatic segmentation, detection and quantification of coronary artery stenoses on CTA

    Rahil Shahzad;Hortense Kirişli;Coert Metz;Hui Tang;Hui Tang

  • Oriented Gaussian Mixture Models for Nonrigid 2D/3D Coronary Artery Registration

    N. Baka;C. T. Metz;C. J. Schultz;R.-J van Geuns

  • Vessel Specific Coronary Artery Calcium Scoring. An Automatic System

    Rahil Shahzad;Rahil Shahzad;Theo van Walsum;Michiel Schaap;Alexia Rossi

  • Fully automatic cardiac segmentation from 3D CTA data: a multi-atlas based approach

    Hortense A. Kirisli;Michiel Schaap;Stefan Klein;Lisan A. Neefjes

  • Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy

    Pierre Ambrosini;Daniel Ruijters;Wiro J. Niessen;Adriaan Moelker

  • Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression

    Michiel Schaap;Lisan Neefjes;Coert Metz;Alina Giessen

  • Reproducibility, Accuracy, and Predictors of Accuracy for the Detection of Coronary Atherosclerotic Plaque Composition by Computed Tomography: An Ex Vivo Comparison to Intravascular Ultrasound

    Alina G. van der Giessen;Michael H. Toepker;Patrick M. Donelly;Fabian Bamberg

Frequent Co-Authors

Wiro J. Niessen
Wiro J. Niessen Erasmus University Rotterdam
Stefan Klein
Stefan Klein Erasmus University Rotterdam
Lucas J. van Vliet
Lucas J. van Vliet Delft University of Technology
Josien P. W. Pluim
Josien P. W. Pluim Eindhoven University of Technology
Jacqueline C.M. Witteman
Jacqueline C.M. Witteman Erasmus University Rotterdam
Meike W. Vernooij
Meike W. Vernooij Erasmus University Rotterdam
Max A. Viergever
Max A. Viergever Utrecht University
Boudewijn P. F. Lelieveldt
Boudewijn P. F. Lelieveldt Leiden University Medical Center
Tom Vercauteren
Tom Vercauteren King's College London

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