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Boudewijn P. F. Lelieveldt

Boudewijn P. F. Lelieveldt

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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
15781
World Ranking
4475
National Ranking
62

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Boudewijn P. F. Lelieveldt is affiliated with Leiden University Medical Center in the Netherlands. Their research primarily focuses on areas within Biochemistry, Genetics, and Molecular Biology, encompassing 71 publications in this field. Within these, key subfields include Molecular Biology, Neurology, Biophysics, Radiology, Nuclear Medicine and Imaging, and Immunology.

Their main topics of work cover:

  • Single-cell and spatial transcriptomics
  • Cell Image Analysis Techniques
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Gene expression and cancer classification
  • RNA Research and Splicing
  • Gene Regulatory Network Analysis
  • Neurogenesis and neuroplasticity mechanisms

Lelieveldt has co-authored frequently with several researchers, including Thomas Höllt, Tamim Abdelaal, Jeroen Eggermont, Ahmed Mahfouz, and Marcel Reinders. Their work appears in various publication venues, with the most frequent being bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Nature Neuroscience, and Nature.

Among their recent published papers are:

  • "Eleven grand challenges in single-cell data science," published in 2020 in Genome Biology
  • "Comparative cellular analysis of motor cortex in human, marmoset and mouse," published in 2021 in Nature
  • "Comparative transcriptomics reveals human-specific cortical features," published in 2023 in Science
  • "Iron loading is a prominent feature of activated microglia in Alzheimer's disease patients," published in 2021 in Acta Neuropathologica Communications
  • "A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing," published in 2021 in Genome Research

Best Publications

  • Conserved cell types with divergent features in human versus mouse cortex.

    Rebecca D. Hodge;Trygve E. Bakken;Jeremy A. Miller;Kimberly A. Smith

  • Eleven grand challenges in single-cell data science

    David Lähnemann;David Lähnemann;Johannes Köster;Johannes Köster;Ewa Szczurek;Davis J. McCarthy;Davis J. McCarthy

  • Comparative cellular analysis of motor cortex in human, marmoset and mouse

    Trygve E. Bakken;Nikolas L. Jorstad;Qiwen Hu;Blue B. Lake

  • 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

  • An objective comparison of cell-tracking algorithms

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

  • A new cluster validity index for the fuzzy c-mean

    M. Ramze Rezaee;B. B.F. Lelieveldt;J. H.C. Reiber

  • 3-D active appearance models: segmentation of cardiac MR and ultrasound images

    S.C. Mitchell;J.G. Bosch;B.P.F. Lelieveldt;R.J. van der Geest

  • Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images

    S.C. Mitchell;B.P.F. Lelieveldt;R.J. van der Geest;H.G. Bosch

  • Automatic segmentation of echocardiographic sequences by active appearance motion models

    J.G. Bosch;S.C. Mitchell;B.P.F. Lelieveldt;F. Nijland

  • 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

  • Approximated and User Steerable tSNE for Progressive Visual Analytics

    Nicola Pezzotti;Boudewijn P. F. Lelieveldt;Laurens van der Maaten;Thomas Hollt

  • SPASM: A 3D-ASM for segmentation of sparse and arbitrarily oriented cardiac MRI data

    Hans C. van Assen;Mikhail G. Danilouchkine;Alejandro F. Frangi;Sebastián Ordás

  • Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types

    Vincent van Unen;Thomas Höllt;Thomas Höllt;Nicola Pezzotti;Na Li

  • A community-based transcriptomics classification and nomenclature of neocortical cell types

    Rafael Yuste;Michael Hawrylycz;Nadia Aalling;Argel Aguilar-Valles

  • 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

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

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

  • DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks

    Nicola Pezzotti;Thomas Hollt;Jan Van Gemert;Boudewijn P.F. Lelieveldt

  • A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering

    Unknown

  • Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data

    Walid M. Abdelmoula;Benjamin Balluff;Sonja Englert;Jouke Dijkstra

  • Vortex flow during early and late left ventricular filling in normal subjects: quantitative characterization using retrospectively-gated 4D flow cardiovascular magnetic resonance and three-dimensional vortex core analysis

    Mohammed S M Elbaz;Emmeline E Calkoen;Jos J M Westenberg;Boudewijn P F Lelieveldt;Boudewijn P F Lelieveldt

  • Automatic segmentation and plaque characterization in atherosclerotic carotid artery MR images

    I. M. Adame;R. J. van der Geest;B. A. Wasserman;M. A. Mohamed

  • Hierarchical stochastic neighbor embedding

    N. Pezzotti;T. Höllt;B. Lelieveldt;E. Eisemann

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

    Luam Mengler;Artem Khmelinskii;Michael Diedenhofen;Chrystelle Po

  • A community-based transcriptomics classification and nomenclature of neocortical cell types.

    Rafael Yuste;Michael Hawrylycz;Nadia Aalling;Detlev Arendt

Frequent Co-Authors

Marius Staring
Marius Staring Leiden University Medical Center
Milan Sonka
Milan Sonka University of Iowa
Wiro J. Niessen
Wiro J. Niessen Erasmus University Rotterdam
Anna Vilanova
Anna Vilanova Eindhoven University of Technology
Frits Koning
Frits Koning Leiden University Medical Center
Alejandro F. Frangi
Alejandro F. Frangi University of Manchester
Elmar Eisemann
Elmar Eisemann Delft University of Technology
Marcel J. T. Reinders
Marcel J. T. Reinders Delft University of Technology
Richard H. Scheuermann
Richard H. Scheuermann J. Craig Venter Institute
Arn M. J. M. van den Maagdenberg
Arn M. J. M. van den Maagdenberg Leiden University Medical Center

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