D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 42 Citations 8,306 241 World Ranking 5231 National Ranking 77

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Internal medicine
  • Computer vision

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Segmentation, Image processing and Mass cytometry. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition. He has included themes like Magnetic resonance imaging and Atlas in his Computer vision study.

His work on Image segmentation as part of general Segmentation study is frequently connected to Iterative closest point, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His work carried out in the field of Image processing brings together such families of science as Orientation, Ground truth, Pose and Silhouette. Disease, Intestinal Disorder and Gastrointestinal tract is closely connected to Immune system in his research, which is encompassed under the umbrella topic of Mass cytometry.

His most cited work include:

  • Conserved cell types with divergent features in human versus mouse cortex (406 citations)
  • Conserved cell types with divergent features in human versus mouse cortex (406 citations)
  • 3-D active appearance models: segmentation of cardiac MR and ultrasound images (374 citations)

What are the main themes of his work throughout his whole career to date?

Boudewijn P. F. Lelieveldt mainly focuses on Artificial intelligence, Computer vision, Segmentation, Pattern recognition and Magnetic resonance imaging. His work is connected to Active appearance model, Image registration, Image processing, Image segmentation and Principal component analysis, as a part of Artificial intelligence. His Image registration research is multidisciplinary, relying on both Transformation and Nuclear medicine.

His Computer vision study combines topics in areas such as Gradient descent, Atlas, Robustness and Cardiac cycle. His work on Active shape model as part of general Segmentation study is frequently linked to Initialization, bridging the gap between disciplines. His study looks at the relationship between Radiology and topics such as Coronary arteries, which overlap with Coronary artery disease.

He most often published in these fields:

  • Artificial intelligence (55.38%)
  • Computer vision (37.37%)
  • Segmentation (23.92%)

What were the highlights of his more recent work (between 2018-2021)?

  • Mass cytometry (12.37%)
  • Artificial intelligence (55.38%)
  • Immune system (7.53%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Mass cytometry, Artificial intelligence, Immune system, Neuroscience and Image registration. His Mass cytometry research includes elements of Cell, CD8, Data mining and Cell biology. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Pattern recognition.

His studies in Neuroscience integrate themes in fields like Transcriptome, Cell type and Single-cell analysis. His Single-cell analysis study integrates concerns from other disciplines, such as Cerebral cortex, Middle temporal gyrus, Cortex and Excitatory postsynaptic potential. Boudewijn P. F. Lelieveldt combines subjects such as Decoding methods, Prostate, Nuclear medicine and Regression with his study of Image registration.

Between 2018 and 2021, his most popular works were:

  • Conserved cell types with divergent features in human versus mouse cortex (406 citations)
  • Conserved cell types with divergent features in human versus mouse cortex (406 citations)
  • Eleven grand challenges in single-cell data science (187 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Internal medicine
  • Cancer

Boudewijn P. F. Lelieveldt focuses on Mass cytometry, Immune system, Neuroscience, Cell type and Human brain. Boudewijn P. F. Lelieveldt interconnects Data mining, T cell, Antigen-presenting cell, Cell division and Cell biology in the investigation of issues within Mass cytometry. His Neuroscience study incorporates themes from Transcriptome and Single-cell analysis.

His biological study spans a wide range of topics, including Cerebral cortex, Middle temporal gyrus, Cortex and Excitatory postsynaptic potential. The study incorporates disciplines such as Neocortex, Epigenomics, Probabilistic logic, Gene and Epigenome in addition to Cell type. His work deals with themes such as BAP1 and Disease, Parkinson's disease, which intersect with Human brain.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

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.
Nature (2019)

790 Citations

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.
IEEE Transactions on Medical Imaging (2002)

532 Citations

Eleven grand challenges in single-cell data science

David Lähnemann;David Lähnemann;Johannes Köster;Johannes Köster;Ewa Szczurek;Davis J. McCarthy;Davis J. McCarthy.
Genome Biology (2020)

477 Citations

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.
IEEE Transactions on Medical Imaging (2001)

463 Citations

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.
Frontiers in Neuroinformatics (2013)

444 Citations

Automatic segmentation of echocardiographic sequences by active appearance motion models

J.G. Bosch;S.C. Mitchell;B.P.F. Lelieveldt;F. Nijland.
IEEE Transactions on Medical Imaging (2002)

387 Citations

An objective comparison of cell-tracking algorithms

Vladimír Ulman;Martin Maška;Klas E G Magnusson;Olaf Ronneberger.
Nature Methods (2017)

361 Citations

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.
Medical Image Analysis (2006)

272 Citations

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.
medical image computing and computer assisted intervention (2017)

263 Citations

Approximated and User Steerable tSNE for Progressive Visual Analytics

Nicola Pezzotti;Boudewijn P. F. Lelieveldt;Laurens van der Maaten;Thomas Hollt.
IEEE Transactions on Visualization and Computer Graphics (2017)

237 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Boudewijn P. F. Lelieveldt

Wiro J. Niessen

Wiro J. Niessen

Erasmus University Rotterdam

Publications: 62

Alejandro F. Frangi

Alejandro F. Frangi

University of Leeds

Publications: 53

Johan H. C. Reiber

Johan H. C. Reiber

Leiden University Medical Center

Publications: 36

Guoyan Zheng

Guoyan Zheng

Shanghai Jiao Tong University

Publications: 26

Shuo Li

Shuo Li

University of Western Ontario

Publications: 25

James K. Min

James K. Min

NewYork–Presbyterian Hospital

Publications: 24

Daniel S. Berman

Daniel S. Berman

Cedars-Sinai Medical Center

Publications: 23

Chun Yuan

Chun Yuan

University of Washington

Publications: 22

Matthew J. Budoff

Matthew J. Budoff

UCLA Medical Center

Publications: 22

David A. Bluemke

David A. Bluemke

University of Wisconsin–Madison

Publications: 20

Jeroen J. Bax

Jeroen J. Bax

Leiden University Medical Center

Publications: 20

Dorin Comaniciu

Dorin Comaniciu

Siemens (United States)

Publications: 19

Milan Sonka

Milan Sonka

University of Iowa

Publications: 18

Ismail Ben Ayed

Ismail Ben Ayed

École de Technologie Supérieure

Publications: 18

Stefan Klein

Stefan Klein

Erasmus University Rotterdam

Publications: 18

Ayman El-Baz

Ayman El-Baz

University of Louisville

Publications: 18

Trending Scientists

Yonggui Kao

Yonggui Kao

Harbin Institute of Technology

Eric K. Lin

Eric K. Lin

National Institute of Standards and Technology

Xiu-Jie Wang

Xiu-Jie Wang

Chinese Academy of Sciences

Martin J. Whiting

Martin J. Whiting

Macquarie University

Emmanuel J. P. Douzery

Emmanuel J. P. Douzery

University of Montpellier

Jorge H. Capdevila

Jorge H. Capdevila

Vanderbilt University

Lisa V. Alexander

Lisa V. Alexander

University of New South Wales

Miriam Melis

Miriam Melis

University of Cagliari

Massimo Turatto

Massimo Turatto

University of Trento

K. Ranga Rama Krishnan

K. Ranga Rama Krishnan

Rush University Medical Center

Heinz Jungbluth

Heinz Jungbluth

King's College London

Gary Duckwiler

Gary Duckwiler

University of California, Los Angeles

Marc Foretz

Marc Foretz

Université Paris Cité

Stefano Fiorucci

Stefano Fiorucci

University of Perugia

Derek P. Jewell

Derek P. Jewell

University of Oxford

Ronald L. Gilliland

Ronald L. Gilliland

Pennsylvania State University

Something went wrong. Please try again later.