H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 10,397 139 World Ranking 7183 National Ranking 145

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Mauricio Reyes spends much of his time researching Artificial intelligence, Segmentation, Brain tumor, Machine learning and Magnetic resonance imaging. His Artificial intelligence research includes themes of Volume, Computer vision and Pattern recognition. Mauricio Reyes has included themes like Image registration, Voxel and Fully automatic in his Segmentation study.

His Brain tumor research is multidisciplinary, relying on both Brain tumor segmentation and Medical imaging. His Magnetic resonance imaging study combines topics from a wide range of disciplines, such as Text mining and Multispectral image. While the research belongs to areas of Image segmentation, Mauricio Reyes spends his time largely on the problem of Data mining, intersecting his research to questions surrounding Discriminative model.

His most cited work include:

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) (1985 citations)
  • The Multimodal Brain TumorImage Segmentation Benchmark (BRATS) (1126 citations)
  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (493 citations)

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

Mauricio Reyes mainly investigates Artificial intelligence, Segmentation, Pattern recognition, Computer vision and Deep learning. His research in Artificial intelligence intersects with topics in Brain tumor, Machine learning and Magnetic resonance imaging. His studies link Medical imaging with Brain tumor.

The various areas that Mauricio Reyes examines in his Segmentation study include Random forest, Robustness and Conditional random field. The Pattern recognition study combines topics in areas such as Mr imaging, Artificial neural network, Cluster analysis, Matching and Multiple sclerosis. His research in the fields of Image registration, Scale-space segmentation and Image overlaps with other disciplines such as Affine transformation.

He most often published in these fields:

  • Artificial intelligence (53.47%)
  • Segmentation (30.20%)
  • Pattern recognition (23.67%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (53.47%)
  • Deep learning (13.88%)
  • Segmentation (30.20%)

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

His primary scientific interests are in Artificial intelligence, Deep learning, Segmentation, Pattern recognition and Magnetic resonance imaging. His Artificial intelligence research includes elements of Brain tumor and Machine learning. As a member of one scientific family, Mauricio Reyes mostly works in the field of Deep learning, focusing on Stroke and, on occasion, Blood flow and Perfusion.

His Segmentation study combines topics in areas such as Ground truth, Lesion and Robustness. His studies deal with areas such as Matching, Multiple sclerosis, Mr imaging and Deep neural networks as well as Pattern recognition. His study in Magnetic resonance imaging is interdisciplinary in nature, drawing from both Nuclear medicine, Neuroimaging and Overall survival.

Between 2017 and 2021, his most popular works were:

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge (493 citations)
  • Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network (66 citations)
  • ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI. (63 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Mauricio Reyes focuses on Artificial intelligence, Segmentation, Deep learning, Machine learning and Magnetic resonance imaging. His Artificial intelligence research is multidisciplinary, incorporating elements of Brain tumor, Computer vision and Pattern recognition. The Lesion segmentation research he does as part of his general Pattern recognition study is frequently linked to other disciplines of science, such as Scalability, therefore creating a link between diverse domains of science.

His work on Image segmentation as part of general Segmentation research is frequently linked to Patient specific, bridging the gap between disciplines. His Machine learning research integrates issues from Sample and Generative grammar. His research integrates issues of Peripheral, Lesion and Blood flow in his study of Magnetic resonance imaging.

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

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer.
IEEE Transactions on Medical Imaging (2015)

1848 Citations

The Multimodal Brain TumorImage Segmentation Benchmark (BRATS)

Bjoern Menze;Mauricio Reyes;Koen Van Leemput;Nicole Porz.
(2015)

1836 Citations

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer.
Unknown Journal (2018)

685 Citations

A survey of MRI-based medical image analysis for brain tumor studies

Stefan Bauer;Roland Wiest;Lutz-Peter Nolte;Mauricio Reyes.
Physics in Medicine and Biology (2013)

671 Citations

Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization

Stefan Bauer;Lutz-P. Nolte;Mauricio Reyes.
medical image computing and computer assisted intervention (2011)

362 Citations

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

Oskar Maier;Bjoern H. Menze;Janina von der Gablentz;Levin Häni.
Medical Image Analysis (2017)

286 Citations

Ridge Alterations Post-extraction in the Esthetic Zone A 3D Analysis with CBCT

Vivianne Chappuis;Odette Engel;Mauricio Reyes;K Shahim.
Journal of Dental Research (2013)

282 Citations

Comparison of Actual Surgical Outcomes and 3-Dimensional Surgical Simulations

Scott Tucker;Lucia Helena Soares Cevidanes;Martin Styner;Hyungmin Kim.
Journal of Oral and Maxillofacial Surgery (2010)

174 Citations

Three-dimensional surgical simulation

Lucia H.C. Cevidanes;Scott Tucker;Martin Styner;Hyungmin Kim.
American Journal of Orthodontics and Dentofacial Orthopedics (2010)

171 Citations

Multi-modal glioblastoma segmentation: man versus machine

Nicole Porz;Stefan Bauer;Alessia Pica;Philippe Schucht.
PLOS ONE (2014)

127 Citations

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Best Scientists Citing Mauricio Reyes

Bjoern H. Menze

Bjoern H. Menze

University of Zurich

Publications: 53

Sebastien Ourselin

Sebastien Ourselin

King's College London

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Klaus H. Maier-Hein

Klaus H. Maier-Hein

German Cancer Research Center

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Tom Vercauteren

Tom Vercauteren

King's College London

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Dinggang Shen

Dinggang Shen

ShanghaiTech University

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Christos Davatzikos

Christos Davatzikos

University of Pennsylvania

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Daniel Rueckert

Daniel Rueckert

Technical University of Munich

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Nassir Navab

Nassir Navab

Technical University of Munich

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Xavier Pennec

Xavier Pennec

French Institute for Research in Computer Science and Automation - INRIA

Publications: 18

George Biros

George Biros

The University of Texas at Austin

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Ben Glocker

Ben Glocker

Imperial College London

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Pheng-Ann Heng

Pheng-Ann Heng

Chinese University of Hong Kong

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Ronald M. Summers

Ronald M. Summers

National Institutes of Health

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Dwarikanath Mahapatra

Dwarikanath Mahapatra

Inception Institute of Artificial Intelligence

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Venkatesan Rajinikanth

Venkatesan Rajinikanth

Anna University, Chennai

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Nicholas Ayache

Nicholas Ayache

French Institute for Research in Computer Science and Automation - INRIA

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