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Computer Science

D-Index
51
Citations
20663
World Ranking
5204
National Ranking
108

Overview

Mauricio Reyes is affiliated with the University of Bern in Switzerland and has an extensive research portfolio primarily focused on medical imaging and its intersection with artificial intelligence. Their work encompasses a variety of fields and topics related to computer science and medicine, with a strong emphasis on radiology and image analysis validation.

Reyes has contributed significantly to several main fields of study, including:

  • Medicine
  • Computer Science

Their research also spans several specialized subfields, such as:

  • Radiology, Nuclear Medicine and Imaging
  • Neurology
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering

Key research topics covered in their publications include:

  • Radiomics and Machine Learning in Medical Imaging
  • Brain Tumor Detection and Classification
  • Medical Imaging and Analysis
  • Medical Image Segmentation Techniques
  • Acute Ischemic Stroke Management
  • Glioma Diagnosis and Treatment
  • COVID-19 diagnosis using AI

Among their recent notable papers are:

  • "On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities," 2020, Radiology Artificial Intelligence
  • "Metrics reloaded: recommendations for image analysis validation," 2024, Nature Methods
  • "Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update," 2024, Radiology Artificial Intelligence
  • "Understanding metric-related pitfalls in image analysis validation," 2024, Nature Methods
  • "Dual-stream pyramid registration network," 2022, Medical Image Analysis

Reyes frequently collaborates with a number of researchers, including Suhang You, Roland Wiest, Ekin Ermiş, Robert Poel, and Bjoern Menze.

Their publications appear predominantly in these venues:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Medical Image Analysis
  • Scientific Data
  • IEEE Transactions on Medical Imaging

Their contributions to the literature also include book chapters published by Springer Science+Business Media, covering topics such as machine intelligence interpretability and medical image computing in volumes published between 2021 and 2023.

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

    Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer

  • The Multimodal Brain TumorImage Segmentation Benchmark (BRATS)

    Bjoern Menze;Mauricio Reyes;Koen Van Leemput;Nicole Porz

  • 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

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

    Stefan Bauer;Roland Wiest;Lutz-Peter Nolte;Mauricio Reyes

  • 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

  • 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

  • On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

    Mauricio Reyes;Raphael Meier;Sérgio Pereira;Carlos A Silva

  • Federated learning enables big data for rare cancer boundary detection

    Unknown

  • Comparison of Actual Surgical Outcomes and 3-Dimensional Surgical Simulations

    Scott Tucker;Lucia Helena Soares Cevidanes;Martin Styner;Hyungmin Kim

  • Three-dimensional surgical simulation

    Lucia H.C. Cevidanes;Scott Tucker;Martin Styner;Hyungmin Kim

  • Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment

    Sérgio Pereira;Raphael Meier;Victor Alves;Mauricio Reyes

  • ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI.

    Stefan Winzeck;Arsany Hakim;Richard McKinley;José A. A. D. S. R. Pinto

  • Multi-modal glioblastoma segmentation: man versus machine.

    Nicole Porz;Stefan Bauer;Alessia Pica;Philippe Schucht

  • Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network

    Dwarikanath Mahapatra;Behzad Bozorgtabar;Jean-Philippe Thiran;Mauricio Reyes

  • Dual-stream pyramid registration network

    Unknown

  • Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry

    Raphael Meier;Urspeter Knecht;Tina Loosli;Stefan Bauer

  • Multiscale Modeling for Image Analysis of Brain Tumor Studies

    S. Bauer;C. May;D. Dionysiou;G. Stamatakos

  • Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation

    Alain Jungo;Mauricio Reyes

  • Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation.

    Sérgio Pereira;Raphael Meier;Richard McKinley;Roland Wiest

  • Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features

    Emmanuel Rios Velazquez;Raphael Meier;William D. Dunn;Brian Alexander

  • Model-based respiratory motion compensation for emission tomography image reconstruction.

    M Reyes;G Malandain;P M Koulibaly;M A González-Ballester

  • A Hybrid Model for Multimodal Brain Tumor Segmentation

    Raphael Meier;Stefan Bauer;Johannes Slotboom;Roland Wiest

  • Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets

    Nina Kozic;Stefan Weber;Philippe Büchler;Christian Lutz

  • On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation

    Alain Jungo;Raphael Meier;Ekin Ermis;Marcela Blatti-Moreno

Frequent Co-Authors

Lutz-Peter Nolte
Lutz-Peter Nolte University of Bern
Carlos A. Silva
Carlos A. Silva University of Florida
Bjoern H. Menze
Bjoern H. Menze University of Zurich
Philippe C. Cattin
Philippe C. Cattin University of Basel
Koen Van Leemput
Koen Van Leemput Harvard University
Tom Vercauteren
Tom Vercauteren King's College London
Ben Glocker
Ben Glocker Imperial College London
Ronald M. Summers
Ronald M. Summers National Institutes of Health
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne

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