Mauricio Reyes

Active 1974–2026

209
Papers
18,087
Citations
49
h-index
132
i10-index

Citations

Citations per year for Mauricio Reyes1960: 1 citations1962: 1 citations1969: 1 citations1978: 1 citations1981: 2 citations1990: 6 citations1995: 1 citations1996: 1 citations1999: 2 citations2000: 1 citations2002: 1 citations2004: 4 citations2006: 3 citations2007: 8 citations2008: 1 citations2009: 8 citations2010: 13 citations2011: 28 citations2012: 43 citations2013: 74 citations2014: 107 citations2015: 181 citations2016: 277 citations2017: 314 citations2018: 567 citations2019: 931 citations2020: 1,297 citations2021: 1,463 citations2022: 1,428 citations2023: 1,454 citations2024: 1,665 citations2025: 1,436 citations2026: 395 citations2027: 2 citations1961: no citations, so this year is not shown1963–1968: no citations, so these years are not shown1970–1977: no citations, so these years are not shown1979–1980: no citations, so these years are not shown1982–1989: no citations, so these years are not shown1991–1994: no citations, so these years are not shown1997–1998: no citations, so these years are not shown2001: no citations, so this year is not shown2003: no citations, so this year is not shown2005: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,107 citing papers, 15.9% of this breakdownUnited States: 2,007 citing papers, 15.2% of this breakdownIndia: 902 citing papers, 6.8% of this breakdownUnited Kingdom: 818 citing papers, 6.2% of this breakdownGermany: 790 citing papers, 6% of this breakdownSwitzerland: 470 citing papers, 3.6% of this breakdownFrance: 454 citing papers, 3.4% of this breakdownCanada: 452 citing papers, 3.4% of this breakdownAustralia: 383 citing papers, 2.9% of this breakdownItaly: 312 citing papers, 2.4% of this breakdownSpain: 283 citing papers, 2.1% of this breakdownSouth Korea: 273 citing papers, 2.1% of this breakdown
0%15.9%Other 30%

Fields

  • Computer Science34.4%
  • Medicine28%
  • Neuroscience25.3%
  • Engineering3.8%
  • Dentistry2.5%
  • Biochemistry, Genetics and Molecular Biology1.9%
  • Other4.1%

Topics

  • Brain Tumor Detection and Classification13.5%
  • Advanced Neural Network Applications11.6%
  • Medical Image Segmentation Techniques10%
  • Radiomics and Machine Learning in Medical Imaging6.9%
  • AI in cancer detection4.8%
  • COVID-19 diagnosis using AI2.6%
  • Other50.6%

Coauthors

All papers

Open in search
  1. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2014 cited by 6,521

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Kwon, Dongjin, Acharya, Gagan, Agarwal, Manu, Alam, Mahbubul, Albiol, Alberto, Albiol, Antonio, Albiol, Francisco J, Alex, Varghese, Allinson, Nigel, Amorim, Pedro HA, Amrutkar, Abhijit, Anand, Ganesh, Andermatt, Simon, Arbel, Tal, Arbelaez, Pablo, Avery, Aaron, Azmat, Muneeza, Pranjal, B, Bai, W, Banerjee, Subhashis, Barth, Bill, Batchelder, Thomas, Batmanghelich, Kayhan, Battistella, Enzo, Beers, Andrew, Belyaev, Mikhail, Bendszus, Martin, Benson, Eze, Bernal, Jose, Bharath, Halandur Nagaraja, Biros, George, Bisdas, Sotirios, Brown, James, Cabezas, Mariano, Cao, Shilei, Cardoso, Jorge M, Carver, Eric N, Casamitjana, Adrià, Castillo, Laura Silvana, Catà, Marcel, Cattin, Philippe, Cerigues, Albert, Chagas, Vinicius S, Chandra, Siddhartha, Chang, Yi-Ju, Chang, Shiyu, Chang, Ken, Chazalon, Joseph, Chen, Shengcong, Chen, Wei, Chen, Jefferson W, Chen, Zhaolin, Cheng, Kun, Choudhury, Ahana Roy, Chylla, Roger, Clérigues, Albert, Colleman, Steven, Colmeiro, Ramiro German Rodriguez, Combalia, Marc, Costa, Anthony, Cui, Xiaomeng, Dai, Zhenzhen, Dai, Lutao, Daza, Laura Alexandra, Deutsch, Eric, Ding, Changxing, Dong, Chao, Dong, Shidu, Dudzik, Wojciech, Eaton-Rosen, Zach and 327 more - arXiv (Cornell University), CoRR 2018 cited by 1,421

  3. Metrics reloaded: recommendations for image analysis validation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Luciana Ferrer, Adrián Galdrán, Bram van Ginneken, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Annette Kopp‐Schneider, Anna Kreshuk, Tahsin Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier‐Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Sáez-Rodríguez, Clara I. Sá‎nchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger - Nature Methods 2024 cited by 398

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

    Authors: , , , - Physics in Medicine and Biology 2013 cited by 1,020

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

    Authors: , , , , , , , - Radiology Artificial Intelligence 2020 cited by 467

  6. Understanding metric-related pitfalls in image analysis validation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp‐Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier‐Hein, Anne L. Martel, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Sáez-Rodríguez, Clara I. Sá‎nchez, Shravya Shetty, Ronald M. Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Ziv Yaniv, Paul F. Jäger, Lena Maier‐Hein - Nature Methods 2024 cited by 175

  7. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Benjamin Fine, Adam E. Flanders, Judy Wawira Gichoya, Maryellen L. Giger, Safwan S. Halabi, Sven Haller, William Hsu, Krishna Juluru, Jayashree Kalpathy–Cramer, Apostolos H. Karantanas, Felipe Kitamura, Burak Koçak, Dow‐Mu Koh, Elmar Kotter, Elizabeth A. Krupinski, Curtis P. Langlotz, Cecilia S. Lee, Mario Maas, Anant Madabhushi, Lena Maier-Hein, Kostas Marias, Luis Martí‐Bonmatí, Jaishree Naidoo, Emanuele Neri, Robert Ochs, Nikolaos Papanikolaou, Thomas V. Papathomas, Katja Pinker, Daniel Santos, Fred Prior, Alexandros Protonotarios, Mauricio Reyes, Veronica Rotemberg, Jeffrey D. Rudie, Emmanuel Salinas-Miranda, Francesco Sardanelli, Mark E. Schweitzer, Luca Maria Sconfienza, Ronnie Sebro, Prateek Sharma, An Tang, Antonios Tzortzakakis, Jeroen van der Laak, Peter M. A. van Ooijen, Vasantha Kumar Venugopal, Jacob J. Visser, Bradford J. Wood, Carol C. Wu, Greg Zaharchuk, Marc Zins - Radiology Artificial Intelligence 2024 cited by 348

  8. A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Fatemeh Geranmayeh, Alexandre Gramfort, Chris M. Gregory, Colleen A. Hanlon, Brenton Hordacre, Steven A. Kautz, Mohamed Salah Khlif, Hosung Kim, Jan S. Kirschke, Jingchun Liu, Martín Lotze, Bradley J. MacIntosh, María Mataró, Feroze B. Mohamed, Jan Egil Nordvik, Gilsoon Park, Amy Pienta, Fabrizio Piras, Shane M. Redman, Kate Revill, Mauricio Reyes, Andrew D. Robertson, Na Jin Seo, Surjo R. Soekadar, Gianfranco Spalletta, Alison Sweet, Maria Teleńczuk, Gregory Thielman, Lars T. Westlye, Carolee J. Winstein, George F. Wittenberg, Kristin A. Wong, Chunshui Yu - Scientific Data 2022 cited by 149

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Richard McKinley, John Muschelli, Chris Pal, Linmin Pei, Janaki Raman Rangarajan, Syed M. S. Reza, David Robben, Daniel Rueckert, Eero Salli, Paul Suetens, Ching‐Wei Wang, Matthias Wilms, Jan S. Kirschke, Ulrike M. Krämer, Thomas F. Münte, Peter Schramm, Roland Wiest, Heinz Handels, Mauricio Reyes - Medical Image Analysis, Medical Image Anal. 2016 cited by 531

  10. Metrics reloaded: Pitfalls and recommendations for image analysis validation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Luciana Ferrer, Adrián Galdrán, Bram van Ginneken, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Florian Kofler, Annette Kopp‐Schneider, Anna Kreshuk, Tahsin Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier‐Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Sáez-Rodríguez, Clara I. Sá‎nchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel Aziz Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger - arXiv (Cornell University), CoRR 2022 cited by 85

  11. Analyzing the Quality and Challenges of Uncertainty Estimations for Brain Tumor Segmentation

    Authors: , , - Frontiers in Neuroscience 2020 cited by 107

  12. Common Limitations of Image Processing Metrics: A Picture Story

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Doreen Heckmann-Nötzel, Hirsch, Peter, Hoffman, Michael M., Huisman, Merel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kavur, A. Emre, Kenngott, Hannes, Jens Kleesiek, Kleppe, Andreas, Kohler, Sven, Kofler, Florian, Annette Kopp‐Schneider, Kooi, Thijs, Michal Kozubek, Kreshuk, Anna, Tahsin Kurç, Bennett A. Landman, Geert Litjens, Madani, Amin, Klaus Maier‐Hein, Martel, Anne L., Mattson, Peter, Meijering, Erik, Bjoern Menze, Moher, David, Moons, Karel G. M., Henning Müller, Nichyporuk, Brennan, Nickel, Felix, Noyan, M. Alican, Jens Petersen, Polat, Gorkem, Rafelski, Susanne M., Rajpoot, Nasir, Mauricio Reyes, Nicola Rieke, Riegler, Michael, Rivaz, Hassan, Saez-Rodriguez, Julio, Sánchez, Clara I., Schroeter, Julien, Saha, Anindo, Selver, M. Alper, Sharan, Lalith, Shetty, Shravya, van Smeden, Maarten, Bram Stieltjes, Ronald M. Summers, Taha, Abdel A., Tiulpin, Aleksei, Sotirios A. Tsaftaris, Van Calster, Ben, Varoquaux, Gaël, Wiesenfarth, Manuel, Yaniv, Ziv R., Paul F. Jäger, Lena Maier‐Hein - arXiv (Cornell University), CoRR 2021 cited by 101

  13. Ridge Alterations Post-extraction in the Esthetic Zone

    Authors: , , , , , - Journal of Dental Research 2013 cited by 413

  14. Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation

    Authors: , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 cited by 70

  15. Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging

    Authors: , , , , , , , - npj Digital Medicine, npj Digit. Medicine 2024 cited by 63

  16. The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation

    Authors: , , , , , , , - Scientific Data 2022 cited by 46

  17. Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment

    Authors: , , , , - Lecture notes in computer science, MLCN/DLF/iMIMIC@MICCAI 2018 cited by 144

  18. Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks

    Authors: , , , , , , , , , , , , - Scientific Reports 2021 cited by 91

  19. Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge

    Authors: , , , , , , , , , - Stroke 2021 cited by 87

  20. A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data

    Authors: , , , , , , , , , , , , , , , , , , - Scientific Data 2023 cited by 48

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Andrew Beers, Pablo Arbelaezs, Oskar Maier, Ken Chang, James M. Brown, Jayashree Kalpathy–Cramer, Greg Zaharchuk, Roland Wiest, Mauricio Reyes - Frontiers in Neurology 2018 cited by 169

  22. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers

    Authors: , , , , , , - Lecture notes in computer science, BrainLes@MICCAI 2018 cited by 114

  23. Interpretability-Guided Inductive Bias For Deep Learning Based Medical Image

    Authors: , , - Medical Image Analysis, Medical Image Anal. 2022 cited by 42

  24. Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings

    Authors: , , , , , , , , , , , , , , - Lecture notes in computer science, MLCN/DLF/iMIMIC@MICCAI 2018 cited by 87