Mauricio Reyes

1974–2026 年に発表

209
論文数
18,087
被引用数
49
h 指数
132
i10 指数

被引用数

Mauricio Reyes の年別被引用数1960 年: 被引用 1 件1962 年: 被引用 1 件1969 年: 被引用 1 件1978 年: 被引用 1 件1981 年: 被引用 2 件1990 年: 被引用 6 件1995 年: 被引用 1 件1996 年: 被引用 1 件1999 年: 被引用 2 件2000 年: 被引用 1 件2002 年: 被引用 1 件2004 年: 被引用 4 件2006 年: 被引用 3 件2007 年: 被引用 8 件2008 年: 被引用 1 件2009 年: 被引用 8 件2010 年: 被引用 13 件2011 年: 被引用 28 件2012 年: 被引用 43 件2013 年: 被引用 74 件2014 年: 被引用 107 件2015 年: 被引用 181 件2016 年: 被引用 277 件2017 年: 被引用 314 件2018 年: 被引用 567 件2019 年: 被引用 931 件2020 年: 被引用 1,297 件2021 年: 被引用 1,463 件2022 年: 被引用 1,428 件2023 年: 被引用 1,454 件2024 年: 被引用 1,665 件2025 年: 被引用 1,436 件2026 年: 被引用 395 件2027 年: 被引用 2 件1961 年は被引用が無いため表示していません1963〜1968 年は被引用が無いため表示していません1970〜1977 年は被引用が無いため表示していません1979〜1980 年は被引用が無いため表示していません1982〜1989 年は被引用が無いため表示していません1991〜1994 年は被引用が無いため表示していません1997〜1998 年は被引用が無いため表示していません2001 年は被引用が無いため表示していません2003 年は被引用が無いため表示していません2005 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 2,107 件、この内訳の 15.9%アメリカ合衆国: 引用元論文 2,007 件、この内訳の 15.2%インド: 引用元論文 902 件、この内訳の 6.8%イギリス: 引用元論文 818 件、この内訳の 6.2%ドイツ: 引用元論文 790 件、この内訳の 6%スイス: 引用元論文 470 件、この内訳の 3.6%フランス: 引用元論文 454 件、この内訳の 3.4%カナダ: 引用元論文 452 件、この内訳の 3.4%オーストラリア: 引用元論文 383 件、この内訳の 2.9%イタリア: 引用元論文 312 件、この内訳の 2.4%スペイン: 引用元論文 283 件、この内訳の 2.1%韓国: 引用元論文 273 件、この内訳の 2.1%
0%15.9%その他 30%

分野

  • Computer Science34.4%
  • Medicine28%
  • Neuroscience25.3%
  • Engineering3.8%
  • Dentistry2.5%
  • Biochemistry, Genetics and Molecular Biology1.9%
  • その他4.1%

トピック

  • 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%
  • その他50.6%

共著者

全論文

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 6,521

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 ほか 327 名 - arXiv (Cornell University), CoRR 2018 被引用: 1,421

  3. Metrics reloaded: recommendations for image analysis validation

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 398

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

    著者: , , , - Physics in Medicine and Biology 2013 被引用: 1,020

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

    著者: , , , , , , , - Radiology Artificial Intelligence 2020 被引用: 467

  6. Understanding metric-related pitfalls in image analysis validation

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 175

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 348

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 149

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 531

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 85

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

    著者: , , - Frontiers in Neuroscience 2020 被引用: 107

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 被引用: 101

  13. Ridge Alterations Post-extraction in the Esthetic Zone

    著者: , , , , , - Journal of Dental Research 2013 被引用: 413

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

    著者: , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 被引用: 70

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

    著者: , , , , , , , - npj Digital Medicine, npj Digit. Medicine 2024 被引用: 63

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

    著者: , , , , , , , - Scientific Data 2022 被引用: 46

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

    著者: , , , , - Lecture notes in computer science, MLCN/DLF/iMIMIC@MICCAI 2018 被引用: 144

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

    著者: , , , , , , , , , , , , - Scientific Reports 2021 被引用: 91

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

    著者: , , , , , , , , , - Stroke 2021 被引用: 87

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

    著者: , , , , , , , , , , , , , , , , , , - Scientific Data 2023 被引用: 48

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

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

    著者: , , , , , , - Lecture notes in computer science, BrainLes@MICCAI 2018 被引用: 114

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

    著者: , , - Medical Image Analysis, Medical Image Anal. 2022 被引用: 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

    著者: , , , , , , , , , , , , , , - Lecture notes in computer science, MLCN/DLF/iMIMIC@MICCAI 2018 被引用: 87