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Ronald M. Summers

Active 1986–2026

532
Papers
43,273
Citations
89
h-index
316
i10-index

Citations

Citations per year for Ronald M. Summers1963: 4 citations1971: 1 citations1976: 1 citations1981: 4 citations1988: 1 citations1989: 6 citations1990: 2 citations1991: 4 citations1992: 1 citations1993: 1 citations1994: 2 citations1995: 5 citations1996: 1 citations1997: 4 citations1998: 10 citations1999: 8 citations2000: 13 citations2001: 30 citations2002: 41 citations2003: 43 citations2004: 84 citations2005: 70 citations2006: 96 citations2007: 134 citations2008: 137 citations2009: 117 citations2010: 158 citations2011: 128 citations2012: 174 citations2013: 184 citations2014: 200 citations2015: 262 citations2016: 485 citations2017: 850 citations2018: 1,231 citations2019: 2,194 citations2020: 2,728 citations2021: 3,290 citations2022: 2,991 citations2023: 2,929 citations2024: 3,544 citations2025: 2,672 citations2026: 589 citations2027: 3 citations1964–1970: no citations, so these years are not shown1972–1975: no citations, so these years are not shown1977–1980: no citations, so these years are not shown1982–1987: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 5,591 citing papers, 19.4% of this breakdownChina: 5,110 citing papers, 17.8% of this breakdownUnited Kingdom: 1,608 citing papers, 5.6% of this breakdownIndia: 1,528 citing papers, 5.3% of this breakdownGermany: 1,314 citing papers, 4.6% of this breakdownCanada: 945 citing papers, 3.3% of this breakdownAustralia: 828 citing papers, 2.9% of this breakdownSouth Korea: 761 citing papers, 2.6% of this breakdownItaly: 671 citing papers, 2.3% of this breakdownFrance: 662 citing papers, 2.3% of this breakdownJapan: 642 citing papers, 2.2% of this breakdownNetherlands: 608 citing papers, 2.1% of this breakdown
0%19.4%Other 29.6%

Institutions

Fields

  • Medicine44%
  • Computer Science36.5%
  • Engineering7.9%
  • Neuroscience2.9%
  • Biochemistry, Genetics and Molecular Biology2.4%
  • Physics and Astronomy1.1%
  • Other5.2%

Topics

  • Radiomics and Machine Learning in Medical Imaging8.7%
  • AI in cancer detection8.2%
  • COVID-19 diagnosis using AI7%
  • Advanced Neural Network Applications4.1%
  • Medical Image Segmentation Techniques3.7%
  • Artificial Intelligence in Healthcare and Education3%
  • Other65.3%

Coauthors

All papers

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  1. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

    Authors: Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 3,333

  2. The Future of Digital Health with Federated Learning

    Authors: Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso - npj Digital Medicine, npj Digit. Medicine 2020 cited by 2,532

  3. The Medical Segmentation Decathlon

    Authors: Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard Kinh Gian, Marc J. Gollub, Stephan Heckers, Henkjan Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer S. Golia Pernicka, Kawal Rhode, Catalina Tobon‐Gomez, Eugene Vorontsov, James Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Ildoo Kim, Klaus Maier‐Hein, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, R. Rezaiifar, Oliver Rippel, Ignacio Sarasúa, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier‐Hein, M. Jorge Cardoso - Nature Communications 2022 cited by 1,202

  4. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

    Authors: Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2016 cited by 5,798

  5. A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

    Authors: S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers - IEEE, Proc. IEEE 2021 cited by 996

  6. A large annotated medical image dataset for the development and evaluation of segmentation algorithms

    Authors: Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso - arXiv (Cornell University), CoRR 2019 cited by 748

  7. Preparing Medical Imaging Data for Machine Learning

    Authors: Martin J. Willemink, Wojciech A. Koszek, Cailin Hardell, Jie Wu, Dominik Fleischmann, Hugh Harvey, Les Folio, Ronald M. Summers, Daniel L. Rubin, Matthew P. Lungren - Radiology 2020 cited by 976

  8. Metrics reloaded: recommendations for image analysis validation

    Authors: Lena Maier‐Hein, Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, A. Emre Kavur, Carole H. Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, 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

  9. Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

    Authors: Veit Sandfort, Ke Yan, Perry J. Pickhardt, Ronald M. Summers - Scientific Reports 2019 cited by 683

  10. DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning

    Authors: Ke Yan, Xiaosong Wang, Le Lü, Ronald M. Summers - Journal of Medical Imaging 2018 cited by 565

  11. Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

    Authors: Hayit Greenspan, Bram van Ginneken, Ronald M. Summers - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2016 cited by 1,719

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

    Authors: Mauricio Reyes, Raphael Meier, Sérgio Pereira, Carlos A. Silva, Fried-Michael Dahlweid, Hendrik von Tengg‐Kobligk, Ronald M. Summers, Roland Wiest - Radiology Artificial Intelligence 2020 cited by 467

  13. Understanding metric-related pitfalls in image analysis validation

    Authors: Annika Reinke, Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Keyvan Farahani, Luciana Ferrer, Adrián Galdrán, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, 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

  14. Deep learning in medical imaging and radiation therapy

    Authors: Berkman Sahiner, Aria Pezeshk, Lubomir M. Hadjiiski, Xiaosong Wang, Karen Drukker, Kenny H. Cha, Ronald M. Summers, Maryellen L. Giger - Medical Physics 2018 cited by 745

  15. DeepPap: Deep Convolutional Networks for Cervical Cell Classification

    Authors: Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2017 cited by 413

  16. Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports

    Authors: Pritam Mukherjee, Benjamin Hou, Ricardo Bigolin Lanfredi, Ronald M. Summers - Radiology 2023 cited by 108

  17. Machine learning and radiology

    Authors: Shijun Wang, Ronald M. Summers - Medical Image Analysis, Medical Image Anal. 2012 cited by 687

  18. ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

    Authors: Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers - Advances in computer vision and pattern recognition, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019 cited by 375

  19. Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

    Authors: Stephanie A. Harmon, Thomas Sanford, Sheng Xu, Evrim Türkbey, Holger R. Roth, Ziyue Xu, Dong Yang, Andriy Myronenko, Victoria Anderson, Amel Amalou, Maxime Blain, Michael Kassin, Dilara J. Long, Nicole Varble, Stephanie M. Walker, Ulaş Bağcı, Anna Maria Ierardi, Elvira Stellato, Guido Giovanni Plensich, Giuseppe Franceschelli, Cristiano Girlando, Giovanni Irmici, Dominic LaBella, Dima A. Hammoud, Ashkan A. Malayeri, Elizabeth C. Jones, Ronald M. Summers, Peter L. Choyke, Daguang Xu, Mona G. Flores, Kaku Tamura, Hirofumi Obinata, Hitoshi Mori, Francesca Patella, Maurizio Cariati, Gianpaolo Carrafiello, Peng An, Bradford J. Wood, Barış Türkbey - Nature Communications 2020 cited by 600

  20. Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation

    Authors: Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 cited by 356

  21. Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 Adults

    Authors: Samuel Jang, Peter M. Graffy, Timothy J. Ziemlewicz, Scott Lee, Ronald M. Summers, Perry J. Pickhardt - Radiology 2019 cited by 332

  22. Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering

    Authors: Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu - SIGKDD Conference on Knowledge Discovery and Data Mining 2023 cited by 45

  23. Automated abnormality classification of chest radiographs using deep convolutional neural networks

    Authors: Yuxing Tang, Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M. Summers - npj Digital Medicine, npj Digit. Medicine 2020 cited by 253

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

    Authors: Lena Maier‐Hein, Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Ali Emre Kavur, Carole H. Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, 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