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David B. Larson

Active 1978–2025

85
Papers
24,527
Citations
62
h-index
76
i10-index

Citations

Citations per year for David B. Larson1980: 1 citations1982: 1 citations1983: 2 citations1984: 1 citations1985: 1 citations1986: 3 citations1988: 14 citations1989: 14 citations1990: 13 citations1991: 15 citations1992: 28 citations1993: 12 citations1994: 22 citations1995: 14 citations1996: 13 citations1997: 29 citations1998: 41 citations1999: 47 citations2000: 59 citations2001: 82 citations2002: 113 citations2003: 146 citations2004: 138 citations2005: 170 citations2006: 132 citations2007: 110 citations2008: 108 citations2009: 100 citations2010: 83 citations2011: 115 citations2012: 98 citations2013: 86 citations2014: 63 citations2015: 64 citations2016: 78 citations2017: 72 citations2018: 91 citations2019: 279 citations2020: 409 citations2021: 410 citations2022: 319 citations2023: 280 citations2024: 392 citations2025: 263 citations2026: 55 citations1981: no citations, so this year is not shown1987: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,960 citing papers, 38.9% of this breakdownChina: 358 citing papers, 7.1% of this breakdownUnited Kingdom: 349 citing papers, 6.9% of this breakdownCanada: 202 citing papers, 4% of this breakdownGermany: 198 citing papers, 3.9% of this breakdownAustralia: 136 citing papers, 2.7% of this breakdownNetherlands: 126 citing papers, 2.5% of this breakdownItaly: 123 citing papers, 2.5% of this breakdownIndia: 113 citing papers, 2.3% of this breakdownSouth Korea: 97 citing papers, 1.9% of this breakdownFrance: 79 citing papers, 1.6% of this breakdownBrazil: 71 citing papers, 1.4% of this breakdown
0%38.9%Other 24.3%

Institutions

Fields

  • Medicine44.6%
  • Social Sciences22.7%
  • Computer Science10.3%
  • Psychology7.3%
  • Arts and Humanities2.7%
  • Health Professions2.7%
  • Other9.7%

Topics

  • Religion, Spirituality, and Psychology7.2%
  • Artificial Intelligence in Healthcare and Education5.1%
  • Radiomics and Machine Learning in Medical Imaging4.4%
  • COVID-19 diagnosis using AI3.5%
  • AI in cancer detection2.5%
  • Radiology practices and education2.3%
  • Other75%

Coauthors

All papers

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  1. CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

    Authors: Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng - 2159-5399, AAAI 2019 cited by 2,564

  2. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

    Authors: Nicholas Bien, Pranav Rajpurkar, Robyn L. Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Safwan S. Halabi, Evan J. Zucker, Gary S. Fanton, Derek F. Amanatullah, Christopher F. Beaulieu, Geoffrey M. Riley, Russell J. Stewart, Francis G. Blankenberg, David B. Larson, Richard H. Jones, Curtis P. Langlotz, Andrew Y. Ng, Matthew P. Lungren - PLoS Medicine 2018 cited by 728

  3. Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework

    Authors: David B. Larson, David Magnus, Matthew P. Lungren, Nigam H. Shah, Curtis P. Langlotz - Radiology 2020 cited by 186

  4. Regulatory Frameworks for Development and Evaluation of Artificial Intelligence–Based Diagnostic Imaging Algorithms: Summary and Recommendations

    Authors: David B. Larson, Hugh Harvey, Daniel L. Rubin, Neville Irani, Justin R. Tse, Curtis P. Langlotz - Journal of the American College of Radiology 2020 cited by 184

  5. Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

    Authors: David B. Larson, Matthew C. Chen, Matthew P. Lungren, Safwan S. Halabi, Nicholas Stence, Curtis P. Langlotz - Radiology 2017 cited by 458

  6. Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

    Authors: Dania Daye, Walter F. Wiggins, Matthew P. Lungren, Tarik K. Alkasab, Nina Kottler, Bibb Allen, C. Roth, Bernardo C. Bizzo, Kimberly Durniak, James A. Brink, David B. Larson, Keith J. Dreyer, Curtis P. Langlotz - Radiology 2022 cited by 127

  7. Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices

    Authors: Akshay Chaudhari, Christopher M. Sandino, Elizabeth K. Cole, David B. Larson, Garry E. Gold, Shreyas Vasanawala, Matthew P. Lungren, Brian A. Hargreaves, Curtis P. Langlotz - Journal of Magnetic Resonance Imaging 2020 cited by 77

  8. Deep Learning to Classify Radiology Free-Text Reports

    Authors: Matthew C. Chen, Robyn L. Ball, Lingyao Yang, N Moradzadeh, Brian E. Chapman, David B. Larson, Curtis P. Langlotz, Timothy J. Amrhein, Matthew P. Lungren - Radiology 2017 cited by 223

  9. Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial

    Authors: David Eng, Nishith Khandwala, Jin Long, Nancy R. Fefferman, Shailee Lala, Naomi Strubel, Sarah Sarvis Milla, Ross W. Filice, Susan E. Sharp, Alexander J. Towbin, Michael L. Francavilla, Summer L. Kaplan, Kirsten Ecklund, Sanjay P. Prabhu, Brian Dillon, Brian Everist, Christopher G. Anton, Mark Bittman, Rebecca Dennis, David B. Larson, Jayne Seekins, Cicero T. Silva, Arash R. Zandieh, Curtis P. Langlotz, Matthew P. Lungren, Safwan S. Halabi - Radiology 2021 cited by 82

  10. Improving Consistency in Radiology Reporting through the Use of Department-wide Standardized Structured Reporting

    Authors: David B. Larson, Alexander J. Towbin, Rebecca M. Pryor, Lane F. Donnelly - Radiology 2013 cited by 222

  11. Perceptions of Data Set Experts on Important Characteristics of Health Data Sets Ready for Machine Learning

    Authors: Madelena Y. Ng, Alaa Youssef, Adam S. Miner, Daniela Sarellano, Jin Long, David B. Larson, Tina Hernandez‐Boussard, Curtis P. Langlotz - JAMA Network Open 2023 cited by 26

  12. Organizational Factors in Clinical Data Sharing for Artificial Intelligence in Health Care

    Authors: Alaa Youssef, Madelena Y. Ng, Jin Long, Tina Hernandez‐Boussard, Nigam H. Shah, Adam S. Miner, David B. Larson, Curtis P. Langlotz - JAMA Network Open 2023 cited by 22

  13. Is gratitude a moral affect?

    Authors: Michael E. McCullough, Shelley Dean Kilpatrick, Robert A. Emmons, David B. Larson - Psychological Bulletin 2001 cited by 1,503

  14. Ethical Considerations in the Design and Conduct of Clinical Trials of Artificial Intelligence

    Authors: Alaa Youssef, Ariadne A. Nichol, Nicole Martinez‐Martin, David B. Larson, Michael D. Abràmoff, Risa M. Wolf, Danton Char - JAMA Network Open 2024 cited by 31

  15. Rising Use of CT in Child Visits to the Emergency Department in the United States, 1995–2008

    Authors: David B. Larson, Lara Johnson, Beverly Schnell, Marilyn J. Goske, Shelia Salisbury, Howard P. Forman - Radiology 2011 cited by 266

  16. National Trends in CT Use in the Emergency Department: 1995–2007

    Authors: David B. Larson, Lara Johnson, Beverly Schnell, Shelia Salisbury, Howard P. Forman - Radiology 2010 cited by 439

  17. A Framework for Describing Health Care Delivery Organizations and Systems

    Authors: Ileana L. Piña, Perry Cohen, David B. Larson, Lucy N. Marion, Marion R. Sills, Leif I. Solberg, Judy Zerzan - American Journal of Public Health 2014 cited by 104

  18. Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge

    Authors: Ian Pan, Hans Henrik Thodberg, Safwan S. Halabi, Jayashree Kalpathy–Cramer, David B. Larson - Radiology Artificial Intelligence 2019 cited by 56

  19. The ACR Learning Network: Facilitating Local Performance Improvement Through Shared Learning

    Authors: David B. Larson, Kandice Garcia Tomkins, Kay Zacharias‐Andrews, Neville Irani, Sarah M Pittman, Andrei S. Purysko, Ben Wandtke, Mythreyi Bhargavan - Journal of the American College of Radiology 2023 cited by 19

  20. RADPEER™ Scoring White Paper

    Authors: Valerie P. Jackson, Trudie Cushing, Hani H. Abujudeh, James P. Borgstede, Kenneth W. Chin, Charles K. Grimes, David B. Larson, Paul A. Larson, Robert S. Pyatt, William T. Thorwarth - Journal of the American College of Radiology 2008 cited by 134

  21. Imaging Quality Control in the Era of Artificial Intelligence

    Authors: David B. Larson, Giles W. Boland - Journal of the American College of Radiology 2019 cited by 40

  22. Improving Prostate MR Image Quality in Practice—Initial Results From the ACR Prostate MR Image Quality Improvement Collaborative

    Authors: Andrei S. Purysko, Kay Zacharias‐Andrews, Kandice Garcia Tomkins, Ismail Baris Turkbey, Francesco Giganti, Mythreyi Bhargavan, David B. Larson, Jeffrey Weinreb, Clare Tempany, Christopher Smith, Ann Hester, Kevin Chang, Sara Martin, Rajan Gupta, Erica Owenby, Logan McLean, Linda Campbell, Alessandro Furlan, Andrew Grills - Journal of the American College of Radiology 2024 cited by 21

  23. ACR-RADS Programs Current State and Future Opportunities: Defining a Governance Structure to Enable Sustained Success

    Authors: Matthew S. Davenport, Mythreyi Bhargavan, Jenny K. Hoang, Katherine E. Maturen, Nancy A. Obuchowski, Justin R. Tse, Jeffrey C. Weinreb, Dipleen Kaur, Lauren Attridge, David L Kurth, David B. Larson - Journal of the American College of Radiology 2022 cited by 17

  24. Emergency Department Computed Tomography Utilization in the United States and Canada

    Authors: Carl T. Berdahl, Marian J. Vermeulen, David B. Larson, Michael J. Schull - Annals of Emergency Medicine 2013 cited by 167