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David B. Larson

1978–2025 年に発表

85
論文数
24,527
被引用数
62
h 指数
76
i10 指数

被引用数

David B. Larson の年別被引用数1980 年: 被引用 1 件1982 年: 被引用 1 件1983 年: 被引用 2 件1984 年: 被引用 1 件1985 年: 被引用 1 件1986 年: 被引用 3 件1988 年: 被引用 14 件1989 年: 被引用 14 件1990 年: 被引用 13 件1991 年: 被引用 15 件1992 年: 被引用 28 件1993 年: 被引用 12 件1994 年: 被引用 22 件1995 年: 被引用 14 件1996 年: 被引用 13 件1997 年: 被引用 29 件1998 年: 被引用 41 件1999 年: 被引用 47 件2000 年: 被引用 59 件2001 年: 被引用 82 件2002 年: 被引用 113 件2003 年: 被引用 146 件2004 年: 被引用 138 件2005 年: 被引用 170 件2006 年: 被引用 132 件2007 年: 被引用 110 件2008 年: 被引用 108 件2009 年: 被引用 100 件2010 年: 被引用 83 件2011 年: 被引用 115 件2012 年: 被引用 98 件2013 年: 被引用 86 件2014 年: 被引用 63 件2015 年: 被引用 64 件2016 年: 被引用 78 件2017 年: 被引用 72 件2018 年: 被引用 91 件2019 年: 被引用 279 件2020 年: 被引用 409 件2021 年: 被引用 410 件2022 年: 被引用 319 件2023 年: 被引用 280 件2024 年: 被引用 392 件2025 年: 被引用 263 件2026 年: 被引用 55 件1981 年は被引用が無いため表示していません1987 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・地域の世界地図アメリカ合衆国: 引用元論文 1,960 件、この内訳の 38.9%中国: 引用元論文 358 件、この内訳の 7.1%イギリス: 引用元論文 349 件、この内訳の 6.9%カナダ: 引用元論文 202 件、この内訳の 4%ドイツ: 引用元論文 198 件、この内訳の 3.9%オーストラリア: 引用元論文 136 件、この内訳の 2.7%オランダ: 引用元論文 126 件、この内訳の 2.5%イタリア: 引用元論文 123 件、この内訳の 2.5%インド: 引用元論文 113 件、この内訳の 2.3%韓国: 引用元論文 97 件、この内訳の 1.9%フランス: 引用元論文 79 件、この内訳の 1.6%ブラジル: 引用元論文 71 件、この内訳の 1.4%
0%38.9%その他 24.3%

機関

分野

  • Medicine44.6%
  • Social Sciences22.7%
  • Computer Science10.3%
  • Psychology7.3%
  • Arts and Humanities2.7%
  • Health Professions2.7%
  • その他9.7%

トピック

  • 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%
  • その他75%

共著者

全論文

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

    著者: 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 被引用: 2,564

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

    著者: 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 被引用: 728

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

    著者: David B. Larson, David Magnus, Matthew P. Lungren, Nigam H. Shah, Curtis P. Langlotz - Radiology 2020 被引用: 186

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

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

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

    著者: David B. Larson, Matthew C. Chen, Matthew P. Lungren, Safwan S. Halabi, Nicholas Stence, Curtis P. Langlotz - Radiology 2017 被引用: 458

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

    著者: 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 被引用: 127

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

    著者: 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 被引用: 77

  8. Deep Learning to Classify Radiology Free-Text Reports

    著者: 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 被引用: 223

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

    著者: 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 被引用: 82

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

    著者: David B. Larson, Alexander J. Towbin, Rebecca M. Pryor, Lane F. Donnelly - Radiology 2013 被引用: 222

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

    著者: 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 被引用: 26

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

    著者: 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 被引用: 22

  13. Is gratitude a moral affect?

    著者: Michael E. McCullough, Shelley Dean Kilpatrick, Robert A. Emmons, David B. Larson - Psychological Bulletin 2001 被引用: 1,503

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

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

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

    著者: David B. Larson, Lara Johnson, Beverly Schnell, Marilyn J. Goske, Shelia Salisbury, Howard P. Forman - Radiology 2011 被引用: 266

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

    著者: David B. Larson, Lara Johnson, Beverly Schnell, Shelia Salisbury, Howard P. Forman - Radiology 2010 被引用: 439

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

    著者: 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 被引用: 104

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

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

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

    著者: 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 被引用: 19

  20. RADPEER™ Scoring White Paper

    著者: 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 被引用: 134

  21. Imaging Quality Control in the Era of Artificial Intelligence

    著者: David B. Larson, Giles W. Boland - Journal of the American College of Radiology 2019 被引用: 40

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

    著者: 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 被引用: 21

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

    著者: 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 被引用: 17

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

    著者: Carl T. Berdahl, Marian J. Vermeulen, David B. Larson, Michael J. Schull - Annals of Emergency Medicine 2013 被引用: 167