litlas
ログインアカウント作成

Matthew P. Lungren

2015–2026 年に発表

143
論文数
22,340
被引用数
59
h 指数
113
i10 指数

被引用数

Matthew P. Lungren の年別被引用数1963 年: 被引用 1 件2004 年: 被引用 1 件2005 年: 被引用 3 件2006 年: 被引用 1 件2007 年: 被引用 2 件2012 年: 被引用 2 件2013 年: 被引用 1 件2014 年: 被引用 2 件2017 年: 被引用 5 件2018 年: 被引用 160 件2019 年: 被引用 483 件2020 年: 被引用 1,087 件2021 年: 被引用 1,403 件2022 年: 被引用 1,357 件2023 年: 被引用 1,708 件2024 年: 被引用 2,589 件2025 年: 被引用 3,230 件2026 年: 被引用 1,102 件2027 年: 被引用 2 件1964〜2003 年は被引用が無いため表示していません2008〜2011 年は被引用が無いため表示していません2015〜2016 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 2,930 件、この内訳の 21.8%中国: 引用元論文 2,265 件、この内訳の 16.8%イギリス: 引用元論文 898 件、この内訳の 6.7%ドイツ: 引用元論文 586 件、この内訳の 4.4%インド: 引用元論文 559 件、この内訳の 4.2%カナダ: 引用元論文 546 件、この内訳の 4.1%オーストラリア: 引用元論文 417 件、この内訳の 3.1%韓国: 引用元論文 364 件、この内訳の 2.7%イタリア: 引用元論文 311 件、この内訳の 2.3%香港: 引用元論文 235 件、この内訳の 1.7%フランス: 引用元論文 227 件、この内訳の 1.7%日本: 引用元論文 220 件、この内訳の 1.6%
0%21.8%その他 28.9%

機関

分野

  • Medicine50.5%
  • Computer Science34%
  • Engineering3.7%
  • Biochemistry, Genetics and Molecular Biology2.4%
  • Neuroscience2.1%
  • Health Professions1.2%
  • その他6.1%

トピック

  • COVID-19 diagnosis using AI8.4%
  • Radiomics and Machine Learning in Medical Imaging7.7%
  • Artificial Intelligence in Healthcare and Education7.1%
  • AI in cancer detection6.4%
  • Topic Modeling3.8%
  • Machine Learning in Healthcare3.5%
  • その他63.1%

共著者

全論文

検索で開く
  1. MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

    著者: Alistair E. W. Johnson, Tom Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-Ying Deng, Roger G. Mark, Steven Horng - Scientific Data 2019 被引用: 1,621

  2. TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers

    著者: Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou - Medical Image Analysis, Medical Image Anal. 2024 被引用: 988

  3. Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing

    著者: Sheng Zhang, Yanbo Xu, Naoto Usuyama, Xu, Hanwen, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh P. N. Rao, Wei Mu, Naveen Valluri, Cliff Wong, Tupini, Andrea, Wang, Yu, Mazzola, Matt, Shukla, Swadheen, Liden, Lars, Gao, Jianfeng, Crabtree, Angela, Piening, Brian, Bifulco, Carlo, Matthew P. Lungren, Tristan Naumann, Wang, Sheng, Hoifung Poon - arXiv (Cornell University), CoRR 2023 被引用: 544

  4. MIMIC-CXR: A large publicly available database of labeled chest radiographs

    著者: Alistair E. W. Johnson, Tom Pollard, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-Ying Deng, Yifan Peng, Zhiyong Lu, Roger G. Mark, Seth J. Berkowitz, Steven Horng - arXiv (Cornell University), CoRR 2019 被引用: 608

  5. Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

    著者: Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P. Lungren - npj Digital Medicine, npj Digit. Medicine 2020 被引用: 799

  6. GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition

    著者: Shih-Cheng Huang, Liyue Shen, Matthew P. Lungren, Serena Yeung - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 被引用: 396

  7. Self-supervised learning for medical image classification: a systematic review and implementation guidelines

    著者: Shih-Cheng Huang, Anuj Pareek, Malte E. K. Jensen, Matthew P. Lungren, Serena Yeung, Akshay S. Chaudhari - npj Digital Medicine, npj Digit. Medicine 2023 被引用: 412

  8. Preparing Medical Imaging Data for Machine Learning

    著者: 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 被引用: 976

  9. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

    著者: Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng - arXiv (Cornell University), CoRR 2017 被引用: 1,458

  10. AI recognition of patient race in medical imaging: a modelling study

    著者: Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramón Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po‐Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Lauren Oakden‐Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang - The Lancet Digital Health 2022 被引用: 518

  11. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

    著者: Pranav Rajpurkar, Jeremy Irvin, Robyn L. Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Francis G. Blankenberg, Jayne Seekins, Timothy J. Amrhein, David A. Mong, Safwan S. Halabi, Evan J. Zucker, Andrew Y. Ng, Matthew P. Lungren - PLoS Medicine 2018 被引用: 1,392

  12. 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

  13. The Current and Future State of AI Interpretation of Medical Images

    著者: Pranav Rajpurkar, Matthew P. Lungren - New England Journal of Medicine 2023 被引用: 422

  14. 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

  15. MAIRA-2: Grounded Radiology Report Generation

    著者: Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Anton Schwaighofer, Anja Thieme, Sam Bond-Taylor, Maximilian Ilse, Fernando Pérez‐García, Valentina Salvatelli, Harshita Sharma, Felix Meissen, Mercy Ranjit, Shaury Srivastav, Julia Gong, Codella, Noel C. F., Fabian Falck, Ozan Oktay, Matthew P. Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie L. Hyland - arXiv (Cornell University), CoRR 2024 被引用: 136

  16. A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs

    著者: Sheng Zhang, Yanbo Xu, Naoto Usuyama, Hanwen Xu, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Andrea Tupini, Yu Wang, Matt Mazzola, Swadheen Shukla, Lars Lidén, Jianfeng Gao, Angela Crabtree, Brian Piening, Carlo Bifulco, Matthew P. Lungren, Tristan Naumann, Sheng Wang, Hoifung Poon - NEJM AI 2024 被引用: 178

  17. RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

    著者: Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre J. Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar - NeurIPS Datasets and Benchmarks 2021 被引用: 435

  18. Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

    著者: Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren - Conference on Empirical Methods in Natural Language Processing (EMNLP), EMNLP (1) 2020 被引用: 223

  19. CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

    著者: Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren - arXiv (Cornell University), CoRR 2020 被引用: 147

  20. MAIRA-1: A specialised large multimodal model for radiology report generation

    著者: Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, Noel Codella, Matthew P. Lungren, Maria Teodora Wetscherek, Ozan Oktay, Javier Alvarez-Valle - arXiv (Cornell University), CoRR 2023 被引用: 87

  21. Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

    著者: Shih-Cheng Huang, Anuj Pareek, Roham T. Zamanian, Imon Banerjee, Matthew P. Lungren - Scientific Reports 2020 被引用: 242

  22. High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning

    著者: Grant Duffy, Paul P. Cheng, Neal Yuan, Bryan He, Alan C. Kwan, Matthew J. Shun-Shin, Kevin M. Alexander, Joseph Ebinger, Matthew P. Lungren, Florian Rader, David H. Liang, Ingela Schnittger, Euan A. Ashley, James Y. Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang - JAMA Cardiology 2022 被引用: 220

  23. Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology

    著者: Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek, Junaid Bajwa, Joseph Jacob, Mark Ames Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme - CHI Conference on Human Factors in Computing Systems 2024 被引用: 75

  24. Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

    著者: Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad - npj Digital Medicine, npj Digit. Medicine 2022 被引用: 197