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Daniel L. Rubin

1992–2026 年に発表

342
論文数
26,554
被引用数
80
h 指数
249
i10 指数

被引用数

Daniel L. Rubin の年別被引用数1983 年: 被引用 1 件1986 年: 被引用 1 件1991 年: 被引用 3 件1994 年: 被引用 1 件1995 年: 被引用 1 件1996 年: 被引用 3 件1997 年: 被引用 4 件1998 年: 被引用 1 件1999 年: 被引用 3 件2000 年: 被引用 7 件2001 年: 被引用 8 件2002 年: 被引用 14 件2003 年: 被引用 17 件2004 年: 被引用 38 件2005 年: 被引用 47 件2006 年: 被引用 45 件2007 年: 被引用 58 件2008 年: 被引用 106 件2009 年: 被引用 174 件2010 年: 被引用 227 件2011 年: 被引用 282 件2012 年: 被引用 345 件2013 年: 被引用 353 件2014 年: 被引用 367 件2015 年: 被引用 352 件2016 年: 被引用 425 件2017 年: 被引用 544 件2018 年: 被引用 667 件2019 年: 被引用 1,256 件2020 年: 被引用 1,394 件2021 年: 被引用 1,611 件2022 年: 被引用 1,563 件2023 年: 被引用 1,496 件2024 年: 被引用 1,702 件2025 年: 被引用 1,101 件2026 年: 被引用 193 件1984〜1985 年は被引用が無いため表示していません1987〜1990 年は被引用が無いため表示していません1992〜1993 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 4,503 件、この内訳の 24.2%中国: 引用元論文 2,646 件、この内訳の 14.2%イギリス: 引用元論文 1,125 件、この内訳の 6.1%ドイツ: 引用元論文 845 件、この内訳の 4.5%インド: 引用元論文 745 件、この内訳の 4%カナダ: 引用元論文 655 件、この内訳の 3.5%イタリア: 引用元論文 574 件、この内訳の 3.1%フランス: 引用元論文 527 件、この内訳の 2.8%オーストラリア: 引用元論文 474 件、この内訳の 2.6%オランダ: 引用元論文 457 件、この内訳の 2.5%韓国: 引用元論文 453 件、この内訳の 2.4%スペイン: 引用元論文 379 件、この内訳の 2%
0%24.2%その他 28.1%

機関

分野

  • Medicine39%
  • Computer Science32.1%
  • Biochemistry, Genetics and Molecular Biology13%
  • Neuroscience8%
  • Engineering2.6%
  • Health Professions1%
  • その他4.3%

トピック

  • Radiomics and Machine Learning in Medical Imaging9.2%
  • AI in cancer detection8.2%
  • Biomedical Text Mining and Ontologies4.3%
  • Artificial Intelligence in Healthcare and Education3%
  • Semantic Web and Ontologies2.6%
  • COVID-19 diagnosis using AI2.4%
  • その他70.3%

共著者

全論文

検索で開く
  1. A curated mammography data set for use in computer-aided detection and diagnosis research

    著者: Rebecca Sawyer Lee, Francisco Javier Giménez Fuentes‐Guerra, Assaf Hoogi, Kanae K. Miyake, Mia Gorovoy, Daniel L. Rubin - Scientific Data 2017 被引用: 796

  2. 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

  3. A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions

    著者: Sergios Gatidis, Tobias Hepp, Marcel Früh, Christian la Fougère, Konstantin Nikolaou, Christina Pfannenberg, Bernhard Schölkopf, Thomas Küstner, Clemens C. Cyran, Daniel L. Rubin - Scientific Data 2022 被引用: 248

  4. Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

    著者: Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson - Journal of Digital Imaging, J. Digit. Imaging 2017 被引用: 1,109

  5. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

    著者: Kun‐Hsing Yu, Ce Zhang, Gerald J. Berry, Russ B. Altman, Christopher Ré, Daniel L. Rubin, M Snyder - Nature Communications 2016 被引用: 1,013

  6. Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

    著者: Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2023 被引用: 164

  7. Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study

    著者: Rikiya Yamashita, Jin Long, Teri A. Longacre, Lan Peng, Gerald J. Berry, Brock A. Martin, John Higgins, Daniel L. Rubin, Jeanne Shen - The Lancet Oncology 2020 被引用: 379

  8. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

    著者: Thomas Schaffter, Diana S.M. Buist, Christoph I. Lee, Yaroslav Nikulin, Dezső Ribli, Yuanfang Guan, William Lotter, Zequn Jie, Hao Du, Sijia Wang, Jiashi Feng, Mengling Feng, Hyoeun Kim, F. Albiol, Alberto Albiol, Stephen Morrell, Zbigniew Wojna, Mehmet Eren Ahsen, Umar Asif, Antonio Jimeno Yepes, Shivanthan A.C. Yohanandan, Simona Rabinovici‐Cohen, Darvin Yi, Bruce Hoff, Thomas Yu, Elias Chaibub Neto, Daniel L. Rubin, Peter Lindholm, Laurie R. Margolies, Russell B. McBride, Joseph H. Rothstein, Weiva Sieh, Rami Ben‐Ari, Stefan Harrer, Andrew D. Trister, Stephen Friend, Thea Norman, Berkman Sahiner, Fredrik Strand, Justin Guinney, Gustavo Stolovitzky, Lester Mackey, Joyce Cahoon, Li Shen, Jae Ho Sohn, Hari Trivedi, Yiqiu Shen, Ljubomir Buturović, José Costa Pereira, Jaime S. Cardoso, Eduardo Castro, Karl Trygve Kalleberg, Obioma Pelka, Imane Nedjar, Krzysztof J. Geras, Felix Nensa, Ethan Goan, Sven Koitka, L. Caballero, David Cox, Pavitra Krishnaswamy, Gaurav Pandey, Christoph M. Friedrich, Dimitri Perrin, Clinton Fookes, Bibo Shi, Gerard Cardoso Negrie, Michael Kawczynski, Kyunghyun Cho, Can Son Khoo, Joseph Y. Lo, A. Gregory Sorensen, Hwejin Jung - JAMA Network Open 2020 被引用: 414

  9. A radiogenomic dataset of non-small cell lung cancer

    著者: Shaimaa Bakr, Olivier Gevaert, Sebastian Echegaray, Kelsey Ayers, Mu Zhou, Mājid Shafiq, Hong Zheng, Jalen Benson, Weiruo Zhang, Ann N. Leung, Michel Kadoch, Chuong D. Hoang, Joseph B. Shrager, Andrew Quon, Daniel L. Rubin, Sylvia K. Plevritis, Sandy Napel - Scientific Data 2018 被引用: 315

  10. CT-ORG, a new dataset for multiple organ segmentation in computed tomography

    著者: Blaine Rister, Darvin Yi, Kaushik Shivakumar, Tomomi W. Nobashi, Daniel L. Rubin - Scientific Data 2020 被引用: 142

  11. Distributed deep learning networks among institutions for medical imaging

    著者: Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer - Journal of the American Medical Informatics Association, J. Am. Medical Informatics Assoc. 2018 被引用: 345

  12. Privacy preservation for federated learning in health care

    著者: Sarthak Pati, Sourav Kumar, Amokh Varma, Brandon Edwards, Charles Lu, Liangqiong Qu, Justin J. Wang, Anantharaman Lakshminarayanan, Shih-han Wang, Micah J. Sheller, Ken Chang, Praveer Singh, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Spyridon Bakas - Patterns 2024 被引用: 142

  13. Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy

    著者: Jia Wu, Guohong Cao, Xiaoli Sun, Juheon Lee, Daniel L. Rubin, Sandy Napel, Allison W. Kurian, Bruce L. Daniel, Ruijiang Li - Radiology 2018 被引用: 209

  14. SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging

    著者: Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2022 被引用: 79

  15. 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

  16. Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification

    著者: Imon Banerjee, Ling Yuan, Matthew C. Chen, Sadid A. Hasan, Curtis P. Langlotz, N Moradzadeh, Brian E. Chapman, Timothy J. Amrhein, David A. Mong, Daniel L. Rubin, Oladimeji Farri, Matthew P. Lungren - Artificial Intelligence in Medicine, Artif. Intell. Medicine 2018 被引用: 280

  17. Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence

    著者: Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia - Nature Machine Intelligence, Nat. Mach. Intell. 2021 被引用: 76

  18. Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease

    著者: Kaustubh Supekar, Vinod Menon, Daniel L. Rubin, Mark A. Musen, Michael D. Greicius - PLoS Computational Biology, PLoS Comput. Biol. 2008 被引用: 1,170

  19. Federated Learning for Breast Density Classification: A Real-World Implementation

    著者: Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer - Lecture notes in computer science, DART/DCL@MICCAI 2020 被引用: 124

  20. BioPortal: ontologies and integrated data resources at the click of a mouse

    著者: Natalya Fridman Noy, Nigam H. Shah, Patricia L. Whetzel, Benjamin Dai, Michael Dorf, Nicholas Griffith, Clément Jonquet, Daniel L. Rubin, Margaret-Anne D. Storey, Christopher G. Chute, Mark A. Musen - Nucleic Acids Research, Nucleic Acids Res. 2009 被引用: 884

  21. RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR

    著者: Yuyin Zhou, Shih-Cheng Huang, Jason Alan Fries, Alaa Youssef, Timothy J. Amrhein, Marcello Chang, Imon Banerjee, Daniel L. Rubin, Lei Xing, Nigam Shah, Matthew P. Lungren - arXiv (Cornell University), CoRR 2021 被引用: 47

  22. Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs

    著者: Jared Dunnmon, Darvin Yi, Curtis P. Langlotz, Christopher Ré, Daniel L. Rubin, Matthew P. Lungren - Radiology 2018 被引用: 209

  23. Progression of Photoreceptor Degeneration in Geographic Atrophy Secondary to Age-related Macular Degeneration

    著者: Maximilian Pfau, Leon von der Emde, Luís de Sisternes, Joelle Hallak, Theodore Leng, Steffen Schmitz-Valckenberg, Frank G. Holz, Monika Fleckenstein, Daniel L. Rubin - JAMA Ophthalmology 2020 被引用: 144

  24. Integrating Al Algorithms into the Clinical Workflow

    著者: Krishna Juluru, Hao-Hsin Shih, Krishna Nand Keshava Murthy, Pierre Elnajjar, Amin El-Rowmeim, Christopher J. Roth, Brad Genereaux, Josef J. Fox, Eliot L. Siegel, Daniel L. Rubin - Radiology Artificial Intelligence 2021 被引用: 74