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James S. Duncan

1986–2026 年に発表

395
論文数
26,279
被引用数
76
h 指数
250
i10 指数

被引用数

James S. Duncan の年別被引用数1951 年: 被引用 1 件1956 年: 被引用 1 件1974 年: 被引用 1 件1975 年: 被引用 1 件1976 年: 被引用 2 件1980 年: 被引用 1 件1984 年: 被引用 1 件1986 年: 被引用 2 件1987 年: 被引用 1 件1988 年: 被引用 4 件1989 年: 被引用 2 件1990 年: 被引用 8 件1991 年: 被引用 14 件1992 年: 被引用 20 件1993 年: 被引用 26 件1994 年: 被引用 42 件1995 年: 被引用 56 件1996 年: 被引用 121 件1997 年: 被引用 92 件1998 年: 被引用 128 件1999 年: 被引用 196 件2000 年: 被引用 251 件2001 年: 被引用 276 件2002 年: 被引用 339 件2003 年: 被引用 444 件2004 年: 被引用 412 件2005 年: 被引用 426 件2006 年: 被引用 449 件2007 年: 被引用 553 件2008 年: 被引用 504 件2009 年: 被引用 531 件2010 年: 被引用 543 件2011 年: 被引用 533 件2012 年: 被引用 558 件2013 年: 被引用 546 件2014 年: 被引用 571 件2015 年: 被引用 352 件2016 年: 被引用 251 件2017 年: 被引用 242 件2018 年: 被引用 214 件2019 年: 被引用 416 件2020 年: 被引用 503 件2021 年: 被引用 725 件2022 年: 被引用 689 件2023 年: 被引用 729 件2024 年: 被引用 934 件2025 年: 被引用 686 件2026 年: 被引用 122 件1952〜1955 年は被引用が無いため表示していません1957〜1973 年は被引用が無いため表示していません1977〜1979 年は被引用が無いため表示していません1981〜1983 年は被引用が無いため表示していません1985 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 4,428 件、この内訳の 29.1%中国: 引用元論文 1,826 件、この内訳の 12%フランス: 引用元論文 1,049 件、この内訳の 6.9%イギリス: 引用元論文 981 件、この内訳の 6.5%ドイツ: 引用元論文 967 件、この内訳の 6.4%カナダ: 引用元論文 694 件、この内訳の 4.6%オランダ: 引用元論文 405 件、この内訳の 2.7%スイス: 引用元論文 336 件、この内訳の 2.2%スペイン: 引用元論文 323 件、この内訳の 2.1%インド: 引用元論文 302 件、この内訳の 2%オーストラリア: 引用元論文 281 件、この内訳の 1.8%イタリア: 引用元論文 280 件、この内訳の 1.8%
0%29.1%その他 21.9%

機関

分野

  • Computer Science41.2%
  • Medicine26.1%
  • Biochemistry, Genetics and Molecular Biology10.1%
  • Engineering8.6%
  • Neuroscience7.2%
  • Physics and Astronomy1.5%
  • その他5.3%

トピック

  • Medical Image Segmentation Techniques12%
  • Medical Imaging Techniques and Applications3.1%
  • AI in cancer detection3%
  • Radiomics and Machine Learning in Medical Imaging2.8%
  • Image Retrieval and Classification Techniques2.7%
  • Advanced MRI Techniques and Applications2.6%
  • その他73.8%

共著者

全論文

検索で開く
  1. A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

    著者: 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 被引用: 996

  2. SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation

    著者: Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2022 被引用: 314

  3. Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels

    著者: Chenyu You, Weicheng Dai, Fenglin Liu, Yifei Min, Nicha C. Dvornek, Xiaoxiao Li, David A. Clifton, Lawrence H. Staib, James S. Duncan - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2024 被引用: 70

  4. Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI

    著者: Charlie Alexander Hamm, Clinton J. Wang, Lynn Jeanette Savic, Marc Ferrante, Isabel Schobert, Todd Schlachter, MingDe Lin, James S. Duncan, Jeffrey C. Weinreb, Julius Chapiro, Brian Letzen - European Radiology 2019 被引用: 342

  5. Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective

    著者: Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, Xiaoran Zhang, Chen Feng, David A. Clifton, S. Kevin Zhou, Lawrence Hamilton Staib, James S. Duncan - Advances in Neural Information Processing Systems 36, NeurIPS 2023 被引用: 139

  6. Class-Aware Generative Adversarial Transformers for Medical Image Segmentation

    著者: Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan - Advances in Neural Information Processing Systems 35, NeurIPS 2022 被引用: 135

  7. The drug efflux pump MDR1 promotes intrinsic and acquired resistance to PROTACs in cancer cells

    著者: Alison Kurimchak, Carlos Herrera-Montávez, Sara Montserrat‐Sangrà, Daniela Araiza‐Olivera, Jianping Hu, Ryan Neumann-Domer, Mathew Kuruvilla, Alfonso Bellacosa, Joseph R. Testa, Jian Jin, James S. Duncan - Science Signaling 2022 被引用: 107

  8. Objective comparison of particle tracking methods

    著者: Nicolas Chenouard, Ihor Smal, Fabrice de Chaumont, Martin Maška, Ivo F. Sbalzarini, Yuanhao Gong, Janick Cardinale, Craig Carthel, Stefano Coraluppi, Mark Winter, Andrew R. Cohen, William J. Godinez, Karl Rohr, Yannis Kalaidzidis, Liang Liang, James S. Duncan, Hongying Shen, Yingke Xu, Klas E. G. Magnusson, Joakim Jaldén, Helen M. Blau, Perrine Paul-Gilloteaux, Philippe Roudot, Charles Kervrann, François Waharte, Jean-Yves Tinévez, Spencer Shorte, Joost Willemse, Katherine Celler, Gilles P. van Wezel, Han-Wei Dan, Yuh‐Show Tsai, Carlos Ortíz-de-Solórzano, Jean‐Christophe Olivo‐Marín, Erik Meijering - Nature Methods 2014 被引用: 923

  9. Medical Image Analysis: Progress over Two Decades and the Challenges Ahead

    著者: James S. Duncan, Nicholas Ayache - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2000 被引用: 4,164

  10. Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks

    著者: Nicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan - Lecture notes in computer science, MLMI@MICCAI 2017 被引用: 226

  11. DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography

    著者: Bo Zhou, Xiongchao Chen, S. Kevin Zhou, James S. Duncan, Chi Liu - Medical Image Analysis, Medical Image Anal. 2021 被引用: 92

  12. AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

    著者: Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan - NeurIPS 2020 被引用: 669

  13. Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction

    著者: Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin N. Sheth, Chi Liu, James S. Duncan, Michal Sofka - Medical Image Analysis, Medical Image Anal. 2022 被引用: 60

  14. Dynamic Reprogramming of the Kinome in Response to Targeted MEK Inhibition in Triple-Negative Breast Cancer

    著者: James S. Duncan, Martin C. Whittle, Kazuhiro Nakamura, Amy N. Abell, Alicia A. Midland, Jon S. Zawistowski, Nancy L. Johnson, Deborah A. Granger, Nicole Vincent Jordan, David B. Darr, Jerry Usary, Pei Fen Kuan, David M. Smalley, Ben Major, Xiaping He, Katherine A. Hoadley, Bing Zhou, Norman E. Sharpless, Charles M. Perou, William Y. Kim, Shawn M. Gomez, Xin Chen, Jian Jin, Stephen V. Frye, H. Shelton Earp, Lee M. Graves, Gary L. Johnson - Cell 2012 被引用: 750

  15. Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features

    著者: Clinton J. Wang, Charlie Alexander Hamm, Lynn Jeanette Savic, Marc Ferrante, Isabel Schobert, Todd Schlachter, MingDe Lin, Jeffrey C. Weinreb, James S. Duncan, Julius Chapiro, Brian Letzen - European Radiology 2019 被引用: 151

  16. Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer

    著者: Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 被引用: 63

  17. DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction

    著者: Bo Zhou, Xiongchao Chen, Huidong Xie, S. Kevin Zhou, James S. Duncan, Chi Liu - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2022 被引用: 43

  18. Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence Concept

    著者: Aaron Abajian, Nikitha Murali, Lynn Jeanette Savic, Fabian Max Laage-Gaupp, Nariman Nezami, James S. Duncan, Todd Schlachter, MingDe Lin, Jean-François Geschwind, Julius Chapiro - Journal of Vascular and Interventional Radiology 2018 被引用: 172

  19. Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis

    著者: Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan - Lecture notes in computer science, MICCAI (7) 2020 被引用: 77

  20. BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

    著者: Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan - Medical Image Analysis, Medical Image Anal. 2020 被引用: 708

  21. FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

    著者: Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An‐Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred Prior, Gabriël P. Krestin, Gary Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C Woodruf, Mayer, Horst Joachim, Hugo J.W.L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Tributsch, Isabell, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy Wawira Gichoya, Julia A. Schnabel, Kaisar Kushibar, Katrine Riklund, Kensaku Mori, Kostas Marias, Lameck Mbangula Amugongo, Lauren A. Fromont, Lena Maier‐Hein, L. Cerdá Alberich, Letícia Rittner, Lighton Phiri, Linda Marrakchi‐Kacem, Lluís Donoso-Bach, Luis Martí‐Bonmatí, M. Jorge Cardoso, Maciej Bobowicz, Mahsa Shabani, Manolis Tsiknakis, María A. Zuluaga, Mária Bieliková, Marie-Christine Fritzsche, Camacho, Marina, Marius George Linguraru, Markus Wenzel, Marleen de Bruijne, Martin G. Tolsgaard, Marzyeh Ghassemi, Md. Ashrafuzzaman, Melanie Goisauf, Mohammad Yaqub, Mónica Cano Abadía, Mukhtar M. E. Mahmoud, Mustafa Elattar, Nicola Rieke, Nickolas Papanikolaou, Noussair Lazrak, Oliver Díaz, Olivier Salvado, Oriol Pujol, Ousmane Sall, Pamela Guevara, Peter Gordebeke, Philippe Lambin, Pieta Brown, Purang Abolmaesumi, Qi Dou, Qinghua Lu, Richard Osuala, Rose Nakasi, S Kevin Zhou ほか 20 名 - arXiv (Cornell University), CoRR 2023 被引用: 38

  22. Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography

    著者: Shawn S. Ahn, Kevinminh Ta, Stephanie Thorn, John A. Onofrey, Inga H. Melvinsdottir, Supum Lee, Jonathan Langdon, Albert J. Sinusas, James S. Duncan - Medical Image Analysis, Medical Image Anal. 2022 被引用: 28

  23. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology

    著者: Marina Z. Joel, Sachin Umrao, Enoch Chang, Rachel Choi, Daniel X. Yang, James S. Duncan, Antonio Omuro, Roy Herbst, Harlan M. Krumholz, Sanjay Aneja - JCO Clinical Cancer Informatics 2022 被引用: 38

  24. Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver

    著者: Paula M. Oestmann, Clinton J. Wang, Lynn Jeanette Savic, Charlie Alexander Hamm, Sophie Stark, Isabel Schobert, Bernhard Gebauer, Todd Schlachter, MingDe Lin, Jeffrey C. Weinreb, Ramesh Batra, David C. Mulligan, Xuchen Zhang, James S. Duncan, Julius Chapiro - European Radiology 2021 被引用: 80