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Qi Dou

2015–2026 年に発表

364
論文数
30,194
被引用数
71
h 指数
190
i10 指数

被引用数

Qi Dou の年別被引用数1941 年: 被引用 1 件1969 年: 被引用 2 件1971 年: 被引用 1 件1978 年: 被引用 1 件1981 年: 被引用 2 件1983 年: 被引用 1 件1984 年: 被引用 1 件1985 年: 被引用 1 件1986 年: 被引用 1 件1988 年: 被引用 1 件1989 年: 被引用 1 件1990 年: 被引用 2 件1991 年: 被引用 1 件1993 年: 被引用 1 件1998 年: 被引用 1 件1999 年: 被引用 1 件2003 年: 被引用 5 件2005 年: 被引用 1 件2006 年: 被引用 4 件2007 年: 被引用 7 件2008 年: 被引用 3 件2009 年: 被引用 6 件2010 年: 被引用 6 件2011 年: 被引用 4 件2012 年: 被引用 1 件2013 年: 被引用 3 件2014 年: 被引用 2 件2016 年: 被引用 53 件2017 年: 被引用 259 件2018 年: 被引用 663 件2019 年: 被引用 1,291 件2020 年: 被引用 1,720 件2021 年: 被引用 2,071 件2022 年: 被引用 1,973 件2023 年: 被引用 2,279 件2024 年: 被引用 2,660 件2025 年: 被引用 2,315 件2026 年: 被引用 682 件1942〜1968 年は被引用が無いため表示していません1970 年は被引用が無いため表示していません1972〜1977 年は被引用が無いため表示していません1979〜1980 年は被引用が無いため表示していません1982 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1992 年は被引用が無いため表示していません1994〜1997 年は被引用が無いため表示していません2000〜2002 年は被引用が無いため表示していません2004 年は被引用が無いため表示していません2015 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・地域の世界地図中国: 引用元論文 5,568 件、この内訳の 29.1%アメリカ合衆国: 引用元論文 2,898 件、この内訳の 15.2%イギリス: 引用元論文 1,126 件、この内訳の 5.9%インド: 引用元論文 860 件、この内訳の 4.5%香港: 引用元論文 813 件、この内訳の 4.3%ドイツ: 引用元論文 680 件、この内訳の 3.6%カナダ: 引用元論文 534 件、この内訳の 2.8%オーストラリア: 引用元論文 520 件、この内訳の 2.7%韓国: 引用元論文 486 件、この内訳の 2.5%日本: 引用元論文 364 件、この内訳の 1.9%オランダ: 引用元論文 354 件、この内訳の 1.9%フランス: 引用元論文 349 件、この内訳の 1.8%
0%29.1%その他 23.8%

機関

分野

  • Computer Science45.4%
  • Medicine37.4%
  • Engineering7.2%
  • Neuroscience3.7%
  • Biochemistry, Genetics and Molecular Biology2.2%
  • Physics and Astronomy1.2%
  • その他2.9%

トピック

  • AI in cancer detection11.4%
  • Radiomics and Machine Learning in Medical Imaging9.1%
  • Advanced Neural Network Applications5.7%
  • COVID-19 diagnosis using AI5%
  • Medical Image Segmentation Techniques4.3%
  • Brain Tumor Detection and Classification3%
  • その他61.5%

共著者

全論文

検索で開く
  1. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

    著者: Babak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Meyke Hermsen, Quirine F. Manson, Maschenka Balkenhol, Oscar Geessink, Nikolas Stathonikos, Marcory CRF van Dijk, Peter Bult, Francisco Beça, Andrew H. Beck, Dayong Wang, Aditya Khosla, Rishab Gargeya, Humayun Irshad, Aoxiao Zhong, Qi Dou, Quanzheng Li, Hao Chen, Huangjing Lin, Pheng‐Ann Heng, Christian Haß, Elia Bruni, Q. K. Wong, Uğur Halıcı, Mustafa Ümit Öner, Rengül Çetin-Atalay, Matt Berseth, Vitali Khvatkov, Alexei Vylegzhanin, Oren Kraus, Muhammad Shaban, Nasir Rajpoot, Ruqayya Awan, Korsuk Sirinukunwattana, Talha Qaiser, Yee‐Wah Tsang, David Tellez, Jonas Annuscheit, Peter Hufnagl, Mira Valkonen, Kimmo Kartasalo, Leena Latonen, Pekka Ruusuvuori, Kaisa Liimatainen, Shadi Albarqouni, Bharti Mungal, Ami George, Stefanie Demirci, Nassir Navab, Seiryo Watanabe, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda, Hady Ahmady Phoulady, Vassili Kovalev, Alexander Kalinovsky, Vitali Liauchuk, Gloria Bueno, M. Milagro Fernández-Carrobles, Ismael Serrano, Óscar Déniz, Daniel Racoceanu, Rui Venâncio - JAMA 2017 被引用: 3,297

  2. The Liver Tumor Segmentation Benchmark (LiTS)

    著者: Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren ほか 9 名 - Medical Image Analysis, Medical Image Anal. 2022 被引用: 1,164

  3. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

    著者: Arnaud A. A. Setio, Alberto Traverso, Thomas de Bel, Moira S.N. Berens, Cas van den Bogaard, P. Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng‐Ann Heng, Bart Jansen, Michael M.J. de Kaste, В. М. Котов, Jack Yu-Hung Lin, Jeroen T.M.C. Manders, Alexander Sóñora-Mengana, Juan Carlos García Naranjo, Evgenia Papavasileiou, Mathias Prokop, M. Saletta, Cornelia Schaefer‐Prokop, Ernst T. Scholten, Luuk Scholten, Miranda Snoeren, E. López Torres, Jef Vandemeulebroucke, Nicole Walasek, Guido Zuidhof, Bram van Ginneken, Colin Jacobs - Medical Image Analysis, Medical Image Anal. 2017 被引用: 1,332

  4. FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

    著者: Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou - ICLR 2021 被引用: 1,241

  5. Federated learning enables big data for rare cancer boundary detection

    著者: Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina, Patrick Foley, А. Д. Груздев, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Kickingereder, Gianluca Brugnara, Chandrakanth Jayachandran Preetha, Felix Sahm, Klaus Maier‐Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier Villanueva‐Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John W. Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balañá, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph S. Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng‐Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim M. Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James Holcomb, Benjamin Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia C. Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh‐Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre X. Falcão, Samuel Botter Martins, Bernardo Corrêa de Almeida Teixeira, F Sprenger, David Menotti, Diego Rafael Lucio, Pamela LaMontagne, Daniel S. Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz ほか 179 名 - Nature Communications 2022 被引用: 340

  6. Any-point Trajectory Modeling for Policy Learning

    著者: Chuan Wen, Xingyu Lin, John Ian Reyes So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel - Robotics: Science and Systems XX 2024 被引用: 153

  7. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

    著者: Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2016 被引用: 1,139

  8. MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

    著者: Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 被引用: 286

  9. Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model

    著者: Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 被引用: 280

  10. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

    著者: Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2019 被引用: 407

  11. Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

    著者: Yuehao Wang, Yonghao Long, Siu Hin Fan, Qi Dou - Lecture notes in computer science, MICCAI (8) 2022 被引用: 148

  12. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

    著者: Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Pheng-Ann Heng - NeuroImage 2017 被引用: 791

  13. MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images

    著者: Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot - Medical Image Analysis, Medical Image Anal. 2018 被引用: 334

  14. SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation

    著者: Kai Chen, Qi Dou - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 被引用: 149

  15. HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images

    著者: Meirui Jiang, Zirui Wang, Qi Dou - AAAI Conference on Artificial Intelligence 2022 被引用: 155

  16. 3D deeply supervised network for automated segmentation of volumetric medical images

    著者: Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng - Medical Image Analysis, Medical Image Anal. 2017 被引用: 631

  17. SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network

    著者: Yueming Jin, Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2017 被引用: 318

  18. 3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation

    著者: Shizhan Gong, Yuan Zhong, Wenao Ma, Jinpeng Li, Zhao Wang, Jingyang Zhang, Pheng-Ann Heng, Qi Dou - Medical Image Analysis, Medical Image Anal. 2024 被引用: 94

  19. Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning

    著者: Lidong Yang, Jialin Jiang, Xiaojie Gao, Qinglong Wang, Qi Dou, Li Zhang - Nature Machine Intelligence, Nat. Mach. Intell. 2022 被引用: 227

  20. The Liver Tumor Segmentation Benchmark (LiTS)

    著者: Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev‐Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivantik, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan S. Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Míriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi‐Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Gruen, Xu Han, Pheng‐Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul F. Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae Hun Kim, Sungwoong Kim, Simon Köhl, Tomasz Konopczyński, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John Lowengrub, Jun Ma, Klaus Maier‐Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Qi Jin, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasúa, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon C.H. Yu, Yading Yuan, Miao Yu, Liping Zhang, M. Jorge Cardoso, Spyridon Bakas, Rickmer Braren ほか 9 名 - CoRR 2019 被引用: 360

  21. Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

    著者: Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng - npj Digital Medicine, npj Digit. Medicine 2021 被引用: 272

  22. DCAN: Deep contour-aware networks for object instance segmentation from histology images

    著者: Hao Chen, Xiaojuan Qi, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng - Medical Image Analysis, Medical Image Anal. 2016 被引用: 512

  23. Learning With Privileged Multimodal Knowledge for Unimodal Segmentation

    著者: Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng-Ann Heng - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 被引用: 104

  24. CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects

    著者: Zhao Wang, Aoxue Li, Enze Xie, Lingting Zhu, Yong Guo, Qi Dou, Zhenguo Li - arXiv (Cornell University), CoRR 2024 被引用: 63