Qi Dou

Active 2015–2026

364
Papers
30,194
Citations
71
h-index
190
i10-index

Citations

Citations per year for Qi Dou1941: 1 citations1969: 2 citations1971: 1 citations1978: 1 citations1981: 2 citations1983: 1 citations1984: 1 citations1985: 1 citations1986: 1 citations1988: 1 citations1989: 1 citations1990: 2 citations1991: 1 citations1993: 1 citations1998: 1 citations1999: 1 citations2003: 5 citations2005: 1 citations2006: 4 citations2007: 7 citations2008: 3 citations2009: 6 citations2010: 6 citations2011: 4 citations2012: 1 citations2013: 3 citations2014: 2 citations2016: 53 citations2017: 259 citations2018: 663 citations2019: 1,291 citations2020: 1,720 citations2021: 2,071 citations2022: 1,973 citations2023: 2,279 citations2024: 2,660 citations2025: 2,315 citations2026: 682 citations1942–1968: no citations, so these years are not shown1970: no citations, so this year is not shown1972–1977: no citations, so these years are not shown1979–1980: no citations, so these years are not shown1982: no citations, so this year is not shown1987: no citations, so this year is not shown1992: no citations, so this year is not shown1994–1997: no citations, so these years are not shown2000–2002: no citations, so these years are not shown2004: no citations, so this year is not shown2015: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 5,568 citing papers, 29.1% of this breakdownUnited States: 2,898 citing papers, 15.2% of this breakdownUnited Kingdom: 1,126 citing papers, 5.9% of this breakdownIndia: 860 citing papers, 4.5% of this breakdownHong Kong: 813 citing papers, 4.3% of this breakdownGermany: 680 citing papers, 3.6% of this breakdownCanada: 534 citing papers, 2.8% of this breakdownAustralia: 520 citing papers, 2.7% of this breakdownSouth Korea: 486 citing papers, 2.5% of this breakdownJapan: 364 citing papers, 1.9% of this breakdownNetherlands: 354 citing papers, 1.9% of this breakdownFrance: 349 citing papers, 1.8% of this breakdown
0%29.1%Other 23.8%

Fields

  • Computer Science45.4%
  • Medicine37.4%
  • Engineering7.2%
  • Neuroscience3.7%
  • Biochemistry, Genetics and Molecular Biology2.2%
  • Physics and Astronomy1.2%
  • Other2.9%

Topics

  • 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%
  • Other61.5%

Coauthors

All papers

Open in search
  1. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 cited by 3,297

  2. The Liver Tumor Segmentation Benchmark (LiTS)

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 and 9 more - Medical Image Analysis, Medical Image Anal. 2022 cited by 1,164

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Bram van Ginneken, Colin Jacobs - Medical Image Analysis, Medical Image Anal. 2017 cited by 1,332

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

    Authors: , , , , - ICLR 2021 cited by 1,241

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 and 179 more - Nature Communications 2022 cited by 340

  6. Any-point Trajectory Modeling for Policy Learning

    Authors: , , , , , , - Robotics: Science and Systems XX 2024 cited by 153

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

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2016 cited by 1,139

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

    Authors: , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 cited by 286

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

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 cited by 280

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

    Authors: , , , , , , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2019 cited by 407

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

    Authors: , , , - Lecture notes in computer science, MICCAI (8) 2022 cited by 148

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

    Authors: , , , , - NeuroImage 2017 cited by 791

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

    Authors: , , , , , , , - Medical Image Analysis, Medical Image Anal. 2018 cited by 334

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

    Authors: , - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 cited by 149

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

    Authors: , , - AAAI Conference on Artificial Intelligence 2022 cited by 155

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

    Authors: , , , , , , - Medical Image Analysis, Medical Image Anal. 2017 cited by 631

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

    Authors: , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2017 cited by 318

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

    Authors: , , , , , , , - Medical Image Analysis, Medical Image Anal. 2024 cited by 94

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

    Authors: , , , , , - Nature Machine Intelligence, Nat. Mach. Intell. 2022 cited by 227

  20. The Liver Tumor Segmentation Benchmark (LiTS)

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 and 9 more - CoRR 2019 cited by 360

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

    Authors: , , , , , , , , , , , , , , , , , , , , - npj Digital Medicine, npj Digit. Medicine 2021 cited by 272

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

    Authors: , , , , , - Medical Image Analysis, Medical Image Anal. 2016 cited by 512

  23. Learning With Privileged Multimodal Knowledge for Unimodal Segmentation

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 cited by 104

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

    Authors: , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 63