Nassir Navab

Active 1971–2026

1,551
Papers
53,557
Citations
100
h-index
763
i10-index

Citations

Citations per year for Nassir Navab1884: 1 citations1963: 3 citations1974: 1 citations1975: 1 citations1976: 1 citations1977: 1 citations1978: 5 citations1981: 3 citations1983: 1 citations1984: 1 citations1985: 1 citations1986: 10 citations1988: 2 citations1989: 2 citations1990: 8 citations1991: 2 citations1992: 10 citations1993: 20 citations1994: 13 citations1995: 16 citations1996: 21 citations1997: 21 citations1998: 27 citations1999: 23 citations2000: 44 citations2001: 50 citations2002: 65 citations2003: 78 citations2004: 82 citations2005: 78 citations2006: 93 citations2007: 188 citations2008: 248 citations2009: 333 citations2010: 354 citations2011: 591 citations2012: 634 citations2013: 736 citations2014: 865 citations2015: 937 citations2016: 1,292 citations2017: 1,425 citations2018: 1,812 citations2019: 2,719 citations2020: 3,434 citations2021: 3,889 citations2022: 3,442 citations2023: 3,473 citations2024: 3,933 citations2025: 3,101 citations2026: 743 citations1885–1962: no citations, so these years are not shown1964–1973: 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 shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 6,538 citing papers, 18.1% of this breakdownUnited States: 6,264 citing papers, 17.3% of this breakdownGermany: 3,714 citing papers, 10.3% of this breakdownUnited Kingdom: 2,336 citing papers, 6.4% of this breakdownFrance: 1,338 citing papers, 3.7% of this breakdownCanada: 1,289 citing papers, 3.6% of this breakdownItaly: 1,032 citing papers, 2.8% of this breakdownJapan: 1,017 citing papers, 2.8% of this breakdownAustralia: 921 citing papers, 2.5% of this breakdownIndia: 897 citing papers, 2.5% of this breakdownSouth Korea: 842 citing papers, 2.3% of this breakdownSwitzerland: 830 citing papers, 2.3% of this breakdown
0%18.1%Other 25.4%

Fields

  • Computer Science44.8%
  • Medicine23.9%
  • Engineering20.6%
  • Neuroscience2.4%
  • Biochemistry, Genetics and Molecular Biology2.3%
  • Physics and Astronomy1.4%
  • Other4.6%

Topics

  • Robotics and Sensor-Based Localization5.1%
  • AI in cancer detection4.3%
  • Medical Image Segmentation Techniques3.7%
  • Radiomics and Machine Learning in Medical Imaging3.4%
  • Advanced Vision and Imaging3.4%
  • Advanced Neural Network Applications3.3%
  • Other76.8%

Coauthors

All papers

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  1. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5 - 9, 2015, Proceedings, Part III

    Authors: , , , - Lecture notes in computer science, MICCAI (3) 2015 cited by 2,264

  2. 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

  3. Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

    Authors: , , , , , , - Lecture notes in computer science, ACCV (1) 2012 cited by 1,195

  4. Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

    Authors: , , , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2016 cited by 814

  5. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

    Authors: , , - Fourth International Conference on 3D Vision (3DV) 2016 cited by 1,063

  6. Model globally, match locally: Efficient and robust 3D object recognition

    Authors: , , , - IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 cited by 982

  7. Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks

    Authors: , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 cited by 523

  8. Surgical data science – from concepts toward clinical translation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Minu D. Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Justin Collins, Ines Gockel, Jan Goedeke, Daniel A. Hashimoto, Luc Joyeux, Kyle Lam, Daniel Leff, Amin Madani, Hani J. Marcus, Ozanan R. Meireles, Alexander Seitel, Doğu Teber, Frank Ückert, Beat P. Müller‐Stich, Pierre Jannin, Stefanie Speidel - 2022 cited by 332

  9. ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation

    Authors: , , , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 cited by 175

  10. CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction

    Authors: , , , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 753

  11. Surgical data science for next-generation interventions

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Nature Biomedical Engineering 2017 cited by 534

  12. BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning

    Authors: , , , , - arXiv (Cornell University), CoRR 2019 cited by 258

  13. Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes

    Authors: , , , , , , - International Conference on Computer Vision, ICCV 2011 cited by 648

  14. A lightweight neural network with multiscale feature enhancement for liver CT segmentation

    Authors: , , , , , , , , , , , , , , , , - Scientific Reports 2022 cited by 119

  15. Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images

    Authors: , , , - Lecture notes in computer science, BrainLes@MICCAI (1) 2018 cited by 438

  16. ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks

    Authors: , , , , , , - Biomedical Optics Express 2017 cited by 607

  17. SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation

    Authors: , , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 cited by 151

  18. Gradient Response Maps for Real-Time Detection of Textureless Objects

    Authors: , , , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2011 cited by 619

  19. A BaSiC tool for background and shading correction of optical microscopy images

    Authors: , , , , , , - Nature Communications 2017 cited by 401

  20. Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images

    Authors: , , - Lecture notes in computer science, ECCV (16) 2018 cited by 191

  21. RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance

    Authors: , , , , - arXiv (Cornell University), CoRR 2023 cited by 49

  22. Differentiable Graph Module (DGM) for Graph Convolutional Networks

    Authors: , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2022 cited by 126

  23. Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study

    Authors: , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2016 cited by 218

  24. A Review of Augmented Reality in Robotic-Assisted Surgery

    Authors: , , , , - IEEE Transactions on Medical Robotics and Bionics 2019 cited by 158