Standout Papers

Medical Image Computing and Computer-Assisted Intervention -- ... 2009 2026 2014 2020 1.6k
  1. Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 (2015)
    Nassir Navab, Joachim Hornegger et al. Lecture notes in computer science
  2. Tissue Classification as a Potential Approach for Attenuation Correction in Whole-Body PET/MRI: Evaluation with PET/CT Data (2009)
    Axel Martínez-Möller, Michael Souvatzoglou et al. Journal of Nuclear Medicine
  3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 (2018)
    Tianzi Jiang, Nassir Navab et al. Lecture notes in computer science
  4. ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks (2017)
    Abhijit Guha Roy, Sailesh Conjeti et al. Biomedical Optics Express
  5. Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images (2016)
    Abhishek Vahadane, Tingying Peng et al. IEEE Transactions on Medical Imaging
  6. Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 (2015)
    Nassir Navab, Joachim Hornegger et al. Lecture notes in computer science
  7. AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images (2016)
    Shadi Albarqouni, Christoph Baur et al. IEEE Transactions on Medical Imaging
  8. Recalibrating Fully Convolutional Networks With Spatial and Channel “Squeeze and Excitation” Blocks (2018)
    Abhijit Guha Roy, Nassir Navab et al. IEEE Transactions on Medical Imaging
  9. Gradient Response Maps for Real-Time Detection of Textureless Objects (2011)
    Stefan Hinterstoißer, Cédric Cagniart et al. IEEE Transactions on Pattern Analysis and Machine Intelligence

Immediate Impact

21 from Science/Nature 100 standout
Sub-graph 1 of 21

Citing Papers

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
2025 Standout
Hyperrectangle Embedding for Debiased 3D Scene Graph Prediction From RGB Sequences
2025 Standout
6 intermediate papers

Works of Nassir Navab being referenced

Learning 3D Semantic Scene Graphs with Instance Embeddings
2022
SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences
2021
and 3 more

Author Peers

Author Last Decade Papers Cites
Nassir Navab 6958 5845 5220 690 17.8k
Nicholas Ayache 9026 7257 3880 384 19.2k
Guang‐Zhong Yang 3819 3571 8630 617 21.1k
Chris Taylor 8835 2763 2488 511 19.6k
Max A. Viergever 10955 15990 5805 524 31.3k
Pheng‐Ann Heng 8188 5842 2386 402 17.1k
Sébastien Ourselin 4267 9295 4144 727 24.2k
Russell H. Taylor 2544 2394 6059 394 11.5k
Ge Wang 3446 14907 12446 884 25.2k
Paul Suetens 4747 6168 3733 341 14.9k
Daniel Rueckert 10346 18388 4244 478 35.9k

All Works

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2026