Standout Papers

Tract-based spatial statistics: Voxelwise analysis of multi-subject di... 1999 2026 2008 2017 5.2k
  1. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data (2006)
    Stephen M. Smith, Mark Jenkinson et al. NeuroImage
  2. Nonrigid registration using free-form deformations: application to breast MR images (1999)
    Daniel Rueckert, Luke Sonoda et al. IEEE Transactions on Medical Imaging
  3. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation (2016)
    Konstantinos Kamnitsas, Christian Ledig et al. Medical Image Analysis
  4. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration (2009)
    Arno Klein, Jesper Andersson et al. NeuroImage
  5. Medical Image Computing and Computer-Assisted Intervention (2009)
    Gao Yang, David J. Hawkes et al. Research Explorer (The University of Manchester)
  6. Attention gated networks: Learning to leverage salient regions in medical images (2019)
    Jo Schlemper, Ozan Oktay et al. Medical Image Analysis
  7. A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction (2017)
    Jo Schlemper, José Caballero et al. IEEE Transactions on Medical Imaging
  8. Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy (2009)
    Paul Aljabar, Rolf A. Heckemann et al. NeuroImage
  9. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (2006)
    Rolf A. Heckemann, Joseph V. Hajnal et al. NeuroImage
  10. Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics (2007)
    Stephen M. Smith, Heidi Johansen‐Berg et al. Nature Protocols
  11. Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease (2018)
    Sarah Parisot, Sofia Ira Ktena et al. Medical Image Analysis
  12. Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation (2017)
    Ozan Oktay, Enzo Ferrante et al. IEEE Transactions on Medical Imaging
  13. Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction (2018)
    Chen Qin, Jo Schlemper et al. IEEE Transactions on Medical Imaging
  14. Self-supervised learning for medical image analysis using image context restoration (2019)
    Liang Chen, Paul Bentley et al. Medical Image Analysis
  15. End-to-end privacy preserving deep learning on multi-institutional medical imaging (2021)
    Georgios Kaissis, Alexander Ziller et al. Nature Machine Intelligence
  16. Evaluation and mitigation of the limitations of large language models in clinical decision-making (2024)
    Paul Hager, Friederike Jungmann et al. Nature Medicine

Immediate Impact

1 by Nobel laureates 19 from Science/Nature 110 standout
Sub-graph 1 of 18

Citing Papers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association
2024 Standout
38 intermediate papers

Works of Daniel Rueckert being referenced

Cardiac Rhythm Device Identification Using Neural Networks
2019
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
2018 Standout
and 34 more

Author Peers

Author Last Decade Papers Cites
Daniel Rueckert 18388 10346 5064 6327 478 35.9k
Ron Kikinis 13668 5329 3232 7057 331 32.6k
Dinggang Shen 18922 13777 4236 12267 1.2k 47.2k
James C. Gee 13312 4393 2990 8972 308 30.0k
Christos Davatzikos 11834 6433 1640 10431 583 31.3k
D. Louis Collins 12982 6325 2387 11154 489 34.2k
Sébastien Ourselin 9295 4267 1634 3566 727 24.2k
Ferenc A. Jólesz 20109 3535 3292 7119 432 42.2k
Max A. Viergever 15990 10955 1171 2183 524 31.3k
Guido Gerig 8129 4156 3325 5071 235 20.5k
Arthur W. Toga 18219 4087 5184 28732 755 66.2k

All Works

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2026