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Nicholas Ayache

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Papers (12)

  1. Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks eess.IV · 2019 · author #5
  2. Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank cs.CV · 2019 · author #5
  3. Learning a Probabilistic Model for Diffeomorphic Registration cs.CV · 2018 · author #4
  4. Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow cs.CV · 2018 · author #3
  5. Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease stat.ME · 2018 · author #2
  6. 3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context cs.CV · 2018 · author #4
  7. 3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation cs.CV · 2018 · author #4
  8. Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training cs.CV · 2018 · author #5
  9. Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration cs.CV · 2018 · author #4
  10. 3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation cs.CV · 2018 · author #4
  11. Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance cs.CV · 2016 · author #5
  12. Radiotherapy planning for glioblastoma based on a tumor growth model: Improving target volume delineation physics.med-ph · 2013 · author #6

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