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Nikos Paragios

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Papers (10)

  1. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge cs.CV · 2018 · author #257
  2. Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration cs.CV · 2018 · author #4
  3. Linear and Deformable Image Registration with 3D Convolutional Neural Networks cs.CV · 2018 · author #7
  4. Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance cs.CV · 2018 · author #5
  5. Continuous Relaxation of MAP Inference: A Nonconvex Perspective cs.CV · 2018 · author #2
  6. Newton-type Methods for Inference in Higher-Order Markov Random Fields cs.CV · 2017 · author #3
  7. Deformable Registration through Learning of Context-Specific Metric Aggregation cs.CV · 2017 · author #4
  8. EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation q-bio.QM · 2017 · author #5
  9. Slice-to-volume medical image registration: a survey cs.CV · 2017 · author #2
  10. Alternating Direction Graph Matching cs.CV · 2016 · author #2

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