Machine Learning Meets Medical Imaging [E-Book] : First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers / edited by Kanwal K. Bhatia, Herve Lombaert.
Bhatia, Kanwal K. (editor)
Lombaert, Herve. (editor)
1st ed. 2015.
Cham : Springer, 2015
X, 105 p. 31 illus. in color. online resource.
englisch
9783319279299
10.1007/978-3-319-27929-9
Lecture notes in computer science ; 9487
Full Text
Table of Contents:
  • Retrospective motion correction of magnitude-input MR images
  • Automatic Brain Localization in Fetal MRI Using Superpixel Graphs
  • Learning Deep Temporal Representations for fMRI Brain Decoding
  • Modelling Non-Stationary and Non-Separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution
  • Improving MRI brain image classification with anatomical regional kernels
  • A Graph Based Classification Method for Multiple Sclerosis Clinical Form Using Support Vector Machine
  • Classification of Alzheimer’s Disease using Discriminant Manifolds of Hippocampus Shapes
  • Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR imaging databases.