Machine Learning Meets Medical Imaging First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers /

Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-a...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bhatia, Kanwal K. (Editor), Lombaert, Herve (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Lecture Notes in Computer Science, 9487
Subjects:
Online Access:Full Text via HEAL-Link
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.