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This book constitutes the revised selected papers of the
First International Workshop on Machine Learning in Medical Imaging, MLMMI
2015, held in July 2015 in Lille, France, in conjunction with the 32nd
International Conference on Machine Learning, ICML 2015.
The 10 papers presented in this volume were carefully
reviewed and selected for inclusion in the book. The papers communicate the
specific needs and nuances of medical imaging to the machine learning community
while exposing the medical imaging community to current trends in machine
learning.
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.
