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Machine Learning Meets Medical Imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers 1st ed. 2015 [Minkštas viršelis]

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  • Formatas: Paperback / softback, 105 pages, aukštis x plotis: 235x155 mm, weight: 1883 g, 31 Illustrations, color; X, 105 p. 31 illus. in color., 1 Paperback / softback
  • Serija: Image Processing, Computer Vision, Pattern Recognition, and Graphics 9487
  • Išleidimo metai: 30-Dec-2015
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3319279289
  • ISBN-13: 9783319279282
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 105 pages, aukštis x plotis: 235x155 mm, weight: 1883 g, 31 Illustrations, color; X, 105 p. 31 illus. in color., 1 Paperback / softback
  • Serija: Image Processing, Computer Vision, Pattern Recognition, and Graphics 9487
  • Išleidimo metai: 30-Dec-2015
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3319279289
  • ISBN-13: 9783319279282
Kitos knygos pagal šią temą:
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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.





 
Motion
Retrospective Motion Correction of Magnitude-Input MR Images
3(10)
Alexander Loktyushin
Christian Schuler
Klaus Scheffler
Bernhard Scholkopf
Automatic Brain Localization in Fetal MRI Using Superpixel Graphs
13(12)
Amir Alansary
Matthew Lee
Kevin Keraudren
Bernhard Kainz
Christina Malamateniou
Mary Rutherford
Joseph V. Hajnal
Ben Glocker
Daniel Rueckert
Brain
Learning Deep Temporal Representations for fMRI Brain Decoding
25(10)
Orhan Firat
Emre Aksan
Like Oztekin
Fatos T. Yarman Vural
Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution
35(10)
Marco Lorenzi
Gabriel Ziegler
Daniel C. Alexander
Sebastien Ourselin
Improving MRI Brain Image Classification with Anatomical Regional Kernels
45(12)
Jonathan Young
Alex Mendelson
M. Jorge Cardoso
Marc Modat
John Ashburner
Sebastien Ourselin
Computer Aided Diagnosis
A Graph Based Classification Method for Multiple Sclerosis Clinical Forms Using Support Vector Machine
57(8)
Claudio Stamile
Gabriel Kocevar
Salem Hannoun
Francoise Durand-Dubief
Dominique Sappey-Marinier
Classification of Alzheimer's Disease Using Discriminant Manifolds of Hippocampus Shapes
65(9)
Mahsa Shakeri
Herve Lombaert
Samuel Kadoury
Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR Imaging Databases
74(11)
Rahaf Aljundi
Jerome Lehaire
Fabrice Prost-Boucle
Olivier Rouviere
Carole Lartizien
Segmentation
Feature-Space Transformation Improves Supervised Segmentation Across Scanners
85(9)
Annegreet van Opbroek
Hakim C. Achterberg
Marleen de Bruijne
Discriminative Dimensionality Reduction for Patch-Based Label Fusion
94(11)
Gerard Sanroma
Oualid M. Benkarim
Gemma Piella
Guorong Wu
Xiaofeng Zhu
Dinggang Shen
Miguel Angel Gonzalez Ballester
Author Index 105