Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2012, Nagoya, Japan, September 22, 2013, Proceedings

This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on analysis, methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience and clinical applications.

List of contents

Analysis.- Methodologies.- Algorithms.- Software systems.- Validation approaches.- Benchmark datasets.- Neuroscience.- Clinical applications.

Summary

This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on analysis, methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience and clinical applications.

Product details

• Assisted by: Heng Huang (Editor), Tianmin Liu (Editor), Tianming Liu (Editor), Dinggang Shen (Editor), Li Shen (Editor), Carl-Fredrik Westin (Editor), Pew-Thian Yap (Editor), Pew-Thian Yap et al (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.09.2013
• EAN: 9783319021256
• ISBN: 978-3-31-902125-6
• No. of pages: 260
• Dimensions: 155 mm x 236 mm x 18 mm
• Weight: 417 g
• Illustrations: XII, 260 p. 110 illus.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software