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Reconstruction, Segmentation, and Analysis of Medical Images

Reconstruction, Segmentation, and Analysis of Medical Images

By Maria A. Zuluaga, Kanwal Bhatia, Bernhard Kainz, Mehdi H. Moghari & Danielle F. Pace Computers & Internet 18/01/2017

This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016, and the First International Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016.

The 17 revised regular papers presented in this book were carefully reviewed and selected from a total of 21 submissions. The papers cover following topics: Registration; Reconstruction; Deep learning for heart segmentation; Discrete optimization and probabilistic intensity modeling; Atlas-based strategies; Random forests.

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