Reconstruction, Segmentation, and Analysis of Medical Images, 1st ed. 2017 First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers Image Processing, Computer Vision, Pattern Recognition, and Graphics Series
Coordonnateurs : Zuluaga Maria A., Bhatia Kanwal, Kainz Bernhard, Moghari Mehdi H., Pace Danielle F.
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.
Date de parution : 01-2017
Ouvrage de 174 p.
15.5x23.5 cm
Mots-clés :
Computer Science; Informatics; life and medical sciences; machine learning; modeling and simulation; reconstruction; segmentation; 3D cardiac MRI; applied computing; automatic segmentation; cardiac image segmentation; computing methodologies; image analysis; deep learning; image analysis; magnetic resonance imaging; motion; random forest; registration; super-resolution reconstruction; tagged MRI; tissue maps; total variation
