Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation
Top Cited Papers
- 19 January 2017
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- U-Net: Convolutional Networks for Biomedical Image SegmentationPublished by Springer Science and Business Media LLC ,2015
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine TranslationPublished by Association for Computational Linguistics (ACL) ,2014
- Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Hybrid segmentation of left ventricle in cardiac MRI using gaussian-mixture model and region restricted dynamic programmingMagnetic Resonance Imaging, 2013
- Preterm Heart in Adult LifeCirculation, 2013
- A review of segmentation methods in short axis cardiac MR imagesMedical Image Analysis, 2011
- An Image-Based Comprehensive Approach for Automatic Segmentation of Left Ventricle from Cardiac Short Axis Cine MR ImagesJournal of Digital Imaging, 2010
- Reducing the Dimensionality of Data with Neural NetworksScience, 2006
- Long Short-Term MemoryNeural Computation, 1997
- Snakes: Active contour modelsInternational Journal of Computer Vision, 1988