Convolutional neural network-based multimodal image fusion via similarity learning in the shearlet domain
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Convolutional neural network-based multimodal image fusion via similarity learning in the shearlet domain
Authors
Keywords
Convolutional neural networks, Shearlet transform, Multimodal medical image fusion, Transfer learning, Similarity metric learning
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-03-24
DOI
10.1007/s00521-018-3441-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Image Fusion With Contextual Statistical Similarity and Nonsubsampled Shearlet Transform
- (2017) Xiaoqing Luo et al. IEEE SENSORS JOURNAL
- Image Fusion Incorporating Parameter Estimation Optimized Gaussian Mixture Model and Fuzzy Weighted Evaluation System: A Case Study in Time-Series Plantar Pressure Data Set
- (2017) Dan Wang et al. IEEE SENSORS JOURNAL
- Seamless Lesion Insertion for Data Augmentation in CAD Training
- (2017) Aria Pezeshk et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Pixel-level image fusion: A survey of the state of the art
- (2017) Shutao Li et al. Information Fusion
- Multi-focus image fusion with a deep convolutional neural network
- (2017) Yu Liu et al. Information Fusion
- A survey of deep neural network architectures and their applications
- (2017) Weibo Liu et al. NEUROCOMPUTING
- Convolutional Neural Network Based Clustering and Manifold Learning Method for Diabetic Plantar Pressure Imaging Dataset
- (2017) Zairan Li et al. Journal of Medical Imaging and Health Informatics
- Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
- (2016) Hayit Greenspan et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
- (2016) Korsuk Sirinukunwattana et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A review of remote sensing image fusion methods
- (2016) Hassan Ghassemian Information Fusion
- An overview of multi-modal medical image fusion
- (2016) Jiao Du et al. NEUROCOMPUTING
- Deep learning for visual understanding: A review
- (2016) Yanming Guo et al. NEUROCOMPUTING
- Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network
- (2015) Sneha Singh et al. Biomedical Signal Processing and Control
- Discriminative Clustering and Feature Selection for Brain MRI Segmentation
- (2015) Youyong Kong et al. IEEE SIGNAL PROCESSING LETTERS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- No-reference image quality assessment with shearlet transform and deep neural networks
- (2015) Yuming Li et al. NEUROCOMPUTING
- Medical image fusion: A survey of the state of the art
- (2014) Alex Pappachen James et al. Information Fusion
- EGGDD: An explicit dependency model for multi-modal medical image fusion in shift-invariant shearlet transform domain
- (2013) Lei Wang et al. Information Fusion
- Image fusion by pulse couple neural network with shearlet
- (2012) Peng Geng OPTICAL ENGINEERING
- Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study
- (2011) Z. Liu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A Survey of Decision Fusion and Feature Fusion Strategies for Pattern Classification
- (2010) UttharaGosa Mangai et al. IETE TECHNICAL REVIEW
- Sparse directional image representations using the discrete shearlet transform
- (2007) Glenn Easley et al. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
- A new automated quality assessment algorithm for image fusion
- (2007) Yin Chen et al. IMAGE AND VISION COMPUTING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation