default search action
Information Fusion, Volume 19
Volume 19, September 2014
- Belur V. Dasarathy:
A special issue on information fusion in medical imaging. 1
- Alex Pappachen James, Sheshadri Thiruvenkadam, Joseph Suresh Paul, Michael Braun:
Special issue on medical image computing and systems. 2-3
- Alex Pappachen James, Belur V. Dasarathy:
Medical image fusion: A survey of the state of the art. 4-19 - Lei Wang, Bin Li, Lianfang Tian:
Multi-modal medical image fusion using the inter-scale and intra-scale dependencies between image shift-invariant shearlet coefficients. 20-28 - Lei Wang, Bin Li, Lianfang Tian:
EGGDD: An explicit dependency model for multi-modal medical image fusion in shift-invariant shearlet transform domain. 29-37 - Zhiping Xu:
Medical image fusion using multi-level local extrema. 38-48 - Rajiv Singh, Ashish Khare:
Fusion of multimodal medical images using Daubechies complex wavelet transform - A multiresolution approach. 49-60 - Nasr Makni, Nacim Betrouni, Olivier Colot:
Introducing spatial neighbourhood in Evidential C-Means for segmentation of multi-source images: Application to prostate multi-parametric MRI. 61-72 - Joao Miguel Pires Dias, Carlos Manta Oliveira, Luís Alberto da Silva Cruz:
Retinal image quality assessment using generic image quality indicators. 73-90 - Mandeep Singh, Sukhwinder Singh, Savita Gupta:
An information fusion based method for liver classification using texture analysis of ultrasound images. 91-96 - Daniel Schwarz, Tomás Kaspárek:
Brain morphometry of MR images for automated classification of first-episode schizophrenia. 97-102 - Tianjie Li, Yuanyuan Wang, Cai Chang, Na Hu, Yongping Zheng:
Color-appearance-model based fusion of gray and pseudo-color images for medical applications. 103-114
- Belur V. Dasarathy:
Finding FUN in FUsioN - LVIII. 115
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.