Medical image fusion: A survey of the state of the art
AP James, BV Dasarathy - Information fusion, 2014 - Elsevier
Medical image fusion is the process of registering and combining multiple images from
single or multiple imaging modalities to improve the imaging quality and reduce …
single or multiple imaging modalities to improve the imaging quality and reduce …
From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications
Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI
M Chupin, E Gérardin, R Cuingnet, C Boutet… - …, 2009 - Wiley Online Library
The hippocampus is among the first structures affected in Alzheimer's disease (AD).
Hippocampal magnetic resonance imaging volumetry is a potential biomarker for AD but is …
Hippocampal magnetic resonance imaging volumetry is a potential biomarker for AD but is …
[HTML][HTML] Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: method and validation
The segmentation from MRI of macroscopically ill-defined and highly variable structures,
such as the hippocampus (Hc) and the amygdala (Am), requires the use of specific …
such as the hippocampus (Hc) and the amygdala (Am), requires the use of specific …
The role of refactorings in API evolution
D Dig, R Johnson - 21st IEEE International Conference on …, 2005 - ieeexplore.ieee.org
Frameworks and libraries change their APIs. Migrating an application to the new API is
tedious and disrupts the development process. Although some tools and ideas have been …
tedious and disrupts the development process. Although some tools and ideas have been …
Fuzzy sets for image processing and understanding
I Bloch - Fuzzy sets and systems, 2015 - Elsevier
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to article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full …
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Computational anatomy for multi-organ analysis in medical imaging: A review
The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …
organ-, and disease-specific methods. Recently, the interest in the development of more …
Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients …
M Chupin, AR Mukuna-Bantumbakulu, D Hasboun… - Neuroimage, 2007 - Elsevier
We describe a new algorithm for the automated segmentation of the hippocampus (Hc) and
the amygdala (Am) in clinical Magnetic Resonance Imaging (MRI) scans. Based on …
the amygdala (Am) in clinical Magnetic Resonance Imaging (MRI) scans. Based on …
Multimodal medical image fusion techniques–a review
The main objective of image fusion for multimodal medical images is to retrieve valuable
information by combining multiple images obtained from various sources into a single image …
information by combining multiple images obtained from various sources into a single image …
Spatial and anatomical regularization of SVM: a general framework for neuroimaging data
R Cuingnet, JA Glaunès, M Chupin… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
This paper presents a framework to introduce spatial and anatomical priors in SVM for brain
image analysis based on regularization operators. A notion of proximity based on prior …
image analysis based on regularization operators. A notion of proximity based on prior …