About: Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation
Creator	Li, Min Martinez, Francisco Yu, Xiang Dong, Zhengchao Gorriz, Juan Hu, Hua Jiménez-Mesa, Carmen Ramirez, Javier Wang, Shui-Hua Yao, Xujing Zhang, Yu-Dong Zhou, Qinghua Zhang, Yu -Dong
Source	Elsevier; Medline; PMC
abstract	Multimodal fusion in neuroimaging combines data from multiple imaging modalities to overcome the fundamental limitations of individual modalities. Neuroimaging fusion can achieve higher temporal and spatial resolution, enhance contrast, correct imaging distortions, and bridge physiological and cognitive information. In this study, we analyzed over 450 references from PubMed, Google Scholar, IEEE, ScienceDirect, Web of Science, and various sources published from 1978 to 2020. We provide a review that encompasses (1) an overview of current challenges in multimodal fusion (2) the current medical applications of fusion for specific neurological diseases, (3) strengths and limitations of available imaging modalities, (4) fundamental fusion rules, (5) fusion quality assessment methods, and (6) the applications of fusion for atlas-based segmentation and quantification. Overall, multimodal fusion shows significant benefits in clinical diagnosis and neuroscience research. Widespread education and further research amongst engineers, researchers and clinicians will benefit the field of multimodal neuroimaging.
has issue date	2020-07-17(xsd:dateTime)
bibo:doi	10.1016/j.inffus.2020.07.006
bibo:pmid	32834795
has license	no-cc
sha1sum (hex)	fe9b8f2d3416cdaa401c456af4ab60d2e5b63ae9
schema:url	https://doi.org/10.1016/j.inffus.2020.07.006
resource representing a document's title	Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation
has PubMed Central identifier	PMC7366126
has PubMed identifier	32834795
schema:publication	Inf Fusion
resource representing a document's body	covid:fe9b8f2d3416cdaa401c456af4ab60d2e5b63ae9#body_text
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