Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.031
Abstract: Abstract Segmentation of multimodal brain tissues from 3D medical images is of great significance for brain diagnosis. It is required to create an automated and accurate segmentation based on deep-learning network due to the manual… read more here.
Keywords: multimodal brain; segmentation; multi pathway; segmentation multimodal ... See more keywords
Multimodal brain imaging with magnetoencephalography: A method for measuring blood pressure and cardiorespiratory oscillations
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DOI: 10.1038/s41598-017-00293-7
Abstract: Studies with magnetoencephalography (MEG) are still quite rarely combined simultaneously with methods that can provide a metabolic dimension to MEG investigations. In addition, continuous blood pressure measurements which comply with MEG compatibility requirements are lacking.… read more here.
Keywords: multimodal brain; cardiorespiratory; blood; blood pressure ... See more keywords
MMI-Fuse: Multimodal Brain Image Fusion With Multiattention Module
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163260
Abstract: Medical imaging plays a pivotal role in the clinical diagnosis of brain disease. There are many imaging methods to detect the state of tissues in the brain. While these imaging methods have advantages, they also… read more here.
Keywords: fusion; brain image; multimodal brain; image fusion ... See more keywords
Multimodal Brain Connectomics-Based Prediction of Parkinson’s Disease Using Graph Attention Networks
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.741489
Abstract: Background A multimodal connectomic analysis using diffusion and functional MRI can provide complementary information on the structure–function network dynamics involved in complex neurodegenerative network disorders such as Parkinson’s disease (PD). Deep learning-based graph neural network… read more here.
Keywords: connectomics; multimodal brain; attention; network ... See more keywords