Graph matching approach and generalized median graph for automatic labeling of cortical sulci with parallel and distributed algorithms

Felouat, Hichem; Oukid-Khouas, Saliha

doi:10.1016/j.cogsys.2018.08.008

Cited by 4 publications

(2 citation statements)

References 62 publications

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“…The main task of this method is to extract advanced information about music content from the original audio signal, so as to predict various music labels 12 . The main advantage of CNN is to extract the local features of music and extract more advanced features layer by layer; The main advantage of cyclic neural network is that it can process music sequences of different lengths and save the sequence information in the sequence.…”

Section: Automatic Annotation Of Multimodal Musicmentioning

confidence: 99%

Construction of multimodal music automatic annotation model based on neural network algorithm

Miao,

Cheng

2023

Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023)

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Section: Automatic Annotation Of Multimodal Musicmentioning

confidence: 99%

Construction of multimodal music automatic annotation model based on neural network algorithm

Miao,

Cheng

2023

Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023)

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“…RS-fMRI centers on the spontaneous fluctuations in blood oxygen level-dependent (BOLD) signals observed during a resting state, devoid of any specific task execution, as opposed to T-fMRI, which measures brain activity by comparing BOLD signals during specific tasks to baseline periods. 22 Rs-fMRI can identify regions of the brain that exhibit synchronous, low-frequency oscillations, generally falling below 0.1 Hz. 23 These oscillations are hypothesized to indicate functional connectivity between distinct brain areas.…”

Section: Introductionmentioning

confidence: 99%

Systematic Review Between Resting-State fMRI and Task fMRI in Planning for Brain Tumour Surgery

Abu Mhanna,

Omar,

Md Radzi

et al. 2024

JMDH

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As an alternative to task-based functional magnetic resonance imaging (T-fMRI), resting-state functional magnetic resonance imaging (Rs-fMRI) is suggested for preoperative mapping of patients with brain tumours, with an emphasis on treatment guidance and neurodegeneration prediction. A systematic review was conducted of 18 recent studies involving 1035 patients with brain tumours and Rs-fMRI protocols. This was accomplished by searching the electronic databases PubMed, Scopus, and Web of Science. For clinical benefit, we compared Rs-fMRI to standard T-fMRI and intraoperative direct cortical stimulation (DCS). The results of Rs-fMRI and T-fMRI were compared and their correlation with intraoperative DCS results was examined through a systematic review. Our exhaustive investigation demonstrated that Rs-fMRI is a dependable and sensitive preoperative mapping technique that detects neural networks in the brain with precision and identifies crucial functional regions in agreement with intraoperative DCS. Rs-fMRI comes in handy, especially in situations where T-fMRI proves to be difficult because of patient-specific factors. Additionally, our exhaustive investigation demonstrated that Rs-fMRI is a valuable tool in the preoperative screening and evaluation of brain tumours. Furthermore, its capability to assess brain function, forecast surgical results, and enhance decision-making may render it applicable in the clinical management of brain tumours.

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Design and Optimization of Improved Recognition Algorithm for Piano Music Based on BP Neural Network

Chen,

Liu

2023

Learning and Analytics in Intelligent Systems

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Graph matching approach and generalized median graph for automatic labeling of cortical sulci with parallel and distributed algorithms

Cited by 4 publications

References 62 publications

Construction of multimodal music automatic annotation model based on neural network algorithm

Construction of multimodal music automatic annotation model based on neural network algorithm

Systematic Review Between Resting-State fMRI and Task fMRI in Planning for Brain Tumour Surgery

Design and Optimization of Improved Recognition Algorithm for Piano Music Based on BP Neural Network

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