Daiki Nakamura,Shizuo Kaji,Ryota Kanai et al.
Daiki Nakamura et al.
Although the anatomical arrangement of brain regions and the functional structures within them are similar across individuals, the representation of neural information, such as recorded brain activity, varies among individuals owing to vari...
Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique [0.03%]
结合深度学习模型和权重选择技术的增强型脑肿瘤诊断方法
Karim Gasmi,Najib Ben Aoun,Khalaf Alsalem et al.
Karim Gasmi et al.
Brain tumor classification is a critical task in medical imaging, as accurate diagnosis directly influences treatment planning and patient outcomes. Traditional methods often fall short in achieving the required precision due to the complex...
Stavros I Dimitriadis,Vignayanandam Ravindernath Muddapu,Roberto Guidotti
Stavros I Dimitriadis
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data [0.03%]
基于Python的系统神经科学计算（SyNCoPy）：一种对大规模电生理数据进行分析的Python包
Gregor Mönke,Tim Schäfer,Mohsen Parto-Dezfouli et al.
Gregor Mönke et al.
We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes signal processing analyses across time (e.g...
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks [0.03%]
通过优化物联网和人工智能融合的先进神经网络增强老年人和残疾人的人体活动识别能力
R Deeptha,K Ramkumar,Sri Venkateswaran et al.
R Deeptha et al.
Elderly and individuals with disabilities can greatly benefit from human activity recognition (HAR) systems, which have recently advanced significantly due to the integration of the Internet of Things (IoT) and artificial intelligence (AI)....
Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations [0.03%]
基于人工智能的脑年龄预测在儿科人群中的神经发育成熟定量评估：全面系统文献综述
Eric Dragendorf,Eva Bültmann,Dominik Wolff
Eric Dragendorf
Introduction: Over the past few decades, numerous researchers have explored the application of machine learning for assessing children's neurological development. Developmental changes in the brain could be utilized to ga...
Spectral graph convolutional neural network for Alzheimer's disease diagnosis and multi-disease categorization from functional brain changes in magnetic resonance images [0.03%]
基于磁共振图像功能脑改变的阿尔茨海默病诊断和多疾病分类的谱图卷积神经网络
Hadeel Alharbi,Roben A Juanatas,Abdullah Al Hejaili et al.
Hadeel Alharbi et al.
Alzheimer's disease (AD) is a progressive neurological disorder characterized by the gradual deterioration of cognitive functions, leading to dementia and significantly impacting the quality of life for millions of people worldwide. Early a...
Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch [0.03%]
基于PymoNNto和PymoNNtorch的脉冲神经网络仿真加速
Hans Ekkehard Plesser
Hans Ekkehard Plesser
Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage [0.03%]
基于模糊C均值聚类算法的颅内出血患者CT图像分割
Lintao Zhang,Dewen Song,Huiying Qiu et al.
Lintao Zhang et al.
In recent years, intracerebral hemorrhage (ICH) has garnered significant attention as a severe cerebrovascular disorder. To enhance the accuracy of ICH detection and segmentation, this study proposed an improved fuzzy C-means (FCM) algorith...
Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning [0.03%]
基于本体和机器学习的决策支持系统在人群筛查中通过神经心理测试早期发现轻度认知障碍
Alba Gómez-Valadés,Rafael Martínez-Tomás,Sara García-Herranz et al.
Alba Gómez-Valadés et al.
Machine learning (ML) methodologies for detecting Mild Cognitive Impairment (MCI) are progressively gaining prevalence to manage the vast volume of processed information. Nevertheless, the black-box nature of ML algorithms and the heterogen...