Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection [0.03%]
基于深度CNN ResNet-18模型、注意力和迁移学习的老年痴呆症检测方法
Sofia Biju Francis,Jai Prakash Verma
Sofia Biju Francis
Introduction: The prevalence of age-related brain issues has risen in developed countries because of changes in lifestyle. Alzheimer's disease leads to a rapid and irreversible decline in cognitive abilities by damaging m...
Editorial: Protecting privacy in neuroimaging analysis: balancing data sharing and privacy preservation [0.03%]
编辑来稿：在神经影像分析中保护隐私：平衡数据共享与隐私保护
Rashid Mehmood,Mariana Lazar,Xiaohui Liang et al.
Rashid Mehmood et al.
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint [0.03%]
急性缺血性卒中影像和临床数据多中心储存库(MAGIC):立题依据与建设构想
Hakim Baazaoui,Stefan T Engelter,Henrik Gensicke et al.
Hakim Baazaoui et al.
Purpose: The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository is a collaboration established in 2024 by seven stroke centres in Europe. MAGIC consolidates clinical and radiological data from ...
Leveraging deep learning for robust EEG analysis in mental health monitoring [0.03%]
利用深度学习进行心理健康监测中鲁棒的EEG分析
Zixiang Liu,Juan Zhao
Zixiang Liu
Introduction: Mental health monitoring utilizing EEG analysis has garnered notable interest due to the non-invasive characteristics and rich temporal information encoded in EEG signals, which are indicative of cognitive a...
Editorial: Emerging trends in large-scale data analysis for neuroscience research [0.03%]
组稿论文：神经科学中的大数据分析的新动向和发展趋势
Farouk S Nathoo,Olave E Krigolson,Fang Wang
Farouk S Nathoo
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks [0.03%]
基于ROI的短期记忆任务fMRI数据的判别分析和神经网络分类方法研究
Magdalena Fafrowicz,Marcin Tutajewski,Igor Sieradzki et al.
Magdalena Fafrowicz et al.
Understanding brain function relies on identifying spatiotemporal patterns in brain activity. In recent years, machine learning methods have been widely used to detect connections between regions of interest (ROIs) involved in cognitive fun...
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction [0.03%]
基于深度学习的高保真脑电重建模型hvEEGNet研究
Giulia Cisotto,Alberto Zancanaro,Italo F Zoppis et al.
Giulia Cisotto et al.
Introduction: Modeling multi-channel electroencephalographic (EEG) time-series is a challenging tasks, even for the most recent deep learning approaches. Particularly, in this work, we targeted our efforts to the high-fid...
Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing [0.03%]
关于人工智能治理规范和神经信息学的隐私和数据共享观点协调问题
Roba Alsaigh,Rashid Mehmood,Iyad Katib et al.
Roba Alsaigh et al.
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions [0.03%]
编辑来稿：神经科学中大规模计算挑战的研究进展与未来方向
Tam V Nguyen,Min Wang,Domenico Maisto
Tam V Nguyen
Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques [0.03%]
用机器学习技术改进自闭症谱系障碍的诊断editorial
Mahmoud Elbattah,Osman Ali Sadek Ibrahim,Gilles Dequen
Mahmoud Elbattah