Instance-Aware Pseudo-Labeling and Class-Focused Contrastive Learning for Weakly Supervised Domain Adaptive Segmentation of Electron Microscopy [0.03%]
实例感知伪标签和类聚焦对比学习在电子显微镜弱监督领域自适应分割中的应用
Shan Xiong,Jiabao Chen,Ye Wang et al.
Shan Xiong et al.
Annotation-efficient segmentation of the numerous mitochondria instances from various electron microscopy (EM) images is highly valuable for biological and neuroscience research. Although unsupervised domain adaptation (UDA) methods can hel...
Fractional-Order Spiking Bayesian Neural Model for Cognitive Computations [0.03%]
分数阶脉冲Bayesian神经模型在认知计算中的应用研究
Vikas Arya,Daya Krishan Lobiyal
Vikas Arya
Cognition under uncertainty can be formalized through Bayesian inference, but biologically plausible neural implementations remain a challenge. This study develops a Bayesian neural model for lifespan prediction that integrates fractional-o...
Cross-atlas Identification of Narrative Hubs via Multi-embedding Graph Models in fMRI Data [0.03%]
基于fMRI数据的多嵌入图模型的跨图谱叙事枢纽识别方法研究
Mohammad Amin Saket,Mansooreh Pakravan
Mohammad Amin Saket
One of the main objectives of cognitive neuroscience is to investigate brain processes that underlie narrative comprehension. Furthermore, earlier studies that used naturalistic functional magnetic resonance imaging (fMRI) datasets, like Na...
Diagnostic Classification of Autism Spectrum Disorder in the Frequency Domain Using Resting-State fMRI [0.03%]
利用静息态功能磁共振成像的频域诊断自闭症谱系障碍
Hossein Haghighat
Hossein Haghighat
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with problems in social interactions, verbal and non-verbal communication, repetitive behaviors, and limited interests in a person. Considering the challenges in diagnosing ASD...
Template-Based Label Propagation for Mouse Brain MRI Skull Stripping [0.03%]
基于模板的标签传播去除非人脑MRI颅骨区区域算法研究
Rui Gong,Andrii Gegliuk,Daria Sharapova et al.
Rui Gong et al.
Accurate skull stripping is an essential preprocessing step in mouse brain magnetic resonance imaging, particularly for reliable atlas registration and large scale population studies. Existing approaches are often labor intensive, sensitive...
Unveiling an ALS Blood Transcriptomic Signature: A Machine Learning Classifier Distinct from Neurodegenerative Controls [0.03%]
揭开ALS血液转录组标志物的面纱：与神经退行性对照组不同的机器学习分类器
Elisa Gascón,Ana Cristina Calvo,Pilar Zaragoza et al.
Elisa Gascón et al.
The absence of accessible and reliable biomarkers constitutes a critical barrier for the early diagnosis and stratification of neurodegenerative diseases. While peripheral blood offers a minimally invasive window into systemic pathophysiolo...
Cross-Platform Neurotransmitter & Alias Ambiguity for OA-AL2b1 and OA-AL2b2 Neurons in Drosophila melanogaster [0.03%]
果蝇OA-AL2b1和OA-AL2b2神经元中的跨平台神经递质及别名歧义性
Renoy Antony Olivera
Renoy Antony Olivera
Accurate neuron identification is necessary for reproducible connectomics. While examining historically described octopaminergic neurons of the Drosophila melanogaster optic lobe, I found that most octopaminergic (OA) neurons of interest re...
Quantifying Correlogram Shape to Analyze Neuronal Firing Dynamics Recorded in TBI-on-a-Chip [0.03%]
定量分析TBI芯片上记录的神经元放电动力学的自相关图形状
Casey Erin Adam,Shatha J Mufti,Jhon Martinez et al.
Casey Erin Adam et al.
Changes in neuronal network dynamics in response to different treatments or conditions underly brain function and pathology. A multitude of tools, including electroencephalography, voltage or calcium imaging, and microelectrode array (MEA) ...
Corpus Callosum Segmentation on Structural MRI Using Multi-atlas Deformable Registration [0.03%]
基于结构磁共振图像的多图谱配准顶盖束分割方法
Amir Sariaslani,Hamid Abrishami Moghaddam,Babak A Ardekani;Alzheimer’s Disease Neuroimaging Initiative
Amir Sariaslani
Evaluating Homoscedastic Uncertainty Weighting and Generative Tau Imputation in a Multimodal, Multitask Deep Learning Framework for Alzheimer's Disease [0.03%]
评估同方差不确定性加权和生成性tau插补在多模态、多任务深度学习框架下阿尔茨海默病的诊断效果
Romana Caposova,Tim Blackwell
Romana Caposova