Generalized Single-Degree-of-Freedom Model to Study Viral Inactivation by Radiated Microwaves [0.03%]
一种广义单自由度模型用于研究辐照微波灭活病毒问题
Federica Caselli,Pietro Bia,Margherita Losardo et al.
Federica Caselli et al.
Objective: Recent outbreaks and pandemics have emphasized the need for safe and reliable viral inactivation methods. The purpose of this work is to develop a simple and effective modeling approach to investigate viral ina...
EEG-Based Auditory Attention Decoding for Speaker Identification Under Mixed-Speech Hearing-Assistive Conditions [0.03%]
基于EEG的听觉注意解码在混合语音助听条件下进行说话人识别
Yuting Ding,Lei Wang,Jing Lu et al.
Yuting Ding et al.
Speaker identification in auditory attention decoding (SI-AAD) aims to identify the attended speaker from electroencephalography (EEG) signals. However, its application for hearing-impaired individuals is limited since existing methods rare...
Fiber-Less, Large-Scale Opto-Electrophysiology Interface for Micro-Scale Interaction of Multiple Brain Regions [0.03%]
用于多个微尺度脑区间交互的大规模无光纤光电生理接口
Sungjin Oh,Jose Roberto Lopez Ruiz,Kanghwan Kim et al.
Sungjin Oh et al.
Objective: Recent neuroscientific research craves for understanding sophisticated brain networks formed by neuron ensembles across multiple regions. An ideal way to unveil the complex connectome is bidirectionally interac...
Wall Shear Stress Predicts Venous Tissue Growth in Endovascular Neural Interfaces [0.03%]
血管剪切力可预测血管组织界面中外周神经移植物中的静脉组织生长
Weijie Qi,Matthew Hammink,Andrew Ooi et al.
Weijie Qi et al.
Traditionally, venous stents have been employed to maintain vessel patency in cases of venous obstruction. Recent advancements in stent-electrode technology have broadened their application to include endovascular neural interfaces for neur...
Structured and sparse partial least squares coherence for multivariate cortico-muscular analysis [0.03%]
用于多变量脑肌分析的结构化和稀疏部分最小二乘一致性方法
Jingyao Sun,Qilu Zhang,Di Ma et al.
Jingyao Sun et al.
Multivariate cortico-muscular analysis has recently emerged as a promising approach for evaluating the corticospinal neural pathway. However, current multivariate approaches encounter challenges such as high dimensionality and limited sampl...
T2AgeNet: A Text-Guided Framework with Tissue Features for Brain Age Estimation [0.03%]
基于组织特征的文本引导的大脑年龄估计框架T2AgeNet
Shengxian Chen,Wenxuan Wu,Xin Zhang et al.
Shengxian Chen et al.
Brain age estimation from structural MRI is an effective approach for detecting abnormal neurodevel opment and neurodegeneration. However, most existing methods produce global biomarkers that lack tissue-level specificity and fail to levera...
Differentiable Forward and Back-Projector for Rigid Motion Estimation in X-ray Imaging [0.03%]
基于X射线成像的刚体运动估计中的可微前向和逆向投影算法
Xiao Jiang,Xin Wang,Ali Uneri et al.
Xiao Jiang et al.
Objective: In this work, we propose a framework for differentiable forward and back-projector that enables scalable, accurate, and memory-efficient gradient computation for rigid motion estimation tasks. ...
A Sparse Constrained Optimization Method for Resolving Coincident Single-Cell Events in Microfluidic-Based Impedance Sensing [0.03%]
一种基于稀疏约束优化方法的微流体阻抗感应中解析单细胞偶发事件的新算法研究
Yucheng Xia,Jiahao Guo,Yifan Shi et al.
Yucheng Xia et al.
Objective: Label-free electrical impedance-based single-cell detection has been widely applied in cell sorting, electrical phenotyping, and monitoring of cell growth status. However, when high-concentration cell suspensio...
Interleaved Imaging and Actuation for Real-Time MRI during Active Control of a Magnetically-Actuated Robotic Catheter [0.03%]
用于磁控机器人导管主动控制的实时MRI的交错成像与驱动方法研究
Ridaa Z Ali,Dominique Franson,Isabella Devai Camacho de Oliveira et al.
Ridaa Z Ali et al.
Objective: Magnetic Resonance Imaging (MRI)-guided robotic catheter interventions offer improved safety, visualization and control. Catheter actuation with current-carrying microcoils offers fast and responsive actuation ...
Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation [0.03%]
让医疗AI健康发展和取信于人：系统退化检测与修复方法综述
Hao Guan,David Bates,Li Zhou
Hao Guan
Artificial intelligence (AI) is increasingly integrated into modern healthcare, offering powerful support for clinical decision-making. However, in real-world settings, AI systems may experience performance degradation over time, due to fac...