Validating Single-Camera Pose Estimation Against Multi-Camera Motion Capture for Accessible Biomechanical Assessment [0.03%]
基于单目相机的姿态估计验证及其在生物力学评估中的应用
Aniket Pratapneni,Ryan Halvorson,Pavlos Silvestros et al.
Aniket Pratapneni et al.
Motion analysis is critical for diagnosing and managing musculoskeletal disorders, but conventional multi-camera systems are expensive, limited to controlled environments, and require technical experience to operate. Single-camera, deep-lea...
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification [0.03%]
基于DP的大语言模型在放射学报告分类中的应用研究
Payel Bhattacharjee,Fengwei Tian,Geoffrey D Rubin et al.
Payel Bhattacharjee et al.
Large Language Models (LLMs) are being widely adopted in different domains including education, healthcare, and finance. In healthcare domain, LLMs are used in disease diagnosis, abnormality classification, remedy suggestions etc. Multi-abn...
Radio-Frequency Toroid Susceptometry of Magnetic Nanoparticles: What Goes Around Comes Around [0.03%]
磁性纳米颗粒的无线电频率环形线圈感应技术：周而复始
Ronald B Goldfarb
Ronald B Goldfarb
The intrinsic magnetic susceptibility of noninteracting magnetic nanoparticles is calculated from the measured complex radio-frequency susceptibility of dipolar-coupled particles in colloidal suspension. The susceptibility, derived from the...
Cross-Architecture Knowledge Distillation for Histopathological Image Analysis [0.03%]
跨体系结构知识蒸馏在组织病理图像分析中的应用
Seddik Boudissa,Hiroharu Kawanaka,Bruce Aronow et al.
Seddik Boudissa et al.
Histopathological image analysis presents unique challenges due to subtle inter-class variations, complex tissue structures, and high intra-class heterogeneity. Convolutional neural networks (CNNs) have traditionally dominated this domain b...
Md Shariful Islam,Min Jun Kim,Prashanta Dutta
Md Shariful Islam
Accurate labeling of training data is essential for reliable supervised machine learning, particularly in sensitive applications such as virus classification, autonomous driving, precision manufacturing, and medical diagnostics. However, th...
Deep Learning for Path Loss Prediction at 7 GHz in Urban Environment [0.03%]
基于深度学习的城市场景7GHz路径损耗预测方法研究
Thao T Nguyen,Nadia Yoza-Mitsuishi,Raied Caromi
Thao T Nguyen
In the 6 GHz spectrum sharing band, unlicensed devices are managed by automated frequency coordination (AFC) systems to protect incumbent services from interference. Thus, it is important to select accurate propagation models for interferen...
A Translational Platform for Polyimide Neural Interfaces: Polyimide Synthesis and in Vivo Evaluation in Epileptic Mice [0.03%]
用于神经接口的聚酰亚胺转化平台：聚酰亚胺合成及在癫痫小鼠体内的评估研究
Kshitij Kumar,Kaustubh Deshpande,Naveen Kalur et al.
Kshitij Kumar et al.
Thin-film polyimide neural probes have shown great promise in neuroscience but remain difficult to clinically translate due to the unavailability and lack of customizability of commercially available medical-grade polyamic acids. We present...
Online Charge Balancing With Active Impedance Monitoring in Programmable Stimulator to Extend Electrode Lifetime [0.03%]
基于主动阻抗监测的可编程刺激器在线荷电平衡技术延长电极寿命
Kangni Liu,Guangzong Chen,Kevin Woeppel et al.
Kangni Liu et al.
Neurostimulation therapies are often applied as an alternative method to pharmaceutical treatment for pain relief. This paper demonstrates a programmable stimulator for analgesic nerve stimulation through invasive electrodes. It provides tw...
Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis [0.03%]
基于约束的ICA/IVA算法在多被试fMRI数据分析中的多维度比较研究
Lucas Gois,Hanlu Yang,Trung Vu et al.
Lucas Gois et al.
Large-scale functional magnetic resonance imaging (fMRI) datasets provide exciting opportunities for understanding and improving brain health. Data-driven techniques such as independent component analysis (ICA) and independent vector analys...
ID-GBA: Subgraph Extension With Information Distance Guilt by Association in Complex Networks [0.03%]
基于复杂网络中信息距离的Guilt By Association的子图扩展算法
Predrag Obradovic,Vladimir Kovacevic,Aleksandar Milosavljevic et al.
Predrag Obradovic et al.
Here, we introduce the ID-GBA (Information Distance Guilt By Association) method to expand highly connected sets of nodes by deploying a novel algorithm for subgraph extension based on the guilt-by-association principle and information dist...