Unsupervised Discovery of Ischemic Stroke Phenotypes from Multimodal MRI Radiomics [0.03%]
基于多模态MRI影像组学的缺血性卒中表型无监督发现方法研究
Subasini Ramesh,Snekhalatha Umapathy
Subasini Ramesh
This study presents a fully unsupervised and label-independent radiomic pipeline designed to group different types of ischemic stroke lesions using multimodal Magnetic Resonance Imaging (MRI) . The aim is to address lesion heterogeneity and...
MLGF-GAN: a multi-level local-global feature fusion GAN for OCT image super-resolution [0.03%]
一种多水平局部全局特征融合GAN的OCT超分辨率图像方法
Tingting Han,Wenxuan Li,Jixing Han et al.
Tingting Han et al.
Optical coherence tomography (OCT), a non-invasive imaging modality, holds significant clinical value in cardiology and ophthalmology. However, its imaging quality is often constrained by inherently limited resolution, thereby affecting dia...
Derivation of Tissue Properties from Basis-Vector Model Weights for Dual-Energy CT-Based Monte Carlo Proton Beam Dose Calculations [0.03%]
基于双能量CT的蒙特卡罗质子束剂量计算的基本向量模型权重生成组织参数的方法
Maria Jose Medrano,Xinyuan Chen,Lucas N Burigo et al.
Maria Jose Medrano et al.
We propose a novel method, basis vector model material indexing (BVM-MI), for predicting atomic composition and mass density from two independent basis vector model weights derived from dual-energy CT (DECT) for Monte Carlo (MC) dose planni...
Insights from a Discrete Generalized Beta Distribution analysis of heart rate and blood pressure variability: An integrated approach to study end- stage renal disease [0.03%]
基于心率和血压变异性的离散广义贝塔分布分析洞察：一种用于研究终末期肾病的综合方法
Alejandro Aguado-García,Claudia Lerma,Juan C Echeverria et al.
Alejandro Aguado-García et al.
The study of inter-beat intervals (IBI) and systolic blood pressure (SBP) fluctuations is of public health importance. Here we obtain insights about their underlying dynamics by means of an innovative study of the distribution of their rank...
Research on Combining Motor Imagery and Somatosensory Attentional Orientation to Enhance BCI Performance [0.03%]
结合运动想象和躯体感觉注意定向以增强BCI性能的研究
Wei Jianqiu,Banghua Yang,Xiang Chen et al.
Wei Jianqiu et al.
In this study, we propose a motor imagery(MI) method based on Somatosensory Attentional Orientation(SAO) to enhance the performance of MI based brain-computer interfaces (BCI). In this BCI system, participants perform unilateral hand MI tas...
Assessing photoplethysmography signal quality for wearable devices during unrestricted daily activities [0.03%]
评估可穿戴设备在自由日常活动中光容积描记信号质量
Liang Wei,Yushun Gong,Yunchi Li et al.
Liang Wei et al.
Photoplethysmography (PPG) is widely used in wearable health monitors for tracking fundamental physiological parameters (e.g., heart rate and blood oxygen saturation) and advancing applications requiring high-quality signals-such as blood p...
Stress Detection Using Time-Frequency Analysis and Machine Learning Framework [0.03%]
基于时频分析和机器学习框架的压力检测方法研究
Subathra P,Malarvizhi Subramani,Shantanu Patil et al.
Subathra P et al.
Stress is a prevalent and inherent phenomenon in people. It triggers the production of hormones that assist in managing the scenarios; nevertheless, chronic stress adversely impacts physical and mental health, which may result in detrimenta...
MR-based synthetic CT generation using dual-attention enhanced 3D Conditional GAN for head and neck radiotherapy [0.03%]
基于双注意力增强的3D条件生成对抗网络的MR图像合成CT在头颈部放疗中的应用研究
Fengfeng He,Kang Tan,Shenglin Liu et al.
Fengfeng He et al.
This study aims to synthesize CT from MR images for radiotherapy planning of head and neck tumor using an improved three-dimensional conditional generative adversarial network (3D cGAN) based on dual-attention modules.
Methods: A total ...
Miniaturized low-field thoracic magnetic stimulation device for assessing effects on peripheral oxygen saturation levels in healthy rats [0.03%]
一种微型低磁场胸部磁刺激装置用于评估健康大鼠外周血氧饱和度变化的效果
Jennyfer Moreno,Saúl Manuel Domínguez-Nicolás,Jorge Gutierrez Ojeda et al.
Jennyfer Moreno et al.
Objective: This study aimed to develop a miniaturized low-field thoracic magnetic stimulation (LF-ThMS) device to evaluate its effects on peripheral oxygen saturation (SpO2) in healthy rats. This investigation was motivat...
Small-object-sensitive deep reinforcement learning for fully automatic 3D vessel segmentation in medical images [0.03%]
面向医学图像中小目标敏感的深度强化学习的全自动三维血管分割方法
Jingliang Zhao,Xianyang Lin,An Zeng et al.
Jingliang Zhao et al.
Pre-extracted lumen information of 3D vessel in medical images can effectively assist doctors in intraoperative navigation and postoperative evaluation, which has important clinical value. The main challenge faced by fully automatic 3D vess...