登录
Rifampin-loaded Mesoporous Silica Nanoparticles Improved Physical and Mechanical Properties and Biological Response of Acrylic Bone Cement [0.03%] 载 Rifampin 中孔二氧化硅纳米粒增强丙烯酸骨水泥的物理机械性能和生物相容性
Mohammad Reza Shafiei,Nader Nezafati,Saeed Karbasi et al. Mohammad Reza Shafiei et al.
Background: Acrylic bone cement, which is used to fix implants in the knee and hip, is prone to contamination with various types of infections. Adding small amounts of different antibiotics to the cement can help prevent ...
Predicting Severe Knee Arthritis Based on Two Inertial Measurement Unit Sensors as a Dynamic Coordinate System Using Classical Machine Learning [0.03%] 基于两个惯性测量单元传感器作为动态坐标系统使用经典机器学习预测重度膝关节炎
Erfan Azizi,Mohammadsadegh Darbankhalesi,Amirhossein Zare et al. Erfan Azizi et al.
Background: Aging of societies in recent and upcoming years has made musculoskeletal disorders a significant challenge for healthcare system. Knee osteoarthritis (KOA) is a progressive musculoskeletal disorder that is typ...
Isfahan Artificial Intelligence Event 2023: Reflux Detection Competition [0.03%] 2023年伊斯法罕人工智能会议：反流检测竞赛
Azra Rasouli Kenari,Ahmadreza Montazerolghaem,Zahra Zojaji et al. Azra Rasouli Kenari et al.
Background: Gastroesophageal reflux disease (GERD) is a prevalent digestive disorder that impacts millions of individuals globally. Multichannel intraluminal impedance-pH (MII-pH) monitoring represents a novel technique a...
Isfahan Artificial Intelligence Event 2023: Lesion Segmentation and Localization in Magnetic Resonance Images of Patients with Multiple Sclerosis [0.03%] 2023年伊斯法罕人工智能会议之多发性硬化症患者磁共振图像病变分割与定位比赛
Fariba Davanian,Iman Adibi,Mahnoosh Tajmirriahi et al. Fariba Davanian et al.
Background: Multiple sclerosis (MS) is one of the most common reasons of neurological disabilities in young adults. The disease occurs when the immune system attacks the central nervous system and destroys the myelin of n...
Graphs Constructed from Instantaneous Amplitude and Phase of Electroencephalogram Successfully Differentiate Motor Imagery Tasks [0.03%] 基于脑电瞬时幅值和相位构建的图论指标成功区分运动想象任务
Maliheh Miri,Vahid Abootalebi,Hamid Saeedi-Sourck et al. Maliheh Miri et al.
Background: Accurate classification of electroencephalogram (EEG) signals is challenging given the nonlinear and nonstationary nature of the data as well as subject-dependent variations. Graph signal processing (GSP) has ...
Samaneh Ghasemi,Zahra Baharlouei,Hossein Rabbani Samaneh Ghasemi
N/A1.32024 Editorial Journal of medical signals and sensors. 2024 Jan 23:15:1. DOI:10.4103/jmss.jmss_78_24 2024
Erratum: Investigation of Electrical Signals in the Brain of People with Autism Using Effective Connectivity Network [0.03%] 勘误：使用有效连接网络研究自闭症患者大脑中的电信号
[This corrects the article 24 in vol. 14, PMID: 39234588.]. Copyright: © 2025 Journal of Medical Signals & Sensors.
N/A1.32024 Published Erratum Journal of medical signals and sensors. 2024 Jan 23:15:4. DOI:10.4103/jmss.jmss_12_25 2024
Isfahan Artificial Intelligence Event 2023: Macular Pathology Detection Competition [0.03%] 2023伊斯法罕人工智能事件：黄斑病变检测比赛
Farnaz Sedighin,Maryam Monemian,Zahra Zojaji et al. Farnaz Sedighin et al.
Background: Computer-aided diagnosis (CAD) methods have become of great interest for diagnosing macular diseases over the past few decades. Artificial intelligence (AI)-based CADs offer several benefits, including speed, ...
Meysam Jahani,Zahra Zojaji,AhmadReza Montazerolghaem et al. Meysam Jahani et al.
Background: The pharmaceutical industry has seen increased drug production by different manufacturers. Failure to recognize future needs has caused improper production and distribution of drugs throughout the supply chain...
Radiomics based Machine Learning Models for Classification of Prostate Cancer Grade Groups from Multi Parametric MRI Images [0.03%] 基于影像组学的机器学习模型在多参数磁共振影像前列腺癌分级分类中的应用研究
Fatemeh Zandie,Mohammad Salehi,Asghar Maziar et al. Fatemeh Zandie et al.
Purpose: This study aimed to investigate the performance of multiparametric magnetic resonance imaging (mpMRI) radiomic feature-based machine learning (ML) models in classifying the Gleason grade group (GG) of prostate ca...