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
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.
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...
Computed Tomography Scan and Clinical-based Complete Response Prediction in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Machine Learning Approach [0.03%]
新辅助放化疗后局部晚期直肠癌患者的CT评估及临床完全缓解预测：一种机器学习方法
Seyyed Hossein Mousavie Anijdan,Daryush Moslemi,Reza Reiazi et al.
Seyyed Hossein Mousavie Anijdan et al.
Background: Treatment of locally advanced rectal cancer (LARC) involves neoadjuvant chemoradiotherapy (nCRT), followed by total mesorectal excision. Examining the response to treatment is one of the most important factors...
Advancing Proton Therapy: A Review of Geant4 Simulation for Enhanced Planning and Optimization in Hadron Therapy [0.03%]
先进质子治疗：增强粒子治疗规划和优化的Geant4模拟综述
Mahnaz Etehadtavakol,Parvaneh Shokrani,Ahmad Shanei
Mahnaz Etehadtavakol
Proton therapy is a cancer treatment method that uses high-energy proton beams to target and destroy cancer cells. In recent years, the use of proton therapy in cancer treatment has increased due to its advantages over traditional radiation...
Evaluation of Dose Calculation Algorithms Accuracy for ISOgray Treatment Planning System in Motorized Wedged Treatment Fields [0.03%]
评价等中心调强射野计划系统中机架旋转斜射野的剂量计算算法
Sajjad Raghavi,Hamid-Reza Sadoughi,Mohammad Ehsan Ravari et al.
Sajjad Raghavi et al.
Background: Different dose calculation methods vary in accuracy and speed. While most methods sacrifice precision for efficiency Monte Carlo (MC) simulation offers high accuracy but slower calculation. ISOgray treatment p...