日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Early Diagnosis of Parkinson's Disease Through Lite HGWA-Net Model: A Hybrid CNN Based on Wavelet Transform and Attention Mechanism

基于Lite HGWA-Net模型的帕金森病早期诊断:一种基于小波变换和注意力机制的混合卷积神经网络

Yaghoubi, Zohre; Setayeshi, Saeed; Motamed, Sara; Sabeti, Malihe

Accuracy of four models and update strategies to estimate liver tumor motion from external respiratory motion

四种模型的准确性及更新策略,用于根据外部呼吸运动估计肝肿瘤的运动

Samadi Miandoab, Payam; Worm, Esben; Hansen, Rune; Weber, Britta; Høyer, Morten; Saramad, Shahyar; Setayeshi, Saeed; Poulsen, Per Rugaard

A Novel Treatment Planning Design for Intraoperative Electron Radiation Therapy (IOERT) using an Electronic Board

基于电子板的术中电子放射治疗(IOERT)新型治疗计划设计

Pouyanrad, Zahra; Shamsaei Zafarghandi, Mojtaba; Setayeshi, Saeed

Respiratory motion prediction based on deep artificial neural networks in CyberKnife system: A comparative study

基于深度人工神经网络的CyberKnife系统呼吸运动预测:一项比较研究

Samadi Miandoab, Payam; Saramad, Shahyar; Setayeshi, Saeed

A retrospective multi-center feasibility study of a new PTV margin estimation approach for moving targets using CyberKnife log files

一项回顾性多中心可行性研究,旨在探讨一种利用CyberKnife日志文件对运动目标进行新的PTV边界估计方法。

Samadi Miandoab, Payam; Saramad, Shahyar; Setayeshi, Saeed; Blanck, Oliver

A New Method for Optimizing the Size of Axial FOV in TOF-PEM to Improve Performance of the Scanner

一种优化TOF-PEM轴向FOV尺寸以提高扫描仪性能的新方法

Roshani, Delband; Setayeshi, Saeed

Target margin design through analyzing a large cohort of clinical log data in the cyberknife system

通过分析CyberKnife系统中大量的临床日志数据来设计目标边界。

Samadi Miandoab, Payam; Saramad, Shahyar; Setayeshi, Saeed

Early diagnosis of skin cancer by ultrasound frequency analysis

利用超声频率分析早期诊断皮肤癌

Kia, Shabnam; Setayeshi, Saeed; Pouladian, Majid; Ardehali, Seyed Hossein

Parameter estimation of breast tumour using dynamic neural network from thermal pattern

利用动态神经网络从热模式估计乳腺肿瘤参数

Saniei, Elham; Setayeshi, Saeed; Akbari, Mohammad Esmaeil; Navid, Mitra