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

Detection of Valve Vegetations in Native and Prosthetic Valves using Echocardiographic Radiomics and Deep Learning on Transesophageal Echocardiography Images

利用经食道超声心动图图像的超声心动图放射组学和深度学习技术检测天然瓣膜和人工瓣膜中的瓣膜赘生物

Esmaely, Farid; Moradnejad, Pardis; Boudagh, Shabnam; Zamani-Aliabadi, Seyed Mohammad; Pasha, Hamid Reza; Bitarafan-Rajabi, Ahmad; Ansari, Leyla

Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study

基于SPECT心肌灌注显像的人工智能辅助冠状动脉疾病诊断:一项综合深度学习研究

Hajianfar, Ghasem; Gharibi, Omid; Sabouri, Maziar; Mohebi, Mobin; Amini, Mehdi; Yasemi, Mohammad Javad; Chehreghani, Mohammad; Maghsudi, Mehdi; Mansouri, Zahra; Edalat-Javid, Mohammad; Valavi, Setareh; Bitarafan Rajabi, Ahmad; Salimi, Yazdan; Arabi, Hossein; Rahmim, Arman; Shiri, Isaac; Zaidi, Habib

ELTIRADS framework for thyroid nodule classification integrating elastography, TIRADS, and radiomics with interpretable machine learning

ELTIRADS框架用于甲状腺结节分类,该框架整合了弹性成像、TIRADS和放射组学,并结合了可解释的机器学习技术。

Barzegar-Golmoghani, Erfan; Mohebi, Mobin; Gohari, Zahra; Aram, Sadaf; Mohammadzadeh, Ali; Firouznia, Sina; Shakiba, Madjid; Naghibi, Hamed; Moradian, Sadegh; Ahmadi, Maryam; Almasi, Kazhal; Issaiy, Mahbod; Anjomrooz, Mehran; Tavangar, Seyed Mohammad; Javadi, Sheida; Bitarafan-Rajabi, Ahmad; Davoodi, Mohammad; Sharifian, Hashem; Mohammadzadeh, Maryam

AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view

利用人工智能增强的碘-131平面成像单斜视图进行患者个体化剂量测定

Jalilifar, Mostafa; Sadeghi, Mahdi; Emami-Ardekani, Alireza; Bitarafan-Rajabi, Ahmad; Geravand, Kouhyar; Geramifar, Parham

Myocardial perfusion SPECT radiomic features reproducibility assessment: Impact of image reconstruction and harmonization

心肌灌注SPECT放射组学特征可重复性评估:图像重建和协调的影响

Gharibi, Omid; Hajianfar, Ghasem; Sabouri, Maziar; Mohebi, Mobin; Bagheri, Soroush; Arian, Fatemeh; Yasemi, Mohammad Javad; Bitarafan Rajabi, Ahmad; Rahmim, Arman; Zaidi, Habib; Shiri, Isaac

Machine learning based radiomics model to predict radiotherapy induced cardiotoxicity in breast cancer

基于机器学习的放射组学模型预测乳腺癌放射治疗引起的心脏毒性

Talebi, Amin; Bitarafan-Rajabi, Ahmad; Alizadeh-Asl, Azin; Seilani, Parisa; Khajetash, Benyamin; Hajianfar, Ghasem; Tavakoli, Meysam

Radiomics early assessment of post chemotherapy cardiotoxicity in cancer patients using 2D echocardiography imaging an interpretable machine learning study

利用二维超声心动图成像进行放射组学早期评估癌症患者化疗后心脏毒性:一项可解释的机器学习研究

Ahmadi, Masumeh; Barzegar-Golmoghani, Erfan; Ghaffari Jolfayi, Amir; Mohebi, Mobin; Alizadehasl, Azin; Mohseni, Mina; Bitarafan-Rajabi, Ahmad

Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance

基于人工智能的全身骨闪烁显像分析:探索最优深度学习算法并与人类观察者的性能进行比较

Hajianfar, Ghasem; Sabouri, Maziar; Salimi, Yazdan; Amini, Mehdi; Bagheri, Soroush; Jenabi, Elnaz; Hekmat, Sepideh; Maghsudi, Mehdi; Mansouri, Zahra; Khateri, Maziar; Hosein Jamshidi, Mohammad; Jafari, Esmail; Bitarafan Rajabi, Ahmad; Assadi, Majid; Oveisi, Mehrdad; Shiri, Isaac; Zaidi, Habib

Assessment of 4D flow MRI for quantification of left-to-right shunt in pediatric patients with ventricular septal defect: comparison with right heart catheterization

评估4D流磁共振成像在量化儿童室间隔缺损患者左向右分流中的应用:与右心导管检查的比较

Zamani-Aliabadi, Seyed Mohammad; Qanadli, Salah D; Fatehi-Feyzabad, Seyed Hasan; Ghasemnezhad, Mohsen; Ghaemi, Hamidreza; Azarine, Arshid; Mohammadzadeh, Ali; Bitarafan-Rajabi, Ahmad; Mortezaeian, Hojjat; Rezaei-Kalantari, Kiara

Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition

心肌灌注SPECT成像放射组学特征及用于心脏收缩模式识别的机器学习算法

Sabouri, Maziar; Hajianfar, Ghasem; Hosseini, Zahra; Amini, Mehdi; Mohebi, Mobin; Ghaedian, Tahereh; Madadi, Shabnam; Rastgou, Fereydoon; Oveisi, Mehrdad; Bitarafan Rajabi, Ahmad; Shiri, Isaac; Zaidi, Habib