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

Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation

基于基线胸部X光片鉴别COVID-19与其他类型病毒性肺炎及严重程度评分:深度学习与多位阅片者评估的比较

Enshaei, Nastaran; Mohammadi, Arash; Naderkhani, Farnoosh; Daneman, Nick; Abu Mughli, Rawan; Anconina, Reut; Berger, Ferco H; Kozak, Robert Andrew; Mubareka, Samira; Villanueva Campos, Ana Maria; Narang, Keshav; Vivekanandan, Thayalasuthan; Chan, Adrienne Kit; Lam, Philip; Andany, Nisha; Oikonomou, Anastasia

Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals

基于Transformer的手势识别:从瞬时到融合的高密度肌电信号神经分解

Montazerin, Mansooreh; Rahimian, Elahe; Naderkhani, Farnoosh; Atashzar, S Farokh; Yanushkevich, Svetlana; Mohammadi, Arash

Robust framework for COVID-19 identication from a multicenter dataset of chest CT scans

基于多中心胸部CT扫描数据集的COVID-19识别稳健框架

Khademi, Sadaf; Heidarian, Shahin; Afshar, Parnian; Enshaei, Nastaran; Naderkhani, Farnoosh; Rafiee, Moezedin Javad; Oikonomou, Anastasia; Shafiee, Akbar; Babaki Fard, Faranak; Plataniotis, Konstantinos N; Mohammadi, Arash

Immune thrombocytopenic purpura secondary to COVID-19 vaccination: A systematic review

COVID-19疫苗接种后继发免疫性血小板减少性紫癜:系统评价

Bidari, Ali; Asgarian, Sara; Pour Mohammad, Arash; Naderi, Delaram; Anaraki, Shiva Rahimipour; Gholizadeh Mesgarha, Milad; Naderkhani, Mahya

Development of a Scoring Method Based on a Chest CT Scan to Determine the Outcomes of COVID-19 Patients

基于胸部CT扫描的评分方法在确定COVID-19患者预后中的应用

Bidari, Ali; Zarei, Elham; Hassanzadeh, Morteza; Gholizadeh Mesgarha, Milad; Pour Mohammad, Arash; Shafiei, Reyhaneh; Mortaja, Mahsa; Naderkhani, Mahya

COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images

COVID-rate:一种用于从胸部 CT 图像中分割 COVID-19 病灶的自动化框架

Enshaei, Nastaran; Oikonomou, Anastasia; Rafiee, Moezedin Javad; Afshar, Parnian; Heidarian, Shahin; Mohammadi, Arash; Plataniotis, Konstantinos N; Naderkhani, Farnoosh

Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network

利用两阶段时间分布胶囊网络,通过低剂量CT扫描实现人类水平的COVID-19诊断

Afshar, Parnian; Rafiee, Moezedin Javad; Naderkhani, Farnoosh; Heidarian, Shahin; Enshaei, Nastaran; Oikonomou, Anastasia; Babaki Fard, Faranak; Anconina, Reut; Farahani, Keyvan; Plataniotis, Konstantinos N; Mohammadi, Arash

Comparison of Doppler Ultrasound and Digital Subtraction Angiography in extracranial stenosis

多普勒超声与数字减影血管造影在颅外动脉狭窄中的比较

Maroufi, Seyed Farzad; Rafiee Alavi, Seyedeh Niloufar; Abbasi, Mohammad Hossein; Famouri, Ali; Mahya Naderkhani; Armaghan, Sepehr; Allahdadian, Sepideh; Shahidi, Arian; Nazarian, Hossein; Esmaeili, Sara; Bahadori, Maryam; Motamed, Mohmmad Reza; Joghataei, Mohammad Taghi

Acute gastric volvulus following rapid and incomplete chewing of vegetables: A case report

快速不完全咀嚼蔬菜后发生急性胃扭转:病例报告

Pour Mohammad, Arash; Gholizadeh Mesgarha, Milad; Naderkhani, Mahya; Sarmadi, Rasoul; Zarei, Elham

COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning

COVID-CT-MD,适用于机器学习和深度学习的 COVID-19 计算机断层扫描数据集

Afshar, Parnian; Heidarian, Shahin; Enshaei, Nastaran; Naderkhani, Farnoosh; Rafiee, Moezedin Javad; Oikonomou, Anastasia; Fard, Faranak Babaki; Samimi, Kaveh; Plataniotis, Konstantinos N; Mohammadi, Arash