COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning. - Parnian Afshar; Shahin Heidarian; Nastaran Enshaei; Farnoosh Naderkhani; Moezedin Javad Rafiee; Anastasia Oikonomou; Faranak Babaki Fard; Kaveh Samimi; Konstantinos N. Plataniotis; Arash Mohammadi 001 (CoRR, 2020)

COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images. - Parnian Afshar; Shahin Heidarian; Farnoosh Naderkhani; Anastasia Oikonomou; Konstantinos N. Plataniotis; Arash Mohammadi 001 (Pattern Recognit. Lett., 2020)

Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks. - Shahin Heidarian; Parnian Afshar; Arash Mohammadi 001; Moezedin Javad Rafiee; Anastasia Oikonomou; Konstantinos N. Plataniotis; Farnoosh Naderkhani (ICASSP, 2021)

Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data. - Parnian Afshar; Shahin Heidarian; Farnoosh Naderkhani; Moezedin Javad Rafiee; Anastasia Oikonomou; Konstantinos N. Plataniotis; Arash Mohammadi 001 (ICIP, 2021)

Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network. - Parnian Afshar; Moezedin Javad Rafiee; Farnoosh Naderkhani; Shahin Heidarian; Nastaran Enshaei; Anastasia Oikonomou; Faranak Babaki Fard; Reut Anconina; Keyvan Farahani; Konstantinos N. Plataniotis; Arash Mohammadi 001 (CoRR, 2021)

COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans. - Nastaran Enshaei; Anastasia Oikonomou; Moezedin Javad Rafiee; Parnian Afshar; Shahin Heidarian; Arash Mohammadi 001; Konstantinos N. Plataniotis; Farnoosh Naderkhani (CoRR, 2021)

Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans. - Shahin Heidarian; Parnian Afshar; Nastaran Enshaei; Farnoosh Naderkhani; Moezedin Javad Rafiee; Anastasia Oikonomou; Akbar Shafiee; Faranak Babaki Fard; Konstantinos N. Plataniotis; Arash Mohammadi 001 (CoRR, 2021)

CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans. - Shahin Heidarian; Parnian Afshar; Anastasia Oikonomou; Konstantinos N. Plataniotis; Arash Mohammadi 001 (CoRR, 2021)

COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans. - Shahin Heidarian; Parnian Afshar; Nastaran Enshaei; Farnoosh Naderkhani; Moezedin Javad Rafiee; Faranak Babaki Fard; Kaveh Samimi; Seyed Farokh Atashzar; Anastasia Oikonomou; Konstantinos N. Plataniotis; Arash Mohammadi 001 (Frontiers Artif. Intell., 2021)

COVID-19 Low-Dose and Ultra-Low-Dose CT Scans. - Parnian Afshar; Moezedin Javad Rafiee; Farnoosh Naderkhani; Shahin Heidarian; Nastaran Enshaei; Anastasia Oikonomou; Faranak Babaki Fard; Reut Anconina; Konstantinos N. Plataniotis; Arash Mohammadi 001 (IEEE DataPort, 2021)

TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks. - Zohreh Hajiakhondi-Meybodi; Arash Mohammadi 001; Elahe Rahimian; Shahin Heidarian; Jamshid Abouei; Konstantinos N. Plataniotis (ICC, 2022)

Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction. - Sadaf Khademi; Shahin Heidarian; Parnian Afshar; Farnoosh Naderkhani; Anastasia Oikonomou; Konstantinos N. Plataniotis; Arash Mohammadi 001 (ICASSP, 2023)

Multi-content time-series popularity prediction with Multiple-model Transformers in MEC networks. - Zohreh Hajiakhondi-Meybodi; Arash Mohammadi 001; Ming Hou 002; Elahe Rahimian; Shahin Heidarian; Jamshid Abouei; Konstantinos N. Plataniotis (Ad Hoc Networks, 2024)