Lung tumor area recognition in CT images based on Gustafson-Kessel clustering. - Parnian Afshar; Abbas Ahmadi; M. H. Fazel Zarandi (FUZZ-IEEE, 2016)

Conceptual Framework for RoboDoc: A New Social Robot for Research Assistantship. - Azadeh Mohebi; Ramin Golshaie; Soheil Ganjefar; Ammar Jalalimanesh; Parnian Afshar; Ali Aali Hosseini; Seyyed Alireza Ghoreishi; Amir Badamchi (ICSR, 2016)

Intelligent breast cancer recognition using particle swarm optimization and support vector machines. - Abbas Ahmadi; Parnian Afshar (J. Exp. Theor. Artif. Intell., 2016)

Improved Explainability of Capsule Networks: Relevance Path by Agreement. - Atefeh Shahroudnejad; Parnian Afshar; Konstantinos N. Plataniotis; Arash Mohammadi 001 (GlobalSIP, 2018)

Brain Tumor Type Classification via Capsule Networks. - Parnian Afshar; Arash Mohammadi 001; Konstantinos N. Plataniotis (ICIP, 2018)

CARISI: Convolutional Autoencoder-Based Inter-Slice Interpolation of Brain Tumor Volumetric Images. - Parnian Afshar; Atefeh Shahroudnejad; Arash Mohammadi 001; Konstantinos N. Plataniotis (ICIP, 2018)

From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities. - Parnian Afshar; Arash Mohammadi 001; Konstantinos N. Plataniotis; Anastasia Oikonomou; Habib Benali (CoRR, 2018)

Capsule Networks for Brain Tumor Classification based on MRI Images and Course Tumor Boundaries. - Parnian Afshar; Konstantinos N. Plataniotis; Arash Mohammadi 001 (CoRR, 2018)

A hierarchical stochastic modelling approach for reconstructing lung tumour geometry from 2D CT images. - Parnian Afshar; Abbas Ahmadi; Azadeh Mohebi; M. H. Fazel Zarandi (J. Exp. Theor. Artif. Intell., 2018)

Capsule Networks for Brain Tumor Classification Based on MRI Images and Coarse Tumor Boundaries. - Parnian Afshar; Konstantinos N. Plataniotis; Arash Mohammadi 001 (ICASSP, 2019)

Capsule Networks' Interpretability for Brain Tumor Classification Via Radiomics Analyses. - Parnian Afshar; Konstantinos N. Plataniotis; Arash Mohammadi 001 (ICIP, 2019)

From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and opportunities. - Parnian Afshar; Arash Mohammadi 001; Konstantinos N. Plataniotis; Anastasia Oikonomou; Habib Benali (IEEE Signal Process. Mag., 2019)

Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student Competition [SP Competitions]. - Arash Mohammadi 001; Parnian Afshar; Amir Asif; Keyvan Farahani; Justin S. Kirby; Anastasia Oikonomou; Konstantinos N. Plataniotis (IEEE Signal Process. Mag., 2019)

BoostCaps: A Boosted Capsule Network for Brain Tumor Classification. - Parnian Afshar; Konstantinos N. Plataniotis; Arash Mohammadi 001 (EMBC, 2020)

MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies. - Parnian Afshar; Anastasia Oikonomou; Konstantinos N. Plataniotis; Arash Mohammadi 001 (ICASSP, 2020)

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)

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications. - Arash Mohammadi 001; Yingxu Wang 001; Nastaran Enshaei; Parnian Afshar; Farnoosh Naderkhani; Anastasia Oikonomou; Moezedin Javad Rafiee; Helder Cesar Rodigues de Oliveira; Svetlana N. Yanushkevich; Konstantinos N. Plataniotis (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)

BayesCap: A Bayesian Approach to Brain Tumor Classification Using Capsule Networks. - Parnian Afshar; Arash Mohammadi 001; Konstantinos N. Plataniotis (IEEE Signal Process. 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)

MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction. - Parnian Afshar; Farnoosh Naderkhani; Anastasia Oikonomou; Moezedin Javad Rafiee; Arash Mohammadi 001; Konstantinos N. Plataniotis (Pattern Recognit., 2021)

Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications. - Arash Mohammadi 001; Yingxu Wang 001; Nastaran Enshaei; Parnian Afshar; Farnoosh Naderkhani; Anastasia Oikonomou; Moezedin Javad Rafiee; Helder Cesar Rodigues de Oliveira; Svetlana N. Yanushkevich; Konstantinos N. Plataniotis (IEEE Signal Process. Mag., 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)

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. - Parnian Afshar; Arash Mohammadi 001; Konstantinos N. Plataniotis; Keyvan Farahani; Justin S. Kirby; Anastasia Oikonomou; Amir Asif; Leonard Wee; Andre Dekker; Xin Wu; Mohammad Ariful Haque; Shahruk Hossain; et al. (CoRR, 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)

Improving the Accuracy of Beauty Product Recommendations by Assessing Face Illumination Quality. - Parnian Afshar; Jenny Yeon; Andriy Levitskyy; Rahul Suresh; Amin Banitalebi-Dehkordi (CoRR, 2023)