Joint optimization of maintenance policy and inspection interval for a multi-unit series system using proportional hazards model. - Leila Jafari; Farnoosh Naderkhani; Viliam Makis (J. Oper. Res. Soc., 2018)

Application of Deep Learning for Fault Diagnostic in Induction Machine's Bearings. - Nastaran Enshaei; Farnoosh Naderkhani (ICPHM, 2019)

ND-SMPF: A Noisy Deep Neural Network Fusion Framework for Stock Price Movement Prediction. - Farnoush Ronaghi; Mohammad Salimibeni; Farnoosh Naderkhani; Arash Mohammadi 001 (FUSION, 2020)

Integrated Deep Learning and Statistical Process Control for Online Monitoring of Manufacturing Processes. - Safwan Ahmad; Nastaran Enshaei; Farnoosh Naderkhani; Anjali Awasthi (ICPHM, 2020)

Semi-Supervised Learning Approach for Optimizing Condition-based-Maintenance (CBM) Decisions. - Kamyar Azar; Farnoosh Naderkhani (ICPHM, 2020)

Automated detection of textured-surface defects using UNet-based semantic segmentation network. - Nastaran Enshaei; Safwan Ahmad; Farnoosh Naderkhani (ICPHM, 2020)

Designing a Reliability Quick Switching Sampling Plan based on the Lifetime Performance Index. - Hasan Rasay; Farnoosh Naderkhani (ICPHM, 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)

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)

Comparison of Two Maintenance Policies for the Coordination of Decisions of Quality Control and Maintenance Planning. - Hasan Rasay; Farnoosh Naderkhani (ICPHM, 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)

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)

ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals. - Mansooreh Montazerin; Soheil Zabihi; Elahe Rahimian; Arash Mohammadi 001; Farnoosh Naderkhani (EMBC, 2022)

A Generalization Enhancement Approach for Deep Learning Segmentation Models: Application in COVID-19 Lesion Segmentation from Chest CT Slices. - Nastaran Enshaei; Moezedin Javad Rafiee; Farnoosh Naderkhani (EUSIPCO, 2022)

Data Shapley Value for Handling Noisy Labels: An Application in Screening Covid-19 Pneumonia from Chest CT Scans. - Nastaran Enshaei; Moezedin Javad Rafiee; Arash Mohammadi 001; Farnoosh Naderkhani (ICASSP, 2022)

Dynamic Maintenance of Continuously Monitored Parallel Systems. - Fariba Azizi; Hasan Rasay; Farnoosh Naderkhani (ICPHM, 2022)

Reinforcement Learning based on Stochastic Dynamic Programming for Condition-based Maintenance of Deteriorating Production Processes. - Hasan Rasay; Farnoosh Naderkhani; Amir-Mohammad Golmohammadi (ICPHM, 2022)

Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains. - Mansooreh Montazerin; Elahe Rahimian; Farnoosh Naderkhani; Seyed Farokh Atashzar; Svetlana N. Yanushkevich; Arash Mohammadi 001 (CoRR, 2022)

COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction. - Farnoush Ronaghi; Mohammad Salimibeni; Farnoosh Naderkhani; Arash Mohammadi 001 (Expert Syst. Appl., 2022)

Time to signal distribution of multivariate bayesian control chart with dual sampling scheme. - Farnoosh Naderkhani (Int. J. Prod. Res., 2022)

Semi-supervised clustering-based method for fault diagnosis and prognosis: A case study. - Kamyar Azar; Zohreh Hajiakhondi-Meybodi; Farnoosh Naderkhani (Reliab. Eng. Syst. Saf., 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)

HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information. - Mansooreh Montazerin; Elahe Rahimian; Farnoosh Naderkhani; Seyed Farokh Atashzar; Hamid Alinejad-Rokny; Arash Mohammadi 001 (ICASSP, 2023)

Application of Machine Learning for Anomaly Detection in Printed Circuit Boards Imbalance Date Set. - Mehrnaz Mirzaei; Marzieh Hashemzadeh Sadat; Farnoosh Naderkhani (ICPHM, 2023)

A Reinforcement Learning Algorithm for Optimal Dynamic Policies of Joint Condition-based Maintenance and Condition-based Production. - Hasan Rasay; Fariba Azizi; Mehrnaz Salmani; Farnoosh Naderkhani (ICPHM, 2023)

Spiking Neural Networks for sEMG-Based Hand Gesture Recognition. - Mansooreh Montazerin; Farnoosh Naderkhani; Arash Mohammadi 001 (SMC, 2023)

Enhancing Stock Trading Performance with Deep Q-Learning by Addressing Noisy Data through Advanced Denoising Techniques. - Soroush Shahsafi; Farnoosh Naderkhani (FUSION, 2024)

A mathematical maintenance model for a production system subject to deterioration according to a stochastic geometric process. - Hasan Rasay; Fariba Azizi; Farnoosh Naderkhani (Ann. Oper. Res., 2024)

Joint Optimization of Condition-Based Maintenance and Production Rate Using Reinforcement Learning Algorithms. - Hasan Rasay; Fariba Azizi; Mehrnaz Salmani; Farnoosh Naderkhani (Qual. Reliab. Eng. Int., 2025)