| 2025 | FUSION | Integrating Image-Based Time Series Features with the Temporal Fusion Transformer for Stock Price Prediction. | Soroush Shahsafi, Farnoosh Naderkhani |
| 2024 | FUSION | Enhancing Stock Trading Performance with Deep Q-Learning by Addressing Noisy Data through Advanced Denoising Techniques. | Soroush Shahsafi, Farnoosh Naderkhani |
| 2023 | ICASSP | 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 |
| 2023 | ICASSP | 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 |
| 2023 | SMC | Spiking Neural Networks for sEMG-Based Hand Gesture Recognition. | Mansooreh Montazerin, Farnoosh Naderkhani, Arash Mohammadi |
| 2022 | ICASSP | 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, Farnoosh Naderkhani |
| 2021 | ICASSP | 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, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani |
| 2021 | ICIP | 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 |
| 2020 | FUSION | ND-SMPF: A Noisy Deep Neural Network Fusion Framework for Stock Price Movement Prediction. | Farnoush Ronaghi, Mohammad Salimibeni, Farnoosh Naderkhani, Arash Mohammadi |