Publications:

1- Rahimzadeh, M. and Attar, A., 2020. A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2. Informatics in Medicine Unlocked, p.100360. (doi: https://doi.org/10.1016/j.imu.2020.100360)

2- Rahimzadeh, M., Attar, A. and Sakhaei, S.M., 2020. A Fully Automated Deep Learning-based Network for Detecting COVID-19 from a New And Large Lung CT Scan Dataset. Biomedical Signal Processing and Control, p.102588. (doi: https://doi.org/10.1016/j.bspc.2021.102588)

3- Rahimzadeh, M., Attar, A. Detecting and counting pistachios based on deep learning. Iran Journal of Comput Science (2021). https://doi.org/10.1007/s42044-021-00090-6 

4- Rahimzadeh, M., Parvin, S., Safi, E. and Mohammadi, M.R., 2021. Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps. arXiv preprint arXiv:2104.12294. (link: https://arxiv.org/abs/2104.12294)

5- Mohammadi, MR. and Rahimzadeh, M. and Attar, A., 2020. Sperm detection and tracking in phase-contrast microscopy image sequences using deep learning and modified CSR-DCF. arXiv preprint arXiv:2002.04034. (link: https://arxiv.org/abs/2002.04034) (submitted to Expert Systems with Applications)

6- M. Rahimzadeh and M. R. Mohammadi, "ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT images," 2021 11th International Conference on Computer Engineering and Knowledge (ICCKE), 2021, pp. 85-91, doi: 10.1109/ICCKE54056.2021.9721471.