| Predicting COVID-19 incidence through analysis of google trends data in Iran: data mining and deep learning pilot study SM Ayyoubzadeh, SM Ayyoubzadeh, H Zahedi, M Ahmadi, SRN Kalhori JMIR public health and surveillance 6 (2), e18828, 2020 | 408 | 2020 |
| NTIRE 2022 challenge on perceptual image quality assessment J Gu, H Cai, C Dong, JS Ren, R Timofte, Y Gong, S Lao, S Shi, J Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 93 | 2022 |
| Predicting COVID-19 incidence through analysis of google trends data in iran: data mining and deep learning pilot study AS Mohammad, SM Ayyoubzadeh, H Zahedi, M Ahmadi, SRN Kalhori JMIR public health and surveillance 6 (2), e18828, 2020 | 9 | 2020 |
| High frequency detail accentuation in CNN image restoration SM Ayyoubzadeh, X Wu IEEE Transactions on Image Processing 30, 8836-8846, 2021 | 8 | 2021 |
| (ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessment SM Ayyoubzadeh, A Royat Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
| R Niakan Kalhori, S.(2020). Predicting Covid-19 Incidence Through Analysis Of Google Trends Data In Iran: Data Mining And Deep Learning Pilot Study. Jmir Public Health And … SM Ayyoubzadeh, SM Ayyoubzadeh, H Zahedi, M Ahmadi | 7 | |
| Prediction of COVID-19 patients’ survival by deep learning approaches M Taheriyan, SM Ayyoubzadeh, M Ebrahimi, SRN Kalhori, AH Abooei, ... Medical Journal of the Islamic Republic of Iran 36, 2022 | 6 | 2022 |
| COVID-19 incidence using Google Trends and data mining techniques: A pilot study in Iran SM Ayyoubzadeh, SM Ayyoubzadeh, H Zahedi, M Ahmadi, P S RNK JMIR Public Health Surveill, 2020 | 5 | 2020 |
| Clinical data sharing using generative adversarial networks SM Ayyoubzadeh, SM Ayyoubzadeh, M Esmaeili Conn Health Telemed 1 (3), 98-100, 2022 | 4 | 2022 |
| Lossless compression of mosaic images with convolutional neural network prediction SM Ayyoubzadeh, X Wu arXiv preprint arXiv:2001.10484, 2020 | 4 | 2020 |
| Adaptive loss function for super resolution neural networks using convex optimization techniques SM Ayyoubzadeh, X Wu arXiv preprint arXiv:2001.07766, 2020 | 4 | 2020 |
| R Niakan Kalhori Sharareh. Predicting COVID-19 incidence through analysis of Google Trends data in Iran: data mining and deep learning pilot study. JMIR Public Health Surveill … S Ayyoubzadeh, S Ayyoubzadeh, H Zahedi, M Ahmadi | 3 | |
| Method, apparatus and system for adaptating a machine learning model for optical flow map prediction W Liu, SM Ayyoubzadeh, Y Yu, I Kezele, Y Wang, X Wu, J Tang US Patent App. 17/524,480, 2023 | 1 | 2023 |
| Test-Time Adaptation for Optical Flow Estimation Using Motion Vectors SM Ayyoubzadeh, W Liu, I Kezele, Y Yu, X Wu, Y Wang, T Jin IEEE Transactions on Image Processing, 2023 | | 2023 |
| Prior-Guided Deep Neural Networks for Image Restoration Tasks SM Ayyoubzadeh | | 2023 |
| 2021 Index IEEE Transactions on Image Processing Vol. 30 M Abdel-Mottaleb, ST Acton, T Adali, B Adsumilli, A Aggoun, SK Agrawal, ... IEEE Transactions on Image Processing 30, 2021 | | 2021 |
| Filter bank regularization of convolutional neural networks SM Ayyoubzadeh, X Wu arXiv preprint arXiv:1907.11110, 2019 | | 2019 |
