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Seyed Mehdi Ayyoubzadeh
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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
3942020
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
852022
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
92020
(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
72021
High frequency detail accentuation in CNN image restoration
SM Ayyoubzadeh, X Wu
IEEE Transactions on Image Processing 30, 8836-8846, 2021
62021
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
6
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
52022
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
52020
Lossless compression of mosaic images with convolutional neural network prediction
SM Ayyoubzadeh, X Wu
arXiv preprint arXiv:2001.10484, 2020
42020
Adaptive loss function for super resolution neural networks using convex optimization techniques
SM Ayyoubzadeh, X Wu
arXiv preprint arXiv:2001.07766, 2020
42020
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
Clinical data sharing using generative adversarial networks
SM Ayyoubzadeh, SM Ayyoubzadeh, M Esmaeili
Conn Health Telemed 1 (3), 98-100, 2022
12022
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
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
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
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Articles 1–17