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pro vyhledávání: '"Ayyoubzadeh, Seyed Mehdi"'
Autor:
Ayyoubzadeh, Seyed Mohammad, Ayyoubzadeh, Seyed Mehdi, Zahedi, Hoda, Ahmadi, Mahnaz, R Niakan Kalhori, Sharareh
Publikováno v:
JMIR Public Health and Surveillance, Vol 6, Iss 2, p e18828 (2020)
BackgroundThe recent global outbreak of coronavirus disease (COVID-19) is affecting many countries worldwide. Iran is one of the top 10 most affected countries. Search engines provide useful data from populations, and these data might be useful to an
Externí odkaz:
https://doaj.org/article/42c3476ada3c4aa7b2790ff73fdad939
Autor:
Ayyoubzadeh, Seyed Mehdi
In recent years, deep learning-based image restoration neural networks have become the methodology of choice, outperforming their traditional counterparts and being gradually adopted in all systems that process, store, or display images. Despite the
Externí odkaz:
http://hdl.handle.net/11375/28467
Autor:
Gu, Jinjin, Cai, Haoming, Dong, Chao, Ren, Jimmy S., Qiao, Yu, Gu, Shuhang, Timofte, Radu, Cheon, Manri, Yoon, Sungjun, Kang, Byungyeon, Lee, Junwoo, Zhang, Qing, Guo, Haiyang, Bin, Yi, Hou, Yuqing, Luo, Hengliang, Guo, Jingyu, Wang, Zirui, Wang, Hai, Yang, Wenming, Bai, Qingyan, Shi, Shuwei, Xia, Weihao, Cao, Mingdeng, Wang, Jiahao, Chen, Yifan, Yang, Yujiu, Li, Yang, Zhang, Tao, Feng, Longtao, Liao, Yiting, Li, Junlin, Thong, William, Pereira, Jose Costa, Leonardis, Ales, McDonagh, Steven, Xu, Kele, Yang, Lehan, Cai, Hengxing, Sun, Pengfei, Ayyoubzadeh, Seyed Mehdi, Royat, Ali, Fezza, Sid Ahmed, Hammou, Dounia, Hamidouche, Wassim, Ahn, Sewoong, Yoon, Gwangjin, Tsubota, Koki, Akutsu, Hiroaki, Aizawa, Kiyoharu
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021. As a new type of image processing techno
Externí odkaz:
http://arxiv.org/abs/2105.03072
Autor:
Ayyoubzadeh, Seyed Mehdi, Royat, Ali
Recently, deep convolutional neural networks (DCNN) that leverage the adversarial training framework for image restoration and enhancement have significantly improved the processed images' sharpness. Surprisingly, although these DCNNs produced crispi
Externí odkaz:
http://arxiv.org/abs/2105.02531
Autor:
Ayyoubzadeh, Seyed Mehdi, Wu, Xiaolin
We present a CNN-based predictive lossless compression scheme for raw color mosaic images of digital cameras. This specialized application problem was previously understudied but it is now becoming increasingly important, because modern CNN methods f
Externí odkaz:
http://arxiv.org/abs/2001.10484
Autor:
Ayyoubzadeh, Seyed Mehdi, Wu, Xiaolin
Single Image Super-Resolution (SISR) task refers to learn a mapping from low-resolution images to the corresponding high-resolution ones. This task is known to be extremely difficult since it is an ill-posed problem. Recently, Convolutional Neural Ne
Externí odkaz:
http://arxiv.org/abs/2001.07766
Autor:
Ayyoubzadeh, Seyed Mehdi, Wu, Xiaolin
Regularization techniques are widely used to improve the generality, robustness, and efficiency of deep convolutional neural networks (DCNNs). In this paper, we propose a novel approach of regulating DCNN convolutional kernels by a structured filter
Externí odkaz:
http://arxiv.org/abs/1907.11110
Akademický článek
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Akademický článek
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Autor:
Taheriyan M; Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran., Ayyoubzadeh SM; Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada., Ebrahimi M; Department of Internal Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran., R Niakan Kalhori S; Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.; Peter L. Reichertz Institute for Medical Informatics (PLRI) of Technical University of Braunschweig and Hannover Medical School, Braunschweig, Germany., Abooei AH; Department of Laboratory Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran., Gholamzadeh M; Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.; Thoracic Research Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran., Ayyoubzadeh SM; Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Publikováno v:
Medical journal of the Islamic Republic of Iran [Med J Islam Repub Iran] 2022 Nov 29; Vol. 36, pp. 144. Date of Electronic Publication: 2022 Nov 29 (Print Publication: 2022).