Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Seyed Mehdi Ayyoubzadeh"'
Autor:
Moloud Taheriyan, Seyed Mehdi Ayyoubzadeh, Mehdi Ebrahimi, Sharareh Rostam Niakan Kalhor, Amir Hossien Abooei, Marsa Gholamzadeh, Seyed Mohammad Ayyoubzadeh
Publikováno v:
Medical Journal of the Islamic Republic of Iran.
Publikováno v:
Connected Health. 1:98-100
Obtaining data is challenging for researchers, especially when it comes to medical data. Moreover, using medical data as there are concerns about privacy and confidentiality issues requires specific considerations. Generative models aim to learn data
Autor:
Xiaolin Wu, Seyed Mehdi Ayyoubzadeh
Publikováno v:
IEEE Transactions on Image Processing. 30:8836-8846
Given its nature of statistical inference, machine learning methods incline to downplay relatively rare events. But in many applications statistical outliers carry disproportional significance; they can, if being left without special treatment as of
Autor:
Wassim Hamidouche, Byungyeon Kang, Shuwei Shi, Yujiu Yang, Junlin Li, Pengfei Sun, Jose Costa Pereira, Kele Xu, Hiroaki Akutsu, Hai Wang, Koki Tsubota, Yiting Liao, William Thong, Hengliang Luo, Longtao Feng, Jingyu Guo, Yuqing Hou, Yu Qiao, Sung-Jun Yoon, Jimmy Ren, Tao Zhang, Yang Li, Bin Yi, Yifan Chen, Jinjin Gu, Ali Royat, Steven McDonagh, Shuhang Gu, Junwoo Lee, Kiyoharu Aizawa, Lehan Yang, Sewoong Ahn, Weihao Xia, Qingyan Bai, Haiyang Guo, Zirui Wang, Mingdeng Cao, Qing Zhang, Jiahao Wang, Wenming Yang, Sid Ahmed Fezza, Haoming Cai, Dounia Hammou, Ales Leonardis, Radu Timofte, Hengxing Cai, Manri Cheon, Seyed Mehdi Ayyoubzadeh, Chao Dong, Gwangjin Yoon
Publikováno v:
CVPR Workshops
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
Autor:
Ali Royat, Seyed Mehdi Ayyoubzadeh
Publikováno v:
CVPR Workshops
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
Autor:
Seyed Mehdi Ayyoubzadeh, Sharareh R. Niakan Kalhori, Seyed Mohammad Ayyoubzadeh, Hoda Zahedi, Mahnaz Ahmadi
Publikováno v:
JMIR Public Health and Surveillance
JMIR Public Health and Surveillance, Vol 6, Iss 2, p e18828 (2020)
JMIR Public Health and Surveillance, Vol 6, Iss 2, p e18828 (2020)
Background The 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 a
Autor:
Seyed Mohammad Ayyoubzadeh, Seyed Mehdi Ayyoubzadeh, Hoda Zahedi, Mahnaz Ahmadi, Sharareh R Niakan Kalhori
BACKGROUND The 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 a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfab3a93b3d858cc9187c136fe32bdef
https://doi.org/10.2196/preprints.18828
https://doi.org/10.2196/preprints.18828