Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Mohammad Tofighi"'
Autor:
Mohammad Hossein Kariminasab, Mehran Razavipour, Salman Ghaffari, Mohammad Tofighi, Mohammad Zabihi, Fatemeh Mohammadnezhad
Publikováno v:
Journal of Mazandaran University of Medical Sciences, Vol 27, Iss 152, Pp 192-196 (2017)
Background and purpose: Despite numerous advances in diagnosis and treatment of diseases, complaints against doctors and medical assistants are increasing. The aim of this study was to investigate the complaints of patients against orthopedic surgeon
Externí odkaz:
https://doaj.org/article/49858604430343528e59a25ba6ca5677
Publikováno v:
IEEE Transactions on Computational Imaging. 6:666-681
Blind image deblurring remains a topic of enduring interest. Learning based approaches, especially those that employ neural networks have emerged to complement traditional model based methods and in many cases achieve vastly enhanced performance. Tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c7ec2dc4a7a31915335038f3f9c6260
https://doi.org/10.1109/tci.2020.2964202
https://doi.org/10.1109/tci.2020.2964202
Autor:
Mortaza Raeisi, Mehdi Yousefi, Javad Ahmadian Haris, Shahla Danaii, Mohammad Tofighifard, Pouya Bahlouli, leili Aghebati-Maleki
Publikováno v:
مجله پزشکی دانشگاه علوم پزشکی تبریز, Vol 46, Iss 1, Pp 19-28 (2024)
Background. Recurrent pregnancy loss is defined as at least two consecutive clinical pregnancy losses before 20th week of gestation. In this study, we investigated microRNA-1 and microRNA-1229 in recurrent miscarriage patients before and after lympho
Externí odkaz:
https://doaj.org/article/2d667c08644c47daa8e1129e351af561
Autor:
A. Enis Cetin, Mohammad Tofighi, Efe Ilicak, Tolga Çukur, Emine Ulku Saritas, Mohammad Shahdloo
Publikováno v:
IEEE Transactions on Medical Imaging
The compressed sensing (CS) framework leverages the sparsity of MR images to reconstruct from undersampled acquisitions. CS reconstructions involve one or more regularization parameters that weigh sparsity in transform domains against fidelity to acq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aefe8e94dfe25e649da0c039f627018d
https://ora.ox.ac.uk/objects/uuid:28a88482-dbc6-4bf5-b838-3bf3bd369ace
https://ora.ox.ac.uk/objects/uuid:28a88482-dbc6-4bf5-b838-3bf3bd369ace
Autor:
Seungjun Nah, Ke Yu, Thomas S. Huang, Kelvin C.K. Chan, Fan Hongfei, Mohammad Tofighi, Ji Soo Kim, Muhammad Haris, Chen Change Loy, Chao Dong, Aditya Arora, Zhang Wenjie, Jeonghun Kim, Yuchen Fan, Zhang Yumei, Vishal Chudasama, Li Guo, Fahad Shahbaz Khan, Munchurl Kim, Ding Liu, Radu Timofte, Qingwen He, Se Young Chun, Tiantong Guo, Sanghyun Son, Kuldeep Purohit, Kishor Upla, Rahul Kumar Gupta, Dong-won Park, Vishal Monga, Xiang Li, Ling Shao, Syed Waqas Zamir, Heena Patel, Wang Xintao, Norimichi Ukita, Hyeonjun Sim, Sungyong Baik, Salman Khan, Jiahui Yu, A.N. Rajagopalan, Gyeongsik Moon, Greg Shakhnarovich, Kyoung Mu Lee, Seokil Hong
Publikováno v:
CVPR Workshops
This paper reviews the first NTIRE challenge on video deblurring (restoration of rich details and high frequency components from blurred video frames) with focus on the proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5c9ac0e0f7e45d0b42d5a77698ea971
https://doi.org/10.1109/cvprw.2019.00249
https://doi.org/10.1109/cvprw.2019.00249
Cell nuclei detection is a challenging research topic because of limitations in cellular image quality and diversity of nuclear morphology, i.e. varying nuclei shapes, sizes, and overlaps between multiple cell nuclei. This has been a topic of endurin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df28576fb96f447aab07d5ff039e2f82
Publikováno v:
ICASSP
While neural networks have achieved vastly enhanced performance over traditional iterative methods in many cases, they are generally empirically designed and the underlying structures are difficult to interpret. The algorithm unrolling approach has h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f40b24cd93f99dcdebc1821d23805e95
We study the problem of image alignment for panoramic stitching. Unlike most existing approaches that are feature-based, our algorithm works on pixels directly, and accounts for errors across the whole images globally. Technically, we formulate the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3269d9bc541a19aa7bfe6effcc7cf9d4
Publikováno v:
ICIP
Detection of cell nuclei in microscopic images is a challenging research topic, because of limitations in cellular image quality and diversity of nuclear morphology, i.e. varying nuclei shapes, sizes, and overlaps between multiple cell nuclei. This h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::630546e97a4cde8fa6ea96a3bdb80f99
https://doi.org/10.1109/icip.2018.8451797
https://doi.org/10.1109/icip.2018.8451797
Publikováno v:
Signal, Image and Video Processing
In this article, a novel algorithm for denoising images corrupted by impulsive noise is presented. Impulsive noise generates pixels whose gray level values are not consistent with the neighboring pixels. The proposed denoising algorithm is a two-step
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01f00b153c0bd32f8ebeff71a50431a6
https://doi.org/10.1007/s11760-015-0827-8
https://doi.org/10.1007/s11760-015-0827-8