Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Obaidullah Rahman"'
Autor:
Obaidullah Rahman, Ken D. Sauer, Madhuri Nagare, Charles A. Bouman, Roman Melnyk, Jie Tang, Brian Nett
Publikováno v:
7th International Conference on Image Formation in X-Ray Computed Tomography.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce7d1f28eda677c0e335029130cbc19e
https://doi.org/10.1117/12.2646473
https://doi.org/10.1117/12.2646473
Autor:
Madhuri Nagare, Jie Tang, Obaidullah Rahman, Brian Nett, Roman Melnyk, Ken D. Sauer, Charles A. Bouman
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0303fcd3e686775b320e9c52c09f3ad8
https://doi.org/10.1109/icip46576.2022.9897227
https://doi.org/10.1109/icip46576.2022.9897227
Autor:
Haoran Yu, Michael J. Zachman, Obaidullah Rahman, Amirkoushyar Ziabari, Jose Arregui Mena, Singanallur Venkatakrishnan, David A. Cullen
Publikováno v:
ECS Meeting Abstracts. :1550-1550
Fuel cell electric vehicles (FCEVs) powered by proton exchange membrane fuel cells (PEMFCs) offer a sustainable, low-carbon alternative to the world’s current energy structure based on fossil fuels. Recently, application of PEMFC to heavy-duty vehi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b9dfeab8a7aa33eff1f9c9a12800bd5
https://doi.org/10.1149/ma2022-02421550mtgabs
https://doi.org/10.1149/ma2022-02421550mtgabs
Publikováno v:
ICASSP
There is growing interest in the use of deep neural network (DNN) based image denoising to reduce patient’s X-ray dosage in medical computed tomography (CT). An effective denoiser must remove noise while maintaining the texture and detail. Commonly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd1eeaf9f074a5aaa95323524c143803
https://doi.org/10.1109/icassp39728.2021.9413855
https://doi.org/10.1109/icassp39728.2021.9413855
Publikováno v:
Medical Imaging 2021: Physics of Medical Imaging.
Low x-ray dose is desirable in x-ray computed tomographic (CT) imaging due to health concerns. But low dose comes with a cost of low signal artifacts such as streaks and low frequency bias in the reconstruction. As a result, low signal correction is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cda4aaf6bd5688af55f4351292867aa
https://doi.org/10.1117/12.2581032
https://doi.org/10.1117/12.2581032