Zobrazeno 1 - 10
of 1 435
pro vyhledávání: '"Ahmad Rizwan"'
Autor:
Serafi Abdulhalim S., Ahmed Muhammad, Shahid Imran, Azmat Aisha, Bader Ammar, Bafail Mohammed A., Alaamri Shalan, Ahmad Rizwan
Publikováno v:
Open Chemistry, Vol 22, Iss 1, Pp 434-49 (2024)
Aloe species are known for the treatment of various conditions including diabetes mellitus, hypocholesteremia, and glycation end products. Nevertheless, the biological activity of Aloe armatissima is yet to be reported. It is a first-time report to e
Externí odkaz:
https://doaj.org/article/5433663d2b4c44638fab525c7af9c0c3
Publikováno v:
Buildings, Vol 14, Iss 2, p 382 (2024)
The article presents the progress and applications of ultra-high-performance concrete (UHPC), a revolutionary material in modern construction that offers unparalleled strength, durability, and sustainability. The overview includes the historical deve
Externí odkaz:
https://doaj.org/article/ae2bdf1f9ddf4c02a69bd0ace45e754d
Purpose: To perform image registration and averaging of multiple free-breathing single-shot cardiac images, where the individual images may have a low signal-to-noise ratio (SNR). Methods: To address low SNR encountered in single-shot imaging, especi
Externí odkaz:
http://arxiv.org/abs/2409.02348
In imaging inverse problems, one seeks to recover an image from missing/corrupted measurements. Because such problems are ill-posed, there is great motivation to quantify the uncertainty induced by the measurement-and-recovery process. Motivated by a
Externí odkaz:
http://arxiv.org/abs/2405.18527
Autor:
Chen, Chong, Liu, Yingmin, Ding, Yu, Tong, Matthew, Chandrasekaran, Preethi, Crabtree, Christopher, Arshad, Syed M., Han, Yuchi, Ahmad, Rizwan
Background: Accelerated real-time cine (RT-Cine) imaging enables cardiac function assessment without the need for breath-holding. However, when performed during in-magnet exercise, RT-Cine images may exhibit significant motion artifacts. Methods: By
Externí odkaz:
http://arxiv.org/abs/2405.16715
Autor:
Chandrasekaran, Preethi, Chen, Chong, Liu, Yingmin, Arshad, Syed Murtaza, Crabtree, Christopher, Tong, Matthew, Han, Yuchi, Ahmad, Rizwan
Background: Cardiovascular magnetic resonance imaging (CMR) is a wellestablished imaging tool for diagnosing and managing cardiac conditions. The integration of exercise stress with CMR (ExCMR) can enhance its diagnostic capacity. Despite recent adva
Externí odkaz:
http://arxiv.org/abs/2402.17877
High-quality training data are not always available in dynamic MRI. To address this, we propose a self-supervised deep learning method called deep image prior with structured sparsity (DISCUS) for reconstructing dynamic images. DISCUS is inspired by
Externí odkaz:
http://arxiv.org/abs/2312.00953
Modern MRI scanners utilize one or more arrays of small receive-only coils to collect k-space data. The sensitivity maps of the coils, when estimated using traditional methods, differ from the true sensitivity maps, which are generally unknown. Conse
Externí odkaz:
http://arxiv.org/abs/2312.00936
Autor:
Arshad, Syed M., Potter, Lee C., Chen, Chong, Liu, Yingmin, Chandrasekaran, Preethi, Crabtree, Christopher, Tong, Matthew S., Simonetti, Orlando P., Han, Yuchi, Ahmad, Rizwan
Publikováno v:
Magnetic Resonance in Medicine 92(3) (2024) 1248-1262
PURPOSE: To present and assess an outlier mitigation method that makes free-running volumetric cardiovascular MRI (CMR) more robust to motion. METHODS: The proposed method, called compressive recovery with outlier rejection (CORe), models outliers in
Externí odkaz:
http://arxiv.org/abs/2308.02088
Accelerated magnetic resonance (MR) imaging attempts to reduce acquisition time by collecting data below the Nyquist rate. As an ill-posed inverse problem, many plausible solutions exist, yet the majority of deep learning approaches generate only a s
Externí odkaz:
http://arxiv.org/abs/2306.01630