Zobrazeno 1 - 10
of 3 840
pro vyhledávání: '"Yurt A"'
Autor:
Zhang, Chi, Loecher, Michael, Alkan, Cagan, Yurt, Mahmut, Vasanawala, Shreyas S., Ennis, Daniel B.
In recent years, machine learning (ML) based reconstruction has been widely investigated and employed in cardiac magnetic resonance (CMR) imaging. ML-based reconstructions can deliver clinically acceptable image quality under substantially accelerate
Externí odkaz:
http://arxiv.org/abs/2411.10403
Autor:
Atli, Omer F., Kabas, Bilal, Arslan, Fuat, Demirtas, Arda C., Yurt, Mahmut, Dalmaz, Onat, Çukur, Tolga
In recent years, deep learning models comprising transformer components have pushed the performance envelope in medical image synthesis tasks. Contrary to convolutional neural networks (CNNs) that use static, local filters, transformers use self-atte
Externí odkaz:
http://arxiv.org/abs/2405.14022
Segmentation of three-dimensional (3D) point clouds is an important task for autonomous systems. However, success of segmentation algorithms depends greatly on the quality of the underlying point clouds (resolution, completeness etc.). In particular,
Externí odkaz:
http://arxiv.org/abs/2311.13997
Magnetic resonance imaging (MRI) is a common and life-saving medical imaging technique. However, acquiring high signal-to-noise ratio MRI scans requires long scan times, resulting in increased costs and patient discomfort, and decreased throughput. T
Externí odkaz:
http://arxiv.org/abs/2302.03018
Autor:
YURT, İrfan1 irfanyurt@karabuk.edu.tr
Publikováno v:
Urban Academy/ Kent Akademisi. 2024, Vol. 17 Issue 4, p1531-1544. 14p.
Autor:
Numan Yurt
Publikováno v:
Nubihar Akademi, Iss 21, Pp 35-62 (2024)
Di vê gotarê de wek şêwazeke edebî şeş elîfnameyên edebiyata kurdî (kurmancî) hatine danasîn û elîfnameya Siyahpoş û Şêx Ehmedê Feqîr bi hûrgilî hatine vekolan. Elîfnameya Siyahpoş, Şêx Ehmedê Feqîr, Weda‘î û Ce‘ferq
Externí odkaz:
https://doaj.org/article/d588156796444896b031304acb8dc54c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract In this study, in order to characterize the buried object via deep-learning-based surrogate modeling approach, 3-D full-wave electromagnetic simulations of a GPR model have been used. The task is to independently predict characteristic param
Externí odkaz:
https://doaj.org/article/08d3ca1e70f04b52b7017fda1a229bd2
Publikováno v:
In Journal of Building Engineering 1 October 2024 94
Publikováno v:
In Journal of Inorganic Biochemistry March 2025 264
Autor:
Sert, Buse, Kaya, Gul, Akçay Tataroglu, Aleyna, Harputlu, Ersan, Şimşek, Telem, Tekgül, Atakan, Gokhan Unlu, C., Yurt, Fatma, Ocakoglu, Kasim
Publikováno v:
In Applied Surface Science 30 January 2025 680