Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Mehmet Akcakaya"'
Autor:
Kerstin Hammernik, Thomas Kustner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akcakaya
Publikováno v:
IEEE Signal Processing Magazine. 40:98-114
Publikováno v:
IEEE Signal Process Mag
Recently, deep learning approaches have become the main research frontier for biological image reconstruction and enhancement problems thanks to their high performance, along with their ultra-fast inference times. However, due to the difficulty of ob
Autor:
Patrick J. Bolan, Sara L. Saunders, Kendrick Kay, Mitchell Gross, Mehmet Akcakaya, Gregory J. Metzger
This work seeks to evaluate multiple methods for quantitative parameter estimation from standard T2mapping acquisitions in the prostate. The T2estimation performance of methods based on neural networks (NN) was quantitatively compared to that of conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed826632bb2d04c77296e2bacf673d2f
https://doi.org/10.1101/2023.01.11.23284194
https://doi.org/10.1101/2023.01.11.23284194
Autor:
Joao, Tourais, Omer Burak, Demirel, Qian, Tao, Iain, Pierce, George D, Thornton, Thomas A, Treibel, Mehmet, Akcakaya, Sebastian, Weingartner
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Ischemic heart disease (IHD) is one of the leading causes of death worldwide. Myocardial infarction (MI) represents a third of all IHD cases, and cardiac magnetic resonance imaging (MRI) is often used to assess its damage to myocardial viability. Lat
Autor:
Chiara, Coletti, Joao, Tourais, Telly, Ploem, Christal, van de Steeg-Henzen, Mehmet, Akcakaya, Sebastian, Weingartner
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Magnetic Resonance Imaging (MRI) is the clinical gold standard for the assessment of myocardial viability but requires injection of exogenous gadolinium-based contrast agents. Recently, T
Autor:
Sebastian Weingärtner, Omer Demirel, Steen Moeller, Burhaneddin Yaman, Chetan Shenoy, Mehmet Akcakaya
Publikováno v:
Magnetic Resonance in Medicine, 89(1)
Purpose: To develop a physics-guided deep learning (PG-DL) reconstruction strategy based on a signal intensity informed multi-coil (SIIM) encoding operator for highly-accelerated simultaneous multislice (SMS) myocardial perfusion cardiac MRI (CMR). M
Autor:
Peter Kellman, Ingo Hermann, Mehmet Akcakaya, Lothar R. Schad, Sebastian Weingärtner, Omer Burak Demirel
Publikováno v:
Magnetic Resonance in Medicine. 86:1226-1240
Purpose To implement a free-breathing sequence for simultaneous quantification of T 1 , T 2 , and T 2 ∗ for comprehensive tissue characterization of the myocardium in a single scan using a multi-gradient-echo readout with saturation and T 2 prepara
Recent studies show that deep learning (DL) based MRI reconstruction outperforms conventional methods, such as parallel imaging and compressed sensing (CS), in multiple applications. Unlike CS that is typically implemented with pre-determined linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0991212d4360309b6dd26aba31a3dbd0
http://arxiv.org/abs/2204.07923
http://arxiv.org/abs/2204.07923
Autor:
Chi Zhang, Davide Piccini, Omer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akcakaya
Publikováno v:
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).
Publikováno v:
IEEE J Sel Top Signal Process
Inverse problems for accelerated MRI typically incorporate domain-specific knowledge about the forward encoding operator in a regularized reconstruction framework. Recently physics-driven deep learning (DL) methods have been proposed to use neural ne