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Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework.

S. Hosseini, B. Yaman, C. Zhang, K. Ugurbil, S. Moeller, and M. Akçakaya. ISBI Workshops, page 1-4. IEEE, (2020)

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Sibel Yaman

Sabahattin Yaman

Burhaneddin Kâmil

Kemal Yaman

Hakan Yaman

Other publications of authors with the same name

Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR.B. Yaman, C. Shenoy, Z. Deng, S. Moeller, H. El-Rewaidy, R. Nezafat, and M. Akçakaya. CoRR, (2020)Object Detection for Autonomous Dozers.C. Liu, and B. Yaman. CoRR, (2022)Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI.C. Zhang, D. Piccini, Ö. Demirel, G. Bonanno, B. Yaman, M. Stuber, S. Moeller, and M. Akçakaya. ISBI, page 1-5. IEEE, (2022)Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR.B. Yaman, C. Shenoy, Z. Deng, S. Moeller, H. El-Rewaidy, R. Nezafat, and M. Akçakaya. ISBI, page 100-104. IEEE, (2021)Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools.H. Gu, B. Yaman, K. Ugurbil, S. Moeller, and M. Akçakaya. EMBC, page 3596-3600. IEEE, (2021)20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction.Ö. Demirel, B. Yaman, L. Dowdle, S. Moeller, L. Vizioli, E. Yacoub, J. Strupp, C. Olman, K. Ugurbil, and M. Akçakaya. EMBC, page 3765-3769. IEEE, (2021)PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference.T. Mahmud, B. Yaman, C. Liu, and D. Marculescu. CoRR, (2024)Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data.B. Yaman, S. Hosseini, S. Moeller, J. Ellermann, K. Ugurbil, and M. Akçakaya. CoRR, (2019)Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T1 Mapping.B. Yaman, S. Weingärtner, N. Kargas, N. Sidiropoulos, and M. Akçakaya. IEEE Trans. Computational Imaging, (2020)Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data.B. Yaman, S. Hosseini, S. Moeller, J. Ellermann, K. Ugurbil, and M. Akçakaya. ISBI, page 921-925. IEEE, (2020)

BibSonomy

Disambiguation of "Yaman, Burhaneddin"

copy delete add this publication to your clipboard
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URL
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Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework.

Please choose a person to relate this publication to

Sibel Yaman

Sabahattin Yaman

Burhaneddin Kâmil

Kemal Yaman

Hakan Yaman

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yaman, Burhaneddin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework.

Please choose a person to relate this publication to

Sibel Yaman

Sabahattin Yaman

Burhaneddin Kâmil

Kemal Yaman

Hakan Yaman

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework.