Author

M. Akcakaya

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

B. Yaman· 1 shared C. Johnson· 1 shared C. Shenoy· 1 shared C. Zhang· 1 shared E. O. Buko· 1 shared K. Ugurbil· 1 shared L. Dowdle· 1 shared M. Gulle· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioengineering

B. Yaman

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2 papers

Recent·Most cited

Locally low-rank denoising in transform domains

S. Moeller, E. O. Buko, S. P. Pathan, L. Dowdle, K. Ugurbil, C. Johnson, M. Akcakaya

This paper extends locally low-rank denoising techniques to transform domains, improving MR image denoising with fewer images.

bioRxiv · Nov 21, 2023 · PreprintScientific Communication & Education

High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI

O. B. Demirel, C. Zhang, B. Yaman, M. Gulle, C. Shenoy, T. Leiner, P. Kellman, M. Akcakaya

This paper introduces a zero-shot self-supervised physics-guided deep learning method for real-time cine cardiac MRI, showing improved performance over existing techniques in noise and aliasing reduction.

bioRxiv · Feb 13, 2023 · PreprintBioengineering