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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Technology to Realize the Full Potential of UHF MRI
Metzger, G. (PI), Adriany, G. (CoI), Akcakaya, M. (CoI), Auerbach, E. J. (CoI), Bolan, P. J. (CoI), Chen, W. (CoI), Eryaman, Y. (CoI), Hong, M. (CoI), Idiyatullin, D. S. (CoI), Kannan, M. (CoI), Kerlin, A. M. (CoI), Kobayashi, N. (CoI), Li, X. (CoI), Mangia, S. (CoI), Michaeli, S. (CoI), Moeller, S. (CoI), Sadeghi Tarakameh, A. (CoI), Tousi, Y. M. (CoI), Ugurbil, K. (CoI), Wu, X. (CoI) & Zimmermann, J. (CoI)
NIH NATL INST OF BIOMEDICAL IM
2/1/24 → 1/31/29
Project: Research project
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Center for Mesoscale Connectomics: A Multimodal, Cross-species Approach
Ugurbil, K. (PI), Akcakaya, M. (CoI), Harel, N. (CoI), Pengo, T. (CoI), Pisharady, P. K. (CoI), Sanders, M. A. (CoI), Akkin, T. (Co-Principal Investigator), Fair, D. A. (Co-Principal Investigator), Heilbronner, S. R. (Co-Principal Investigator), Lenglet, C. (Co-Principal Investigator), Yacoub, E. (Co-Principal Investigator) & Zimmermann, J. (Co-Principal Investigator)
NIH NAT INST OF NEURO DISORDERS & STROKE
9/15/23 → 8/31/28
Project: Research project
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Full-stack automation for reliable and reproducible MRS of brain cancer
Marjanska, M. (PI), Akcakaya, M. (CoI), Auerbach, E. J. (CoI), Bolan, P. J. (CoI), Chen, C. C. (CoI) & Hodges, J. S. (CoI)
NIH NATL INST OF BIOMEDICAL IM
9/8/23 → 8/31/27
Project: Research project
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Siemens Research Agreement Addendum
Akcakaya, M. (PI)
SIEMENS MEDICAL SOLUTIONS USA, INC.
6/26/23 → 4/30/26
Project: Research project
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Robust and Efficient Learning of High-Resolution Brain MRI Reconstruction from Small Referenceless Data
Akcakaya, M. (PI)
NIH NATL INST OF BIOMEDICAL IM
3/15/23 → 2/28/27
Project: Research project
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Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
Alçalar, Y. U. & Akçakaya, M., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 444-460 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15141 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Convex Compressibility-Inspired Unsupervised Loss Function for Physics-Driven Deep Learning Reconstruction
Alcalar, Y. U., Gulle, M. & Akcakaya, M., 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Cycle-Consistent Self-Supervised Learning for Improved Highly-Accelerated MRI Reconstruction
Zhang, C., Demirel, O. B. & Akcakaya, M., 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Feasibility of relaxation along a fictitious field in the 2nd rotating frame (TRAFF2) mapping in the human myocardium at 3 T
Tourais, J., Božić-Iven, M., Zhao, Y., Tao, Q., Pierce, I., Nitsche, C., Thornton, G. D., Schad, L. R., Treibel, T. A., Weingärtner, S. & Akçakaya, M., 2024, In: Frontiers in Cardiovascular Medicine. 11, 1373240.Research output: Contribution to journal › Article › peer-review
Open Access -
Improved quantitative parameter estimation for prostate T2 relaxometry using convolutional neural networks
Bolan, P. J., Saunders, S. L., Kay, K., Gross, M., Akcakaya, M. & Metzger, G. J., Aug 2024, In: Magnetic Resonance Materials in Physics, Biology and Medicine. 37, 4, p. 721-735 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations