Projects per year
Personal profile
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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Collaborations and top research areas from the last five years
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Technology to Realize the Full Potential of UHF MRI
Metzger, G., Adriany, G., Akcakaya, M., Auerbach, E. J., Bolan, P. J., Chen, W., Eryaman, Y., Hong, M., Idiyatullin, D. S., Kannan, M., Kerlin, A. M., Kobayashi, N., Li, X., Mangia, S., Michaeli, S., Moeller, S., Sadeghi Tarakameh, A., Tousi, Y. M., Ugurbil, K., Wu, X. & Zimmermann, J.
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., Akcakaya, M., Harel, N., Pengo, T., Pisharady, P. K., Sanders, M. A., Akkin, T., Fair, D. A., Heilbronner, S. R., Lenglet, C., Yacoub, E. & Zimmermann, J.
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., Akcakaya, M., Auerbach, E. J., Bolan, P. J., Chen, C. C. & Hodges, J. S.
NIH NATL INST OF BIOMEDICAL IM
9/8/23 → 8/31/27
Project: Research project
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Siemens Research Agreement Addendum
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
NIH NATL INST OF BIOMEDICAL IM
3/15/23 → 2/28/27
Project: Research project
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Unsupervised deep learning with convolutional neural networks for static parallel transmit design: A retrospective study
Kilic, T., Liebig, P., Demirel, O. B., Herrler, J., Nagel, A. M., Ugurbil, K. & Akçakaya, M., 2024, (Accepted/In press) In: Magnetic resonance in medicine.Research output: Contribution to journal › Article › peer-review
Open Access -
Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies
Dowdle, L. T., Vizioli, L., Moeller, S., Akçakaya, M., Olman, C., Ghose, G., Yacoub, E. & Uğurbil, K., Apr 15 2023, In: NeuroImage. 270, 119949.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI
Demirel, O. B., Zhang, C., Yaman, B., Gulle, M., Shenoy, C., Leiner, T., Kellman, P. & Akcakaya, M., 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction
Gulle, M., Demirel, O. B., Dowdle, L., Moeller, S., Yacoub, E., Ugurbil, K. & Akcakaya, M., 2023, 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023. Institute of Electrical and Electronics Engineers Inc., p. 196-200 5 p. (2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning
Demirel, Ö. B., Moeller, S., Vizioli, L., Yaman, B., Dowdle, L., Yacoub, E., Uǧurbil, K. & Akçakaya, M., 2023, 11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings. IEEE Computer Society, (International IEEE/EMBS Conference on Neural Engineering, NER; vol. 2023-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution