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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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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Circuit-based deep brain stimulation for Parkinson's disease
Vitek, J. L., Aman, J. E., Cooper, S., Darrow, D., Escobar Sanabria, D., Hayden, B. Y., Herman, A. B., Holker, E. G., Johnson, L. A., McGovern, R. A., Moeller, S., Netoff, T. I., Park, M. C., Patriat, R., Safo, S., Schrock, L. E., Wang, J., Watson, P. J., Widge, A. S. & Yacoub, E.
NIH NAT INST OF NEURO DISORDERS & STROKE
9/17/21 → 7/31/23
Project: Research project
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Rapid Comprehensive Cardiac MRI Exam for Diagnosis of Coronary Artery Disease
Akcakaya, M., Gurevich, S. G., Moeller, S. & Shenoy, C. N.
National Heart, Lung, and Blood Institute
5/26/20 → 4/30/25
Project: Research project
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Technology to Realize the Full Potential of UHF MRI
Ugurbil, K., Adriany, G., Akcakaya, M., Auerbach, E. J., Bolan, P. J., Chen, W., Eryaman, Y., Garwood, M., Ghose, G., Hayden, B. Y., Mangia, S., Marjanska, M., Metzger, G., Michaeli, S., Moeller, S., Van de Moortele, P. & Wu, X.
NIH NATL INST OF BIOMEDICAL IM
2/1/19 → 1/31/24
Project: Research project
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Elementary Neuronal Ensembles to Whole Brain Networks: U
Ugurbil, K., Adriany, G., Akcakaya, M., Auerbach, E. J., Kay, K. N., Lenglet, C., Moeller, S., Van de Moortele, P. & Wu, X.
NIH NATL INST OF BIOMEDICAL IM
9/30/17 → 6/30/23
Project: Research project
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Advanced Diffusion Imaging of Breast Cancer
Bolan, P. J., Auerbach, E. J., Moeller, S., Nelson, M. & Yacoub, E.
NIH NATIONAL CANCER INSTITUTE (NCI)
12/1/15 → 11/30/18
Project: Research project
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Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI
Zhang, C., Piccini, D., Demirel, O. B., Bonanno, G., Yaman, B., Stuber, M., Moeller, S. & Akcakaya, M., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, (2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Improved TSE imaging at ultrahigh field using nonlocalized efficiency RF shimming and acquisition modes optimized for refocused echoes (AMORE)
He, X., Schmidt, S., Zbýň, Š., Haluptzok, T., Moeller, S. & Metzger, G. J., Oct 2022, In: Magnetic resonance in medicine. 88, 4, p. 1702-1719 18 p.Research output: Contribution to journal › Article › peer-review
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Multi-mask self-supervised learning for physics-guided neural networks in highly accelerated magnetic resonance imaging
Yaman, B., Gu, H., Hosseini, S. A. H., Demirel, O. B., Moeller, S., Ellermann, J., Uğurbil, K. & Akçakaya, M., 2022, (Accepted/In press) In: NMR in biomedicine.Research output: Contribution to journal › Article › peer-review
Open Access -
Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning
Zhang, C., Moeller, S., Demirel, O. B., Uğurbil, K. & Akçakaya, M., Aug 1 2022, In: NeuroImage. 256, 119248.Research output: Contribution to journal › Article › peer-review
Open Access -
Revisiting ℓ1-wavelet compressed-sensing MRI in the era of deep learning
Gu, H., Yaman, B., Moeller, S., Ellermann, J., Ugurbil, K. & Akçakaya, M., Aug 16 2022, In: Proceedings of the National Academy of Sciences of the United States of America. 119, 33, e2201062119.Research output: Contribution to journal › Article › peer-review
Open Access