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Fingerprint 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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Projects 2015 2022

Research Output 2005 2019

Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer

Hosseini, S. A., Sohrabpour, A., Akcakaya, M. & He, B., Jul 23 2018, (Accepted/In press) In : IEEE Transactions on Biomedical Engineering.

Research output: Contribution to journalArticle

Brain
Lead
Imaging techniques
Electroencephalography
Uncertainty

Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks

Zhang, L., Karanikolas, G. V., Akcakaya, M. & Giannakis, G. B., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-April. p. 6677-6681 5 p. 8461556

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pathology
Magnetic resonance
Network architecture
Deep neural networks

Impact of Cardiovascular Magnetic Resonance Imaging on Identifying the Etiology of Cardiomyopathy in Patients Undergoing Cardiac Transplantation

Lin, L. Q., Kazmirczak, F., Chen, K. H. A., Okasha, O., Nijjar, P. S., Martin, C. M., Akcakaya, M., Farzaneh-Far, A. & Shenoy, C. N., Dec 1 2018, In : Scientific reports. 8, 1, 16212.

Research output: Contribution to journalArticle

Heart Transplantation
Cardiomyopathies
Magnetic Resonance Imaging
Transplantation
Cohort Studies

Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI

Yaman, B., Weingärtner, S., Kargas, N., Sidiropoulos, N. D. & Akçakaya, M., Mar 9 2018, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-December. p. 1-5 5 p. 8313075

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tensor Rank
Magnetic resonance imaging
Tensors
Regularization
High Resolution

Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging

Akcakaya, M., Moeller, S., Weingärtner, S. & Ugurbil, K., Jan 1 2018, (Accepted/In press) In : Magnetic resonance in medicine. 81, 1, p. 439-453 15 p.

Research output: Contribution to journalArticle

Learning
Databases
Noise
Imaging Phantoms
Neuroimaging