Mehmet Akçakaya
Orcid: 0000-0001-6400-7736
According to our database1,
Mehmet Akçakaya
authored at least 74 papers
between 2007 and 2023.
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Bibliography
2023
Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies.
NeuroImage, April, 2023
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging.
IEEE Signal Process. Mag., 2023
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI.
CoRR, 2023
High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
2022
J. Signal Process. Syst., 2022
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective.
IEEE Signal Process. Mag., 2022
Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning.
NeuroImage, 2022
CoRR, 2022
Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Myocardial Approximate Spin-lock Dispersion Mapping using a Simultaneous $T_{2}$ and $T_{RAFF2}$ Mapping at 3T MRI.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Adiabatic spin-lock preparations enable robust in vivo cardiac $T_{1\rho}$-mapping at 3T.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing.
NeuroImage, 2021
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations.
CoRR, 2021
CoRR, 2021
Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking.
Proceedings of the IEEE International Conference on Acoustics, 2021
Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under load.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
IEEE Trans. Signal Process., 2020
Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T<sub>1</sub> Mapping.
IEEE Trans. Computational Imaging, 2020
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues.
IEEE Signal Process. Mag., 2020
A field-monitoring-based approach for correcting eddy-current-induced artifacts of up to the 2<sup>nd</sup> spatial order in human-connectome-project-style multiband diffusion MRI experiment at 7T: A pilot study.
NeuroImage, 2020
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms.
IEEE J. Sel. Top. Signal Process., 2020
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI.
CoRR, 2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data.
CoRR, 2019
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms.
CoRR, 2019
CoRR, 2019
Robust Online Spike Recovery for High-Density Electrode Recordings using Convolutional Compressed Sensing.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Improved Regularized Reconstruction for Simultaneous Multi-Slice Cardiac MRI T1 Mapping.
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
IEEE Trans. Signal Process., 2018
Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer.
IEEE Trans. Biomed. Eng., 2018
Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging.
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018
Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2015
IEEE Signal Process. Lett., 2015
2013
Distortion-based achievability conditions for joint estimation of sparse signals and measurement parameters from undersampled acquisitions.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
2011
IEEE Trans. Signal Process., 2011
Compressed Sensing With Wavelet Domain Dependencies for Coronary MRI: A Retrospective Study.
IEEE Trans. Medical Imaging, 2011
2010
IEEE Trans. Inf. Theory, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
2008
IEEE Trans. Signal Process., 2008
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008
2007
IEEE Signal Process. Lett., 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007