Mehmet Akçakaya
According to our database^{1},
Mehmet Akçakaya
authored at least 47 papers
between 2007 and 2020.
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Bibliography
2020
IEEE Trans. Signal Process., 2020
LowRank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T<sub>1</sub> Mapping.
IEEE Trans. Computational Imaging, 2020
DeepLearning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues.
IEEE Signal Process. Mag., 2020
A fieldmonitoringbased approach for correcting eddycurrentinduced artifacts of up to the 2<sup>nd</sup> spatial order in humanconnectomeprojectstyle multiband diffusion MRI experiment at 7T: A pilot study.
NeuroImage, 2020
Dense Recurrent Neural Networks for Accelerated MRI: HistoryCognizant Unrolling of Optimization Algorithms.
IEEE J. Sel. Top. Signal Process., 2020
SelfSupervised PhysicsGuided Deep Learning Reconstruction For HighResolution 3D LGE CMR.
CoRR, 2020
Improved Supervised Training of PhysicsGuided Deep Learning Image Reconstruction with MultiMasking.
CoRR, 2020
MultiMask SelfSupervised Learning for PhysicsGuided Neural Networks in Highly Accelerated MRI.
CoRR, 2020
CoRR, 2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A MultiInstitute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020
Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention  MICCAI 2020, 2020
SelfSupervised PhysicsBased Deep Learning MRI Reconstruction Without FullySampled Data.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
ScanSpecific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized SelfConsistent Framework.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
Improved Simultaneous MultiSlice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
HighFidelity Accelerated MRI Reconstruction by ScanSpecific FineTuning of PhysicsBased Neural Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
SelfSupervised Learning of PhysicsBased Reconstruction Neural Networks without FullySampled Reference Data.
CoRR, 2019
Dense Recurrent Neural Networks for Inverse Problems: HistoryCognizant Unrolling of Optimization Algorithms.
CoRR, 2019
CoRR, 2019
Robust Online Spike Recovery for HighDensity 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 MultiSlice 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
ScanSpecific 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
SubjectSpecific 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 MultiTask Deep Neural Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Fast GPU Implementation of a ScanSpecific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging.
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018
Accelerated Simultaneous MultiSlice MRI using SubjectSpecific 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
Multiscale locally lowrank noise reduction for highresolution dynamic quantitative cardiac MRI.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Locally LowRank tensor regularization for highresolution quantitative dynamic MRI.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in MultiSensor Adaptive Processing, 2017
2015
IEEE Signal Process. Lett., 2015
2013
CoRR, 2013
Distortionbased 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
CoRR, 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
CoRR, 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
Performance Study of Various Sparse Representation Methods Using Redundant Frames.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007