Mehmet Akçakaya - researchr alias

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Viewing Publication 1 - 67 from 67

2024

Uncertainty-Guided Physics-Driven Deep Learning Reconstruction via Cyclic Measurement ConsistencyChi Zhang 0057, Mehmet Akçakaya. icassp 2024: 13441-13445 [doi]

Cycle-Consistent Self-Supervised Learning for Improved Highly-Accelerated MRI ReconstructionChi Zhang 0057, Omer Burak Demirel, Mehmet Akçakaya. isbi 2024: 1-5 [doi]

A Convex Compressibility-Inspired Unsupervised Loss Function for Physics-Driven Deep Learning ReconstructionYasar Utku Alçalar, Merve Gülle, Mehmet Akçakaya. isbi 2024: 1-5 [doi]

Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsYasar Utku Alçalar, Mehmet Akçakaya. eccv 2025: 444-460 [doi]

Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRIHongyi Gu, Chi Zhang 0057, Zidan Yu, Christoph Rettenmeier, V. Andrew Stenger, Mehmet Akçakaya. isbi 2024: 1-5 [doi]

Robust Outer Volume Subtraction with Deep Learning Ghosting Detection for Highly-Accelerated Real-Time Dynamic MRIMerve Gülle, Mehmet Akçakaya. isbi 2024: 1-5 [doi]

Towards Fast Hard-Constrained Parallel Transmit Design in Ultrahigh Field MRI with Physics-Driven Neural NetworksToygan Kilic, Jürgen Herrler, Patrick Liebig, Ömer Burak Demirel, Armin M. Nagel, Mingyi Hong 0001, Georgios B. Giannakis, Kâmil Ugurbil, Mehmet Akçakaya. isbi 2024: 1-5 [doi]

Physics-Driven Deep Learning Reconstruction of Frequency-Modulated Rabi-Encoded Echoes for Faster Accessible MRIMahdi Saberi, Parker Jenkins, Michael Garwood, Mehmet Akçakaya. embc 2024: 1-5 [doi]

2023

Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategiesLogan Dowdle, Luca Vizioli, Steen Moeller, Mehmet Akçakaya, Cheryl Olman, Geoffrey Ghose, Essa Yacoub, Kâmil Ugurbil. neuroimage, 270:119949, April 2023. [doi]

Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning ReconstructionMerve Gülle, Ömer Burak Demirel, Logan Dowdle, Steen Moeller, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya. camsap 2023: 196-200 [doi]

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imagingKerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya. spm, 40(1):98-114, 2023. [doi]

High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRIÖmer Burak Demirel, Chi Zhang 0057, Burhaneddin Yaman, Merve Gulle, Chetan Shenoy, Tim Leiner, Peter Kellman, Mehmet Akçakaya. embc 2023: 1-4 [doi]

High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep LearningÖmer Burak Demirel, Steen Moeller, Luca Vizioli, Burhaneddin Yaman, Logan Dowdle, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya. ner 2023: 1-6 [doi]

2022

Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learningChi Zhang 0057, Steen Moeller, Omer Burak Demirel, Kâmil Ugurbil, Mehmet Akçakaya. neuroimage, 256:119248, 2022. [doi]

Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspectiveMehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye. spm, 39(2):28-44, 2022. [doi]

Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRISyed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci. vlsisp, 94(5):497-510, 2022. [doi]

Adiabatic spin-lock preparations enable robust in vivo cardiac $T_{1\rho}$-mapping at 3TChiara Coletti, Joao Tourais, Telly Ploem, Christal van de Steeg-Henzen, Mehmet Akçakaya, Sebastian Weingärtner. embc 2022: 1690-1693 [doi]

Myocardial Approximate Spin-lock Dispersion Mapping using a Simultaneous $T_{2}$ and $T_{RAFF2}$ Mapping at 3T MRIJoao Tourais, Omer Burak Demirel, Qian Tao, Iain Pierce, George D. Thornton, Thomas A. Treibel, Mehmet Akçakaya, Sebastian Weingärtner. embc 2022: 1694-1697 [doi]

Zero-Shot Self-Supervised Learning for MRI ReconstructionBurhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya. iclr 2022: [doi]

Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRIChi Zhang, Davide Piccini, Omer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akçakaya. isbi 2022: 1-5 [doi]

Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRIÖmer Burak Demirel, Burhaneddin Yaman, Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya. embc 2022: 1472-1476 [doi]

2021

Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under loadJaap Boon, Telly Ploem, Cole S. Simpson, Ingo Hermann, Mehmet Akçakaya, Edwin H. Oei, Amir Abbas Zadpoor, Nazli Tümer, Tom M. Piscaer, Joao Tourais, Sebastian Weingärtner. embc 2021: 3721-3724 [doi]

20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning ReconstructionOmer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya. embc 2021: 3765-3769 [doi]

Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep LearningOmer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya. acssc 2021: 890-894 [doi]

Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small DatabasesZilin Deng, Burhaneddin Yaman, Chi Zhang, Steen Moeller, Mehmet Akçakaya. acssc 2021: 886-889 [doi]

Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science ToolsHongyi Gu, Burhaneddin Yaman, Kamil Ugurbil, Steen Moeller, Mehmet Akçakaya. embc 2021: 3596-3600 [doi]

NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processingSteen Moeller, Pramod Kumar Pisharady, Sudhir Ramanna, Christophe Lenglet, Xiaoping Wu, Logan Dowdle, Essa Yacoub, Kamil Ugurbil, Mehmet Akçakaya. neuroimage, 226:117539, 2021. [doi]

Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-MaskingBurhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya. icassp 2021: 1150-1154 [doi]

Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMRBurhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya. isbi 2021: 100-104 [doi]

Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRIBurhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya. isbi 2021: 1850-1854 [doi]

Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial PerturbationsChi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu 0001, Mingyi Hong, Mehmet Akçakaya. acssc 2021: 895-899 [doi]

2020

Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain CancerPatrick J. Bolan, Francesca Branzoli, Anna Luisa Di Stefano, Lucia Nichelli, Romain Valabrègue, Sara L. Saunders, Mehmet Akçakaya, Marc Sanson, Stéphane Lehéricy, Malgorzata Marjanska. miccai 2020: 730-739 [doi]

High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural NetworksSeyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya. embc 2020: 1481-1484 [doi]

Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization AlgorithmsSeyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya. jstsp, 14(6):1280-1291, 2020. [doi]

Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent FrameworkSeyed Amir Hossein Hosseini, Burhaneddin Yaman, Chi Zhang, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya. isbi 2020: 1-4 [doi]

Tensor Completion From Regular Sub-Nyquist SamplesCharilaos I. Kanatsoulis, Xiao Fu 0001, Nicholas D. Sidiropoulos, Mehmet Akçakaya. tsp, 68:1-16, 2020. [doi]

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and IssuesFlorian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya. spm, 37(1):128-140, 2020. [doi]

nd spatial order in human-connectome-project-style multiband diffusion MRI experiment at 7T: A pilot studyRuoyun Ma, Mehmet Akçakaya, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Pierre-François van de Moortele. neuroimage, 216:116861, 2020. [doi]

Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled DataBurhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya. isbi 2020: 921-925 [doi]

1 MappingBurhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya. tci, 6:194-207, 2020. [doi]

Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized ReconstructionÖmer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya. isbi 2020: 1954-1957 [doi]

2019

Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity RegularizationSeyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya. isbi 2019: 1692-1695 [doi]

Regular Sampling of Tensor Signals: Theory and Application to FMRICharilaos I. Kanatsoulis, Nicholas D. Sidiropoulos, Mehmet Akçakaya, Xiao Fu 0001. icassp 2019: 2932-2936 [doi]

Functional LGE Imaging: Cardiac Phase-Resolved Assessment of Focal FibrosisSebastian Weingärtner, Omer Burak Demirel, Chetan Shenoy, Lothar R. Schad, Jeanette Schulz-Menger, Mehmet Akçakaya. embc 2019: 3999-4003 [doi]

Robust Online Spike Recovery for High-Density Electrode Recordings using Convolutional Compressed SensingSebastian Weingärtner, Xiaomo Chen, Mehmet Akçakaya, Tirin Moore. ner 2019: 1015-1020 [doi]

Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKIChi Zhang, Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kamil Ugurbil, Mehmet Akçakaya. acssc 2019: 1476-1480 [doi]

Improved Regularized Reconstruction for Simultaneous Multi-Slice Cardiac MRI T1 MappingÖmer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya. eusipco 2019: 1-5 [doi]

2018

Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural NetworksLiang Zhang 0006, Georgios Vasileios Karanikolas, Mehmet Akçakaya, Georgios B. Giannakis. icassp 2018: 6677-6681 [doi]

Sparse Phase Retrieval via Truncated Amplitude FlowGang Wang 0014, Liang Zhang 0006, Georgios B. Giannakis, Mehmet Akçakaya, Jie Chen. tsp, 66(2):479-491, 2018. [doi]

Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance ImagingMehmet Akçakaya, Steen Moeller, Sebastian Weingartner, Kamil Ugurbil. ijcnn 2018: 1-6 [doi]

Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance BeamformerSeyed Amir Hossein Hosseini, Abbas Sohrabpour, Mehmet Akçakaya, Bin He 0002. tbe, 65(10):2365-2374, 2018. [doi]

Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural NetworksChi Zhang, Steen Moeller, Sebastian Weingartner, Kamil Ugurbil, Mehmet Akçakaya. acssc 2018: 1636-1640 [doi]

Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance ImagingChi Zhang, Sebastian Weingärtner, Steen Moeller, Kamil Ugurbil, Mehmet Akçakaya. eit 2018: 399-403 [doi]

2017

2015

Sparse Signal Recovery from a Mixture of Linear and Magnitude-Only MeasurementsMehmet Akçakaya, Vahid Tarokh. spl, 22(9):1220-1223, 2015. [doi]

2013

Distortion-based achievability conditions for joint estimation of sparse signals and measurement parameters from undersampled acquisitionsMehmet Akçakaya, Vahid Tarokh. isit 2013: 291-295 [doi]

2011

A Coding Theory Approach to Noisy Compressive Sensing Using Low Density FramesMehmet Akçakaya, Jinsoo Park, Vahid Tarokh. tsp, 59(11):5369-5379, 2011. [doi]

Compressed Sensing With Wavelet Domain Dependencies for Coronary MRI: A Retrospective StudyMehmet Akçakaya, Seunghoon Nam, Peng Hu, Mehdi Hedjazi Moghari, Long H. Ngo, Vahid Tarokh, Warren J. Manning, Reza Nezafat. tmi, 30(5):1090-1099, 2011. [doi]

2010

Low density frames for compressive sensingMehmet Akçakaya, Jinsoo Park, Vahid Tarokh. icassp 2010: 3642-3645 [doi]

Shannon-theoretic limits on noisy compressive samplingMehmet Akçakaya, Vahid Tarokh. TIT, 56(1):492-504, 2010. [doi]

2008

Noisy compressive sampling limits in linear and sublinear regimesMehmet Akçakaya, Vahid Tarokh. cisst 2008: 1-4 [doi]

A Frame Construction and a Universal Distortion Bound for Sparse RepresentationsMehmet Akçakaya, Vahid Tarokh. tsp, 56(6):2443-2450, 2008. [doi]

2007

Performance Study of Various Sparse Representation Methods Using Redundant FramesMehmet Akçakaya, Vahid Tarokh. cisst 2007: 726-729 [doi]

On Sparsity, Redundancy and Quality of Frame RepresentationsMehmet Akçakaya, Vahid Tarokh. isit 2007: 951-955 [doi]

Performance of Sparse Representation Algorithms Using Randomly Generated FramesMehmet Akçakaya, Vahid Tarokh. spl, 14(11):777-780, 2007. [doi]

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