Performance Study of Various Sparse Representation Methods Using Redundant Frames. - Mehmet Akçakaya; Vahid Tarokh (CISS, 2007)

On Sparsity, Redundancy and Quality of Frame Representations. - Mehmet Akçakaya; Vahid Tarokh (ISIT, 2007)

Performance Bounds on Sparse Representations Using Redundant Frames - Mehmet Akçakaya; Vahid Tarokh (CoRR, 2007)

Performance of Sparse Representation Algorithms Using Randomly Generated Frames. - Mehmet Akçakaya; Vahid Tarokh (IEEE Signal Process. Lett., 2007)

Noisy compressive sampling limits in linear and sublinear regimes. - Mehmet Akçakaya; Vahid Tarokh (CISS, 2008)

A Frame Construction and a Universal Distortion Bound for Sparse Representations. - Mehmet Akçakaya; Vahid Tarokh (IEEE Trans. Signal Process., 2008)

Compressive Sensing Using Low Density Frames - Mehmet Akçakaya; Jinsoo Park; Vahid Tarokh (CoRR, 2009)

Low density frames for compressive sensing. - Mehmet Akçakaya; Jinsoo Park; Vahid Tarokh (ICASSP, 2010)

Shannon-theoretic limits on noisy compressive sampling. - Mehmet Akçakaya; Vahid Tarokh (IEEE Trans. Inf. Theory, 2010)

Compressed Sensing With Wavelet Domain Dependencies for Coronary MRI: A Retrospective Study. - Mehmet Akçakaya; Seunghoon Nam; Peng Hu; Mehdi Hedjazi Moghari; Long H. Ngo; Vahid Tarokh; Warren J. Manning; Reza Nezafat (IEEE Trans. Medical Imaging, 2011)

A Coding Theory Approach to Noisy Compressive Sensing Using Low Density Frames. - Mehmet Akçakaya; Jinsoo Park; Vahid Tarokh (IEEE Trans. Signal Process., 2011)

Distortion-based achievability conditions for joint estimation of sparse signals and measurement parameters from undersampled acquisitions. - Mehmet Akçakaya; Vahid Tarokh (ISIT, 2013)

New Conditions for Sparse Phase Retrieval. - Mehmet Akçakaya; Vahid Tarokh (CoRR, 2013)

Sparse Signal Recovery from a Mixture of Linear and Magnitude-Only Measurements. - Mehmet Akçakaya; Vahid Tarokh (IEEE Signal Process. Lett., 2015)

Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI. - Burhaneddin Yaman; Sebastian Weingärtner; Nikolaos Kargas; Nicholas D. Sidiropoulos; Mehmet Akçakaya (CAMSAP, 2017)

Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. - Steen Moeller; Sebastian Weingärtner; Mehmet Akçakaya (EMBC, 2017)

SPARTA: Sparse phase retrieval via Truncated Amplitude flow. - Gang Wang 014; Georgios B. Giannakis; Jie Chen 003; Mehmet Akçakaya (ICASSP, 2017)

Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks. - Chi Zhang 057; Steen Moeller; Sebastian Weingärtner; Kâmil Ugurbil; Mehmet Akçakaya (ACSSC, 2018)

Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging. - Chi Zhang 057; Sebastian Weingärtner; Steen Moeller; Kâmil Ugurbil; Mehmet Akçakaya (EIT, 2018)

Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks. - Liang Zhang 006; Georgios Vasileios Karanikolas; Mehmet Akçakaya; Georgios B. Giannakis (ICASSP, 2018)

Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging. - Mehmet Akçakaya; Steen Moeller; Sebastian Weingärtner; Kâmil Ugurbil (IJCNN, 2018)

Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer. - Seyed Amir Hossein Hosseini; Abbas Sohrabpour; Mehmet Akçakaya; Bin He 002 (IEEE Trans. Biomed. Eng., 2018)

Sparse Phase Retrieval via Truncated Amplitude Flow. - Gang Wang 014; Liang Zhang 006; Georgios B. Giannakis; Mehmet Akçakaya; Jie Chen 003 (IEEE Trans. Signal Process., 2018)

Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI. - Chi Zhang 057; Seyed Amir Hossein Hosseini; Steen Moeller; Sebastian Weingärtner; Kâmil Ugurbil; Mehmet Akçakaya (ACSSC, 2019)

Functional LGE Imaging: Cardiac Phase-Resolved Assessment of Focal Fibrosis. - Sebastian Weingärtner; Ömer Burak Demirel; Chetan Shenoy; Lothar R. Schad; Jeanette Schulz-Menger; Mehmet Akçakaya (EMBC, 2019)

Improved Regularized Reconstruction for Simultaneous Multi-Slice Cardiac MRI T1 Mapping. - Ömer Burak Demirel; Sebastian Weingärtner; Steen Moeller; Mehmet Akçakaya (EUSIPCO, 2019)

Regular Sampling of Tensor Signals: Theory and Application to FMRI. - Charilaos I. Kanatsoulis; Nicholas D. Sidiropoulos; Mehmet Akçakaya; Xiao Fu 001 (ICASSP, 2019)

Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity Regularization. - Seyed Amir Hossein Hosseini; Steen Moeller; Sebastian Weingärtner; Kâmil Ugurbil; Mehmet Akçakaya (ISBI, 2019)

Robust Online Spike Recovery for High-Density Electrode Recordings using Convolutional Compressed Sensing. - Sebastian Weingärtner; Xiaomo Chen; Mehmet Akçakaya; Tirin Moore (NER, 2019)

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. - Florian Knoll; Kerstin Hammernik; Chi Zhang 057; Steen Moeller; Thomas Pock; Daniel K. Sodickson; Mehmet Akçakaya (CoRR, 2019)

Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mingyi Hong 001; Mehmet Akçakaya (CoRR, 2019)

Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Jutta Ellermann; Kâmil Ugurbil; Mehmet Akçakaya (CoRR, 2019)

High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mehmet Akçakaya (EMBC, 2020)

Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction. - Ömer Burak Demirel; Sebastian Weingärtner; Steen Moeller; Mehmet Akçakaya (ISBI, 2020)

Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Chi Zhang 057; Kâmil Ugurbil; Steen Moeller; Mehmet Akçakaya (ISBI Workshops, 2020)

Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Jutta Ellermann; Kâmil Ugurbil; Mehmet Akçakaya (ISBI, 2020)

Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer. - Patrick J. Bolan; Francesca Branzoli; Anna Luisa Di Stefano; Lucia Nichelli; Romain Valabrègue; Sara L. Saunders; Mehmet Akçakaya; Marc Sanson; Stéphane Lehéricy; Malgorzata Marjanska (MICCAI (7), 2020)

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. - Arjun D. Desai; Francesco Calivá; Claudia Iriondo; Naji Khosravan; Aliasghar Mortazi; Sachin Jambawalikar; Drew A. Torigian; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci; Radhika Tibrewala; Io Flament; et al. (CoRR, 2020)

Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Mehmet Akçakaya (CoRR, 2020)

Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Jutta Ellermann; Kâmil Ugurbil; Mehmet Akçakaya (CoRR, 2020)

Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mingyi Hong 001; Mehmet Akçakaya (IEEE J. Sel. Top. Signal Process., 2020)

A field-monitoring-based approach for correcting eddy-current-induced artifacts of up to the 2nd spatial order in human-connectome-project-style multiband diffusion MRI experiment at 7T: A pilot study. - Ruoyun Ma; Mehmet Akçakaya; Steen Moeller; Edward J. Auerbach; Kâmil Ugurbil; Pierre-François van de Moortele (NeuroImage, 2020)

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. - Florian Knoll; Kerstin Hammernik; Chi Zhang 057; Steen Moeller; Thomas Pock; Daniel K. Sodickson; Mehmet Akçakaya (IEEE Signal Process. Mag., 2020)

Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T1 Mapping. - Burhaneddin Yaman; Sebastian Weingärtner; Nikolaos Kargas; Nicholas D. Sidiropoulos; Mehmet Akçakaya (IEEE Trans. Computational Imaging, 2020)

Tensor Completion From Regular Sub-Nyquist Samples. - Charilaos I. Kanatsoulis; Xiao Fu 001; Nicholas D. Sidiropoulos; Mehmet Akçakaya (IEEE Trans. Signal Process., 2020)

Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. - Ömer Burak Demirel; Burhaneddin Yaman; Logan Dowdle; Steen Moeller; Luca Vizioli; Essa Yacoub; John P. Strupp; Cheryl A. Olman; Kâmil Ugurbil; Mehmet Akçakaya (ACSCC, 2021)

Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases. - Zilin Deng; Burhaneddin Yaman; Chi Zhang 057; Steen Moeller; Mehmet Akçakaya (ACSCC, 2021)

Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. - Chi Zhang 057; Jinghan Jia; Burhaneddin Yaman; Steen Moeller; Sijia Liu 001; Mingyi Hong 001; Mehmet Akçakaya (ACSCC, 2021)

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

20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. - Ömer Burak Demirel; Burhaneddin Yaman; Logan Dowdle; Steen Moeller; Luca Vizioli; Essa Yacoub; John P. Strupp; Cheryl A. Olman; Kâmil Ugurbil; Mehmet Akçakaya (EMBC, 2021)

Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools. - Hongyi Gu; Burhaneddin Yaman; Kâmil Ugurbil; Steen Moeller; Mehmet Akçakaya (EMBC, 2021)

Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Mehmet Akçakaya (ICASSP, 2021)

Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Jutta Ellermann; Kâmil Ugurbil; Mehmet Akçakaya (ISBI, 2021)

Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR. - Burhaneddin Yaman; Chetan Shenoy; Zilin Deng; Steen Moeller; Hossam El-Rewaidy; Reza Nezafat; Mehmet Akçakaya (ISBI, 2021)

Scan-Specific MRI Reconstruction using Zero-Shot Physics-Guided Deep Learning. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Mehmet Akçakaya (CoRR, 2021)

On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. - Chi Zhang 057; Jinghan Jia; Burhaneddin Yaman; Steen Moeller; Sijia Liu 001; Mingyi Hong 001; Mehmet Akçakaya (CoRR, 2021)

Unsupervised Deep Learning Methods for Biological Image Reconstruction. - Mehmet Akçakaya; Burhaneddin Yaman; Hyungjin Chung; Jong Chul Ye (CoRR, 2021)

NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. - Steen Moeller; Pramod Kumar Pisharady; Sudhir Ramanna; Christophe Lenglet; Xiaoping Wu; Logan Dowdle; Essa Yacoub; Kâmil Ugurbil; Mehmet Akçakaya (NeuroImage, 2021)

Adiabatic spin-lock preparations enable robust in vivo cardiac $T_{1 rho}$-mapping at 3T. - Chiara Coletti; Joao Tourais; Telly Ploem; Christal van de Steeg-Henzen; Mehmet Akçakaya; Sebastian Weingärtner (EMBC, 2022)

Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI. - Ömer Burak Demirel; Burhaneddin Yaman; Steen Moeller; Sebastian Weingärtner; Mehmet Akçakaya (EMBC, 2022)

Myocardial Approximate Spin-lock Dispersion Mapping using a Simultaneous $T_{2}$ and $T_{RAFF2}$ Mapping at 3T MRI. - Joao Tourais; Omer Burak Demirel; Qian Tao; Iain Pierce; George D. Thornton; Thomas A. Treibel; Mehmet Akçakaya; Sebastian Weingärtner (EMBC, 2022)

Zero-Shot Self-Supervised Learning for MRI Reconstruction. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Mehmet Akçakaya (ICLR, 2022)

Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. - Chi Zhang 057; Davide Piccini; Ömer Burak Demirel; Gabriele Bonanno; Burhaneddin Yaman; Matthias Stuber; Steen Moeller; Mehmet Akçakaya (ISBI, 2022)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (CoRR, 2022)

Accelerated MRI With Deep Linear Convolutional Transform Learning. - Hongyi Gu; Burhaneddin Yaman; Steen Moeller; Il Yong Chun; Mehmet Akçakaya (CoRR, 2022)

Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning. - Chi Zhang 057; Steen Moeller; Omer Burak Demirel; Kâmil Ugurbil; Mehmet Akçakaya (NeuroImage, 2022)

Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. - Mehmet Akçakaya; Burhaneddin Yaman; Hyungjin Chung; Jong Chul Ye (IEEE Signal Process. Mag., 2022)

Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. - Syed Muhammad Anwar; Ismail Irmakci; Drew A. Torigian; Sachin Jambawalikar; Georgios Z. Papadakis; Can Akgun; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci (J. Signal Process. Syst., 2022)

Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction. - Merve Gülle; Ömer Burak Demirel; Logan Dowdle; Steen Moeller; Essa Yacoub; Kâmil Ugurbil; Mehmet Akçakaya (CAMSAP, 2023)

High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI. - Ömer Burak Demirel; Chi Zhang 057; Burhaneddin Yaman; Merve Gülle; Chetan Shenoy; Tim Leiner; Peter Kellman; Mehmet Akçakaya (EMBC, 2023)

High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning. - Ömer Burak Demirel; Steen Moeller; Luca Vizioli; Burhaneddin Yaman; Logan Dowdle; Essa Yacoub; Kâmil Ugurbil; Mehmet Akçakaya (NER, 2023)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (IEEE Signal Process. Mag., 2023)

Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies. - Logan Dowdle; Luca Vizioli; Steen Moeller; Mehmet Akçakaya; Cheryl Olman; Geoffrey Ghose; Essa Yacoub; Kâmil Ugurbil (NeuroImage, 2023)

Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems. - Yasar Utku Alçalar; Mehmet Akçakaya (ECCV (83), 2024)

Physics-Driven Deep Learning Reconstruction of Frequency-Modulated Rabi-Encoded Echoes for Faster Accessible MRI. - Mahdi Saberi; Parker Jenkins; Michael Garwood; Mehmet Akçakaya (EMBC, 2024)

Uncertainty-Guided Physics-Driven Deep Learning Reconstruction via Cyclic Measurement Consistency. - Chi Zhang 057; Mehmet Akçakaya (ICASSP, 2024)

A Convex Compressibility-Inspired Unsupervised Loss Function for Physics-Driven Deep Learning Reconstruction. - Yasar Utku Alçalar; Merve Gülle; Mehmet Akçakaya (ISBI, 2024)

Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI. - Hongyi Gu; Chi Zhang 057; Zidan Yu; Christoph Rettenmeier; V. Andrew Stenger; Mehmet Akçakaya (ISBI, 2024)

Robust Outer Volume Subtraction with Deep Learning Ghosting Detection for Highly-Accelerated Real-Time Dynamic MRI. - Merve Gülle; Mehmet Akçakaya (ISBI, 2024)

Towards Fast Hard-Constrained Parallel Transmit Design in Ultrahigh Field MRI with Physics-Driven Neural Networks. - Toygan Kilic; Jürgen Herrler; Patrick Liebig; Ömer Burak Demirel; Armin M. Nagel; Mingyi Hong 001; Georgios B. Giannakis; Kâmil Ugurbil; Mehmet Akçakaya (ISBI, 2024)

Cycle-Consistent Self-Supervised Learning for Improved Highly-Accelerated MRI Reconstruction. - Chi Zhang 057; Omer Burak Demirel; Mehmet Akçakaya (ISBI, 2024)

Training Physics-Driven Deep Learning Reconstruction without Raw Data Access for Equitable Fast MRI. - Yasar Utku Alçalar; Merve Gülle; Mehmet Akçakaya (CoRR, 2024)

Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images. - Junno Yun; Mehmet Akçakaya (WACV, 2025)

Detecting and Mitigating Adversarial Attacks on Deep Learning-Based MRI Reconstruction Without Any Retraining. - Mahdi Saberi; Chi Zhang 057; Mehmet Akçakaya (CoRR, 2025)

Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI. - Merve Gülle; Sebastian Weingärtner; Mehmet Akçakaya (CoRR, 2025)

Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction. - Yasar Utku Alçalar; Mehmet Akçakaya (CoRR, 2025)

Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study. - Yasar Utku Alçalar; Yu Cao; Mehmet Akçakaya (CoRR, 2025)