Mehmet Akçakaya

108 papers A* 1A 1B 3Misc 10Journal 55Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deploying AI for Signal Processing Education: Selected challenges and intriguing opportunities [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective]. IEEE Signal Process. Mag. Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akçakaya, Georgios B. Giannakis
2025	—	`conf`	A Self-Validation Metric for Referenceless Image Quality Assessment of Computational Imaging Algorithms. IEEECONF Pranav Salapaka, Yasar Utku Alçalar, Burhaneddin Yaman, Mehmet Akçakaya
2025	—	`conf`	Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining. CAMSAP Yasar Utku Alçalar, Junno Yun, Mehmet Akçakaya
2025	J	`jnl`	Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining. CoRR Yasar Utku Alçalar, Junno Yun, Mehmet Akçakaya
2025	J	`jnl`	Consistency Models as Plug-and-Play Priors for Inverse Problems. CoRR Merve Gülle, Junno Yun, Yasar Utku Alçalar, Mehmet Akçakaya
2025	J	`jnl`	Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI. CoRR Merve Gülle, Sebastian Weingärtner, Mehmet Akçakaya
2025	J	`jnl`	Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities. CoRR Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akçakaya, Georgios B. Giannakis
2025	J	`jnl`	Detecting and Mitigating Adversarial Attacks on Deep Learning-Based MRI Reconstruction Without Any Retraining. CoRR Mahdi Saberi, Chi Zhang, Mehmet Akçakaya
2025	—	`conf`	Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study. FiCloud Yasar Utku Alçalar, Yu Cao, Mehmet Akçakaya
2025	J	`jnl`	Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study. CoRR Yasar Utku Alçalar, Yu Cao, Mehmet Akçakaya
2025	A	`conf`	Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images. WACV Junno Yun, Mehmet Akçakaya
2025	J	`jnl`	No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models. CoRR Junno Yun, Yasar Utku Alçalar, Mehmet Akçakaya
2025	—	`conf`	Phase-Adaptive Averaging and Score-Based Denoising for Inverse Problems in Diffusion Imaging. IEEECONF Toygan Kilic, Yasar Utku Alçalar, Steen Moeller, Mehmet Akçakaya
2025	J	`jnl`	Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction. CoRR Yasar Utku Alçalar, Mehmet Akçakaya
2025	J	`jnl`	Time-Embedded Algorithm Unrolling for Computational MRI. CoRR Junno Yun, Yasar Utku Alçalar, Mehmet Akçakaya
2024	—	`conf`	A Convex Compressibility-Inspired Unsupervised Loss Function for Physics-Driven Deep Learning Reconstruction. ISBI Yasar Utku Alçalar, Merve Gülle, Mehmet Akçakaya
2024	—	`conf`	Cycle-Consistent Self-Supervised Learning for Improved Highly-Accelerated MRI Reconstruction. ISBI Chi Zhang, Omer Burak Demirel, Mehmet Akçakaya
2024	J	`jnl`	Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images. CoRR Junno Yun, Mehmet Akçakaya
2024	—	`conf`	Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI. ISBI Hongyi Gu, Chi Zhang, Zidan Yu, Christoph Rettenmeier, V. Andrew Stenger, Mehmet Akçakaya
2024	—	`conf`	Physics-Driven Deep Learning Reconstruction of Frequency-Modulated Rabi-Encoded Echoes for Faster Accessible MRI. EMBC Mahdi Saberi, Parker Jenkins, Michael Garwood, Mehmet Akçakaya
2024	—	`conf`	Robust Outer Volume Subtraction with Deep Learning Ghosting Detection for Highly-Accelerated Real-Time Dynamic MRI. ISBI Merve Gülle, Mehmet Akçakaya
2024	—	`conf`	Towards Fast Hard-Constrained Parallel Transmit Design in Ultrahigh Field MRI with Physics-Driven Neural Networks. ISBI Toygan Kilic, Jürgen Herrler, Patrick Liebig, Ömer Burak Demirel, Armin M. Nagel, Mingyi Hong, Georgios B. Giannakis, Kâmil Ugurbil, Mehmet Akçakaya
2024	J	`jnl`	Training Physics-Driven Deep Learning Reconstruction without Raw Data Access for Equitable Fast MRI. CoRR Yasar Utku Alçalar, Merve Gülle, Mehmet Akçakaya
2024	Misc	`conf`	Uncertainty-Guided Physics-Driven Deep Learning Reconstruction via Cyclic Measurement Consistency. ICASSP Chi Zhang, Mehmet Akçakaya
2024	—	`conf`	Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems. ECCV (83) Yasar Utku Alçalar, Mehmet Akçakaya
2024	J	`jnl`	Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems. CoRR Yasar Utku Alçalar, Mehmet Akçakaya
2023	J	`jnl`	Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies. NeuroImage Logan Dowdle, Luca Vizioli, Steen Moeller, Mehmet Akçakaya, Cheryl Olman, Geoffrey Ghose, Essa Yacoub, Kâmil Ugurbil
2023	—	`conf`	High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning. NER Ömer Burak Demirel, Steen Moeller, Luca Vizioli, Burhaneddin Yaman, Logan Dowdle, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya
2023	—	`conf`	High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI. EMBC Ömer Burak Demirel, Chi Zhang, Burhaneddin Yaman, Merve Gülle, Chetan Shenoy, Tim Leiner, Peter Kellman, Mehmet Akçakaya
2023	—	`conf`	Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction. CAMSAP Merve Gülle, Ömer Burak Demirel, Logan Dowdle, Steen Moeller, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya
2023	J	`jnl`	Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI. CoRR Hongyi Gu, Chi Zhang, Zidan Yu, Christoph Rettenmeier, V. Andrew Stenger, Mehmet Akçakaya
2023	J	`jnl`	Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. IEEE Signal Process. Mag. Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
2022	J	`jnl`	Accelerated MRI With Deep Linear Convolutional Transform Learning. CoRR Hongyi Gu, Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya
2022	—	`conf`	Adiabatic spin-lock preparations enable robust in vivo cardiac $T_{1\rho}$-mapping at 3T. EMBC Chiara Coletti, Joao Tourais, Telly Ploem, Christal van de Steeg-Henzen, Mehmet Akçakaya, Sebastian Weingärtner
2022	—	`conf`	Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. ISBI Chi Zhang, Davide Piccini, Ömer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akçakaya
2022	—	`conf`	Myocardial Approximate Spin-lock Dispersion Mapping using a Simultaneous $T_{2}$ and $T_{RAFF2}$ Mapping at 3T MRI. EMBC Joao Tourais, Omer Burak Demirel, Qian Tao, Iain Pierce, George D. Thornton, Thomas A. Treibel, Mehmet Akçakaya, Sebastian Weingärtner
2022	J	`jnl`	Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. CoRR Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
2022	J	`jnl`	Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning. NeuroImage Chi Zhang, Steen Moeller, Omer Burak Demirel, Kâmil Ugurbil, Mehmet Akçakaya
2022	J	`jnl`	Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. J. Signal Process. Syst. Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci
2022	—	`conf`	Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI. EMBC Ömer Burak Demirel, Burhaneddin Yaman, Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya
2022	J	`jnl`	Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. IEEE Signal Process. Mag. Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
2022	A*	`conf`	Zero-Shot Self-Supervised Learning for MRI Reconstruction. ICLR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
2021	—	`conf`	20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. EMBC Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	J	`jnl`	20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. CoRR Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	—	`conf`	Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools. EMBC Hongyi Gu, Burhaneddin Yaman, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya
2021	—	`conf`	Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases. ACSCC Zilin Deng, Burhaneddin Yaman, Chi Zhang, Steen Moeller, Mehmet Akçakaya
2021	—	`conf`	Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI. ISBI Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2021	—	`conf`	Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. ACSCC Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	J	`jnl`	Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. CoRR Ömer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
2021	Misc	`conf`	Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. ICASSP Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
2021	—	`conf`	Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. ACSCC Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
2021	—	`conf`	Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under load. EMBC 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
2021	J	`jnl`	NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. NeuroImage Steen Moeller, Pramod Kumar Pisharady, Sudhir Ramanna, Christophe Lenglet, Xiaoping Wu, Logan Dowdle, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya
2021	J	`jnl`	On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. CoRR Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
2021	J	`jnl`	Scan-Specific MRI Reconstruction using Zero-Shot Physics-Guided Deep Learning. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
2021	—	`conf`	Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR. ISBI Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
2021	J	`jnl`	Unsupervised Deep Learning Methods for Biological Image Reconstruction. CoRR Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
2020	J	`jnl`	A field-monitoring-based approach for correcting eddy-current-induced artifacts of up to the 2 NeuroImage Ruoyun Ma, Mehmet Akçakaya, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Pierre-François van de Moortele
2020	—	`conf`	Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer. MICCAI (7) Patrick J. Bolan, Francesca Branzoli, Anna Luisa Di Stefano, Lucia Nichelli, Romain Valabrègue, Sara L. Saunders, Mehmet Akçakaya, Marc Sanson, Stéphane Lehéricy, Malgorzata Marjanska
2020	J	`jnl`	Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. IEEE Signal Process. Mag. Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2020	J	`jnl`	Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. IEEE J. Sel. Top. Signal Process. Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
2020	—	`conf`	High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. EMBC Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya
2020	J	`jnl`	High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. CoRR Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya
2020	—	`conf`	Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction. ISBI Ömer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya
2020	J	`jnl`	Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
2020	J	`jnl`	Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T IEEE Trans. Computational Imaging Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya
2020	J	`jnl`	Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2020	J	`jnl`	Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
2020	—	`conf`	Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. ISBI Workshops Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Chi Zhang, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya
2020	—	`conf`	Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. ISBI Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2020	J	`jnl`	Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR. CoRR Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
2020	J	`jnl`	Tensor Completion From Regular Sub-Nyquist Samples. IEEE Trans. Signal Process. Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mehmet Akçakaya
2020	J	`jnl`	The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR 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, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari
2019	—	`conf`	Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity Regularization. ISBI Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya
2019	J	`jnl`	Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. CoRR Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2019	J	`jnl`	Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. CoRR Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
2019	—	`conf`	Functional LGE Imaging: Cardiac Phase-Resolved Assessment of Focal Fibrosis. EMBC Sebastian Weingärtner, Ömer Burak Demirel, Chetan Shenoy, Lothar R. Schad, Jeanette Schulz-Menger, Mehmet Akçakaya
2019	—	`conf`	Improved Regularized Reconstruction for Simultaneous Multi-Slice Cardiac MRI T1 Mapping. EUSIPCO Ömer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya
2019	Misc	`conf`	Regular Sampling of Tensor Signals: Theory and Application to FMRI. ICASSP Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos, Mehmet Akçakaya, Xiao Fu
2019	—	`conf`	Robust Online Spike Recovery for High-Density Electrode Recordings using Convolutional Compressed Sensing. NER Sebastian Weingärtner, Xiaomo Chen, Mehmet Akçakaya, Tirin Moore
2019	Misc	`conf`	Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI. ACSSC Chi Zhang, Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya
2019	J	`jnl`	Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2019	J	`jnl`	Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. CoRR Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
2018	Misc	`conf`	Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks. ACSSC Chi Zhang, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya
2018	J	`jnl`	Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer. IEEE Trans. Biomed. Eng. Seyed Amir Hossein Hosseini, Abbas Sohrabpour, Mehmet Akçakaya, Bin He
2018	—	`conf`	Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging. EIT Chi Zhang, Sebastian Weingärtner, Steen Moeller, Kâmil Ugurbil, Mehmet Akçakaya
2018	Misc	`conf`	Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks. ICASSP Liang Zhang, Georgios Vasileios Karanikolas, Mehmet Akçakaya, Georgios B. Giannakis
2018	J	`jnl`	Sparse Phase Retrieval via Truncated Amplitude Flow. IEEE Trans. Signal Process. Gang Wang, Liang Zhang, Georgios B. Giannakis, Mehmet Akçakaya, Jie Chen
2018	B	`conf`	Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging. IJCNN Mehmet Akçakaya, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil
2017	—	`conf`	Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI. CAMSAP Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya
2017	—	`conf`	Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. EMBC Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya
2017	Misc	`conf`	SPARTA: Sparse phase retrieval via Truncated Amplitude flow. ICASSP Gang Wang, Georgios B. Giannakis, Jie Chen, Mehmet Akçakaya
2016	J	`jnl`	Sparse Phase Retrieval via Truncated Amplitude Flow. CoRR Gang Wang, Liang Zhang, Georgios B. Giannakis, Mehmet Akçakaya, Jie Chen
2015	J	`jnl`	Sparse Signal Recovery from a Mixture of Linear and Magnitude-Only Measurements. IEEE Signal Process. Lett. Mehmet Akçakaya, Vahid Tarokh
2013	B	`conf`	Distortion-based achievability conditions for joint estimation of sparse signals and measurement parameters from undersampled acquisitions. ISIT Mehmet Akçakaya, Vahid Tarokh
2013	J	`jnl`	New Conditions for Sparse Phase Retrieval. CoRR Mehmet Akçakaya, Vahid Tarokh
2011	J	`jnl`	A Coding Theory Approach to Noisy Compressive Sensing Using Low Density Frames. IEEE Trans. Signal Process. Mehmet Akçakaya, Jinsoo Park, Vahid Tarokh
2011	J	`jnl`	Compressed Sensing With Wavelet Domain Dependencies for Coronary MRI: A Retrospective Study. IEEE Trans. Medical Imaging Mehmet Akçakaya, Seunghoon Nam, Peng Hu, Mehdi Hedjazi Moghari, Long H. Ngo, Vahid Tarokh, Warren J. Manning, Reza Nezafat
2010	Misc	`conf`	Low density frames for compressive sensing. ICASSP Mehmet Akçakaya, Jinsoo Park, Vahid Tarokh
2010	J	`jnl`	Shannon-theoretic limits on noisy compressive sampling. IEEE Trans. Inf. Theory Mehmet Akçakaya, Vahid Tarokh
2009	J	`jnl`	Compressive Sensing Using Low Density Frames CoRR Mehmet Akçakaya, Jinsoo Park, Vahid Tarokh
2008	J	`jnl`	A Frame Construction and a Universal Distortion Bound for Sparse Representations. IEEE Trans. Signal Process. Mehmet Akçakaya, Vahid Tarokh
2008	Misc	`conf`	Noisy compressive sampling limits in linear and sublinear regimes. CISS Mehmet Akçakaya, Vahid Tarokh
2007	B	`conf`	On Sparsity, Redundancy and Quality of Frame Representations. ISIT Mehmet Akçakaya, Vahid Tarokh
2007	J	`jnl`	Performance Bounds on Sparse Representations Using Redundant Frames CoRR Mehmet Akçakaya, Vahid Tarokh
2007	Misc	`conf`	Performance Study of Various Sparse Representation Methods Using Redundant Frames. CISS Mehmet Akçakaya, Vahid Tarokh
2007	J	`jnl`	Performance of Sparse Representation Algorithms Using Randomly Generated Frames. IEEE Signal Process. Lett. Mehmet Akçakaya, Vahid Tarokh
2007	J	`jnl`	Shannon Theoretic Limits on Noisy Compressive Sampling CoRR Mehmet Akçakaya, Vahid Tarokh