Mehmet Akçakaya

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 70

Top Topics

Inverse Problems

Magnetic Resonance Imaging

Top Venues

Publications

Chi Zhang, Mehmet Akçakaya
Uncertainty-Guided Physics-Driven Deep Learning Reconstruction via Cyclic Measurement Consistency. ICASSP (2024)
Yasar Utku Alçalar, Mehmet Akçakaya
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems. CoRR (2024)
Hongyi Gu, Chi Zhang, Zidan Yu, Christoph Rettenmeier, V. Andrew Stenger, Mehmet Akçakaya
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI. CoRR (2023)
Ömer Burak Demirel, Steen Moeller, Luca Vizioli, Burhaneddin Yaman, Logan Dowdle, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya
High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning. NER (2023)
Logan Dowdle, Luca Vizioli, Steen Moeller, Mehmet Akçakaya, Cheryl Olman, Geoffrey Ghose, Essa Yacoub, Kâmil Ugurbil
Evaluating increases in sensitivity from NORDIC for diverse fMRI acquisition strategies. NeuroImage 270 (2023)
Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. IEEE Signal Process. Mag. 40 (1) (2023)
Ömer Burak Demirel, Chi Zhang, Burhaneddin Yaman, Merve Gulle, Chetan Shenoy, Tim Leiner, Peter Kellman, Mehmet Akçakaya
High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI. EMBC (2023)
Merve Gülle, Ömer Burak Demirel, Logan Dowdle, Steen Moeller, Essa Yacoub, Kâmil Ugurbil, Mehmet Akçakaya
Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction. CAMSAP (2023)
Joao Tourais, Omer Burak Demirel, Qian Tao, Iain Pierce, George D. Thornton, Thomas A. Treibel, Mehmet Akçakaya, Sebastian Weingärtner
Myocardial Approximate Spin-lock Dispersion Mapping using a Simultaneous $T_{2}$ and $T_{RAFF2}$ Mapping at 3T MRI. EMBC (2022)
Ömer Burak Demirel, Burhaneddin Yaman, Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya
Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI. EMBC (2022)
Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. CoRR (2022)
Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci
Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. J. Signal Process. Syst. 94 (5) (2022)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
Zero-Shot Self-Supervised Learning for MRI Reconstruction. ICLR (2022)
Chiara Coletti, Joao Tourais, Telly Ploem, Christal van de Steeg-Henzen, Mehmet Akçakaya, Sebastian Weingärtner
Adiabatic spin-lock preparations enable robust in vivo cardiac $T_{1\rho}$-mapping at 3T. EMBC (2022)
Chi Zhang, Davide Piccini, Ömer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akçakaya
Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. ISBI (2022)
Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. IEEE Signal Process. Mag. 39 (2) (2022)
Chi Zhang, Steen Moeller, Omer Burak Demirel, Kâmil Ugurbil, Mehmet Akçakaya
Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning. NeuroImage 256 (2022)
Hongyi Gu, Burhaneddin Yaman, Steen Moeller, Il Yong Chun, Mehmet Akçakaya
Accelerated MRI With Deep Linear Convolutional Transform Learning. CoRR (2022)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. ICASSP (2021)
Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. CoRR (2021)
Steen Moeller, Pramod Kumar Pisharady, Sudhir Ramanna, Christophe Lenglet, Xiaoping Wu, Logan Dowdle, Essa Yacoub, Kamil Ugurbil, Mehmet Akçakaya
NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. NeuroImage 226 (2021)
Jaap 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
Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under load. EMBC (2021)
Omer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. CoRR (2021)
Omer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. CoRR (2021)
Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya
Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. ACSCC (2021)
Hongyi Gu, Burhaneddin Yaman, Kamil Ugurbil, Steen Moeller, Mehmet Akçakaya
Compressed Sensing MRI with ℓ1-Wavelet Reconstruction Revisited Using Modern Data Science Tools. EMBC (2021)
Zilin Deng, Burhaneddin Yaman, Chi Zhang, Steen Moeller, Mehmet Akçakaya
Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases. ACSCC (2021)
Omer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction. EMBC (2021)
Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
Unsupervised Deep Learning Methods for Biological Image Reconstruction. CoRR (2021)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI. ISBI (2021)
Omer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kâmil Ugurbil, Mehmet Akçakaya
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. ACSCC (2021)
Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR. ISBI (2021)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
Scan-Specific MRI Reconstruction using Zero-Shot Physics-Guided Deep Learning. CoRR (2021)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. CoRR (2020)
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. EMBC (2020)
Patrick J. Bolan, Francesca Branzoli, Anna Luisa Di Stefano, Lucia Nichelli, Romain Valabrègue, Sara L. Saunders, Mehmet Akçakaya, Marc Sanson, Stéphane Lehéricy, Malgorzata Marjanska
Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer. MICCAI (7) (2020)
Ömer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya
Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction. ISBI (2020)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. ISBI (2020)
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Chi Zhang, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya
Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. ISBI Workshops (2020)
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos, Mehmet Akçakaya
Tensor Completion From Regular Sub-Nyquist Samples. IEEE Trans. Signal Process. 68 (2020)
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. CoRR (2020)
Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR. CoRR (2020)
Ruoyun Ma, Mehmet Akçakaya, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Pierre-François van de Moortele
spatial order in human-connectome-project-style multiband diffusion MRI experiment at 7T: A pilot study. NeuroImage 216 (2020)
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. IEEE Signal Process. Mag. 37 (1) (2020)
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
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR (2020)
Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya
Mapping. IEEE Trans. Computational Imaging 6 (2020)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI. CoRR (2020)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling. CoRR (2020)
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. CoRR (2019)
Sebastian Weingärtner, Omer Burak Demirel, Chetan Shenoy, Lothar R. Schad, Jeanette Schulz-Menger, Mehmet Akçakaya
Functional LGE Imaging: Cardiac Phase-Resolved Assessment of Focal Fibrosis. EMBC (2019)
Sebastian Weingärtner, Xiaomo Chen, Mehmet Akçakaya, Tirin Moore
Robust Online Spike Recovery for High-Density Electrode Recordings using Convolutional Compressed Sensing. NER (2019)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. CoRR (2019)
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya
Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data. CoRR (2019)
Ömer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya
Improved Regularized Reconstruction for Simultaneous Multi-Slice Cardiac MRI T1 Mapping. EUSIPCO (2019)
Chi Zhang, Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kamil Ugurbil, Mehmet Akçakaya
Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI. ACSSC (2019)
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. CoRR (2019)
Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya
Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity Regularization. ISBI (2019)
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos, Mehmet Akçakaya, Xiao Fu
Regular Sampling of Tensor Signals: Theory and Application to FMRI. ICASSP (2019)
Seyed Amir Hossein Hosseini, Abbas Sohrabpour, Mehmet Akçakaya, Bin He
Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer. IEEE Trans. Biomed. Eng. 65 (10) (2018)
Liang Zhang, Georgios Vasileios Karanikolas, Mehmet Akçakaya, Georgios B. Giannakis
Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks. ICASSP (2018)
Gang Wang, Liang Zhang, Georgios B. Giannakis, Mehmet Akçakaya, Jie Chen
Sparse Phase Retrieval via Truncated Amplitude Flow. IEEE Trans. Signal Process. 66 (2) (2018)
Mehmet Akçakaya, Steen Moeller, Sebastian Weingärtner, Kamil Ugurbil
Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging. IJCNN (2018)
Chi Zhang, Sebastian Weingärtner, Steen Moeller, Kamil Ugurbil, Mehmet Akçakaya
Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging. EIT (2018)
Chi Zhang, Steen Moeller, Sebastian Weingärtner, Kamil Ugurbil, Mehmet Akçakaya
Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks. ACSSC (2018)
Gang Wang, Georgios B. Giannakis, Jie Chen, Mehmet Akçakaya
SPARTA: Sparse phase retrieval via Truncated Amplitude flow. ICASSP (2017)
Steen Moeller, Sebastian Weingärtner, Mehmet Akçakaya
Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. EMBC (2017)
Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya
Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI. CAMSAP (2017)
Gang Wang, Liang Zhang, Georgios B. Giannakis, Mehmet Akçakaya, Jie Chen
Sparse Phase Retrieval via Truncated Amplitude Flow. CoRR (2016)
Mehmet Akçakaya, Vahid Tarokh
Sparse Signal Recovery from a Mixture of Linear and Magnitude-Only Measurements. IEEE Signal Process. Lett. 22 (9) (2015)
Mehmet Akçakaya, Vahid Tarokh
Distortion-based achievability conditions for joint estimation of sparse signals and measurement parameters from undersampled acquisitions. ISIT (2013)
Mehmet Akçakaya, Vahid Tarokh
New Conditions for Sparse Phase Retrieval. CoRR (2013)
Mehmet Akçakaya, Jinsoo Park, Vahid Tarokh
A Coding Theory Approach to Noisy Compressive Sensing Using Low Density Frames. IEEE Trans. Signal Process. 59 (11) (2011)
Mehmet Akçakaya, Seunghoon Nam, Peng Hu, Mehdi Hedjazi Moghari, Long H. Ngo, Vahid Tarokh, Warren J. Manning, Reza Nezafat
Compressed Sensing With Wavelet Domain Dependencies for Coronary MRI: A Retrospective Study. IEEE Trans. Medical Imaging 30 (5) (2011)
Mehmet Akçakaya, Vahid Tarokh
Shannon-theoretic limits on noisy compressive sampling. IEEE Trans. Inf. Theory 56 (1) (2010)
Mehmet Akçakaya, Jinsoo Park, Vahid Tarokh
Low density frames for compressive sensing. ICASSP (2010)
Mehmet Akçakaya, Jinsoo Park, Vahid Tarokh
Compressive Sensing Using Low Density Frames CoRR (2009)
Mehmet Akçakaya, Vahid Tarokh
A Frame Construction and a Universal Distortion Bound for Sparse Representations. IEEE Trans. Signal Process. 56 (6) (2008)
Mehmet Akçakaya, Vahid Tarokh
Noisy compressive sampling limits in linear and sublinear regimes. CISS (2008)
Mehmet Akçakaya, Vahid Tarokh
Performance of Sparse Representation Algorithms Using Randomly Generated Frames. IEEE Signal Process. Lett. 14 (11) (2007)
Mehmet Akçakaya, Vahid Tarokh
Performance Study of Various Sparse Representation Methods Using Redundant Frames. CISS (2007)
Mehmet Akçakaya, Vahid Tarokh
On Sparsity, Redundancy and Quality of Frame Representations. ISIT (2007)
Mehmet Akçakaya, Vahid Tarokh
Shannon Theoretic Limits on Noisy Compressive Sampling CoRR (2007)
Mehmet Akçakaya, Vahid Tarokh
Performance Bounds on Sparse Representations Using Redundant Frames CoRR (2007)