Cukur, T.
* 2010: Variable-Density Parallel Imaging With Partially Localized Coil Sensitivities
* 2011: Signal Compensation and Compressed Sensing for Magnetization-Prepared MR Angiography
* 2015: Accelerated Phase-Cycled SSFP Imaging With Compressed Sensing
* 2018: Learning-Based Compressive MRI
* 2019: Fast System Calibration With Coded Calibration Scenes for Magnetic Particle Imaging
* 2019: Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks
* 2019: Projection onto Epigraph Sets for Rapid Self-Tuning Compressed Sensing MRI
* 2019: Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI
* 2022: Constrained Ellipse Fitting for Efficient Parameter Mapping With Phase-Cycled bSSFP MRI
* 2022: ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis
* 2022: Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths
* 2022: TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging
* 2022: Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
* 2023: Deep Learning Reconstruction for Single Pixel Imaging with Generative Adversarial Networks
* 2023: Federated Learning of Generative Image Priors for MRI Reconstruction
* 2023: Unsupervised Medical Image Translation With Adversarial Diffusion Models
* 2024: DEQ-MPI: A Deep Equilibrium Reconstruction With Learned Consistency for Magnetic Particle Imaging
Includes: Cukur, T. Çukur, T. Çukur, T.[Tolga]
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