Berk Tinaz

According to our database, Berk Tinaz authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models.

Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi

CoRR, 2023

DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency.

Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi

CoRR, 2023

2022

Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths.

Mahmut Yurt, Onat Dalmaz, Salman Ul Hassan Dar, Muzaffer Özbey, Berk Tinaz, Kader Karli Oguz, Tolga Çukur

IEEE Trans. Medical Imaging, 2022

Progressively volumetrized deep generative models for data-efficient contextual learning of MR image recovery.

Mahmut Yurt, Muzaffer Özbey, Salman Ul Hassan Dar, Berk Tinaz, Kader Karli Oguz, Tolga Çukur

Medical Image Anal., 2022

HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI Reconstruction.

Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Prior-Guided Image Reconstruction for Accelerated Multi-Contrast MRI via Generative Adversarial Networks.

Salman Ul Hassan Dar, Mahmut Yurt, Mohammad Shahdloo, Muhammed Emrullah Ildiz, Berk Tinaz, Tolga Çukur

IEEE J. Sel. Top. Signal Process., 2020

Semi-Supervised Learning of Mutually Accelerated Multi-Contrast MRI Synthesis without Fully-Sampled Ground-Truths.

Mahmut Yurt, Salman Ul Hassan Dar, Berk Tinaz, Muzaffer Özbey, Tolga Çukur

CoRR, 2020