Yasar Utku Alçalar

According to our database, Yasar Utku Alçalar authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

Consistency Models for Fast MRI Using Regularization by Denoising.

Merve Gülle, Junno Yun, Yasar Utku Alçalar, Mehmet Akçakaya

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Time-Embedded Algorithm Unrolling for Computational MRI.

Junno Yun, Yasar Utku Alçalar, Mehmet Akçakaya

CoRR, October, 2025

Consistency Models as Plug-and-Play Priors for Inverse Problems.

Merve Gülle, Junno Yun, Yasar Utku Alçalar, Mehmet Akçakaya

CoRR, September, 2025

No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models.

Junno Yun, Yasar Utku Alçalar, Mehmet Akçakaya

CoRR, September, 2025

Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction.

Yasar Utku Alçalar, Mehmet Akçakaya

CoRR, May, 2025

Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study.

Yasar Utku Alçalar, Yu Cao, Mehmet Akçakaya

Proceedings of the 12th International Conference on Future Internet of Things and Cloud, 2025

Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining.

Yasar Utku Alçalar, Junno Yun, Mehmet Akçakaya

Proceedings of the 10th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025

A Self-Validation Metric for Referenceless Image Quality Assessment of Computational Imaging Algorithms.

Pranav Salapaka, Yasar Utku Alçalar, Burhaneddin Yaman, Mehmet Akçakaya

Proceedings of the 59th Asilomar Conference on Signals, 2025

Phase-Adaptive Averaging and Score-Based Denoising for Inverse Problems in Diffusion Imaging.

Toygan Kilic, Yasar Utku Alçalar, Steen Moeller, Mehmet Akçakaya

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Training Physics-Driven Deep Learning Reconstruction without Raw Data Access for Equitable Fast MRI.

Yasar Utku Alçalar, Merve Gülle, Mehmet Akçakaya

CoRR, 2024

A Convex Compressibility-Inspired Unsupervised Loss Function for Physics-Driven Deep Learning Reconstruction.

Yasar Utku Alçalar, Merve Gülle, Mehmet Akçakaya

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems.

Yasar Utku Alçalar, Mehmet Akçakaya

Proceedings of the Computer Vision - ECCV 2024, 2024