11 citations · 22 across the 2 of their papers we have counts for
4 papers
Guidance-Coupled Nullspace Drifting for One-Step Medical Image Reconstruction
M. Tuna Alatan, Agah Server Tapan, Şaban Öztürk +4
Generative reconstruction can recover high-quality images from undersampled acquisitions, but state-of-the-art generative priors commonly rely on iterative sampling. Reducing the n…
Stochastic Finite-Transition Learning and Exploration for Accelerated MRI Reconstruction
Muhammad Usama Mirza, Esin Öztürk Işık, Tolga Çukur
Generative MRI reconstruction maps an initial source distribution to the target image distribution along a learned recovery trajectory. Common generative methods, such as diffusion…
Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction
Muhammad U. Mirza, Onat Dalmaz, Hasan A. Bedel +5
Deep generative models have gained recent traction in accelerated MRI reconstruction. Diffusion priors are particularly promising given their representational fidelity. Instead of…
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Onat Dalmaz, Usama Mirza, Gökberk Elmas +5
Multi-institutional collaborations are key for learning generalizable MRI synthesis models that translate source- onto target-contrast images. To facilitate collaboration, federate…