2

Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction
We introduce the first Fourier-constrained diffusion bridge (FDB) for MRI reconstruction, which learns a dealiasing transformation from undersampled to fully-sampled data instead of relying on a noise-governed generative trajectory.
Usama Mirza, Onat Dalmaz, Hasan A Bedel, Gökberk Elmas, Yilmaz Korkmaz, Alper Güngör, Salman UH Dar, Kader K Oğuz, Tolga Çukur
PDF Cite Code DOI
Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
We introduce pFLSynth, the first personalized federated learning method for multi-contrast MRI synthesis, which improves reliability against data heterogeneity via model specialization to individual sites and synthesis tasks.
Onat Dalmaz, Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman UH Dar, Emir Ceyani, Kader K Oğuz, Salman Avestimehr, Tolga Çukur
PDF Cite Code DOI
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis