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20222026
most citedUnsupervised Medical Image Translation with Adversarial Diffusion Models

32 citations · 72 across the 9 of their papers we have counts for

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6 papers · 1 filter

eess.IV2024★ 13 cited

Self-Consistent Recursive Diffusion Bridge for Medical Image Translation

Fuat Arslan, Bilal Kabas, Onat Dalmaz +2

Denoising diffusion models (DDM) have gained recent traction in medical image translation given improved training stability over adversarial models. DDMs learn a multi-step denoisi…

eess.IV2024

I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling

Omer F. Atli, Bilal Kabas, Fuat Arslan +4

Multi-modal medical image synthesis involves nonlinear transformation of tissue signals between source and target modalities, where tissues exhibit contextual interactions across d…

eess.IV2023

Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation

Can Koz, Onat Dalmaz, Mertay Dayanc

Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique that provides high-resolution cross-sectional images of the retina, which are useful for diagnos…

eess.IV2023★ 11 cited

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…

eess.IV2022★ 11 cited

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…

eess.IV2022★ 32 cited

Unsupervised Medical Image Translation with Adversarial Diffusion Models

Muzaffer Özbey, Onat Dalmaz, Salman UH Dar +4

Imputation of missing images via source-to-target modality translation can improve diversity in medical imaging protocols. A pervasive approach for synthesizing target images invol…