9 citations · 30 across the 9 of their papers we have counts for
3 papers · 1 filter
Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction
Bilal Kabas, Fuat Arslan, Valiyeh A. Nezhad +3
Medical image reconstruction from undersampled acquisitions is an ill-posed inverse problem requiring accurate recovery of anatomical structures from incomplete measurements. Physi…
DenoMamba: A fused state-space model for low-dose CT denoising
Şaban Öztürk, Oğuz Can Duran, Tolga Çukur
Low-dose computed tomography (LDCT) lower potential risks linked to radiation exposure while relying on advanced denoising algorithms to maintain diagnostic quality in reconstructe…
Bayesian Conditioned Diffusion Models for Inverse Problems
Alper Güngör, Bahri Batuhan Bilecen, Tolga Çukur
Diffusion models have recently been shown to excel in many image reconstruction tasks that involve inverse problems based on a forward measurement operator. A common framework uses…