4 papers
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…
SUFFICIENT: A scan-specific unsupervised deep learning framework for high-resolution 3D isotropic fetal brain MRI reconstruction
Jiangjie Wu, Lixuan Chen, Zhenghao Li +6
High-quality 3D fetal brain MRI reconstruction from motion-corrupted 2D slices is crucial for clinical diagnosis. Reliable slice-to-volume registration (SVR)-based motion correctio…
Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models
Saban Ozturk, Melih B. Yilmaz, Muti Kara +3
Diagnostic imaging relies on interpreting both images and radiology reports, but the growing data volumes place significant pressure on medical experts, yielding increased errors a…
DenoMamba: A fused state-space model for low-dose CT denoising
Åaban Ãztürk, OÄuz Can Duran, Tolga Ãukur
Low-dose computed tomography (LDCT) lower potential risks linked to radiation exposure while relying on advanced denoising algorithms to maintain diagnostic quality in reconstructe…