6 papers
PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction
Rüveyda Yilmaz, Yuli Wu, Johannes Stegmaier +1
Positron Emission Tomography (PET) image reconstruction is inherently challenged by Poisson noise and physical degradation factors, which are further exacerbated in limited-angle a…
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis
Yuli Wu, Fucheng Liu, Rüveyda Yilmaz +3
Fréchet Inception Distance (FID), computed with an ImageNet pretrained Inception-v3 network, is widely used as a state-of-the-art evaluation metric for generative models. It assum…
Visual Fixation-Based Retinal Prosthetic Simulation
Yuli Wu, Do Dinh Tan Nguyen, Henning Konermann +3
This study proposes a retinal prosthetic simulation framework driven by visual fixations, inspired by the saccade mechanism, and assesses performance improvements through end-to-en…
CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer
Rüveyda Yilmaz, Zhu Chen, Yuli Wu +1
Cell microscopy data are abundant; however, corresponding segmentation annotations remain scarce. Moreover, variations in cell types, imaging devices, and staining techniques intro…
Diffusion-based Sinogram Interpolation for Limited Angle PET
Rüveyda Yilmaz, Julian Thull, Johannes Stegmaier +1
Accurate PET imaging increasingly requires methods that support unconstrained detector layouts from walk-through designs to long-axial rings where gaps and open sides lead to sever…
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation
Rüveyda Yilmaz, Kaan Keven, Yuli Wu +1
Automated cell segmentation in microscopy images is essential for biomedical research, yet conventional methods are labor-intensive and prone to error. While deep learning-based ap…