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20232026
most citedRetinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation

6 citations · 7 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

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…

cs.HC2025

Evaluating Cross-Subject and Cross-Device Consistency in Visual Fixation Prediction

Yuli Wu, Henning Konermann, Emil Mededovic +2

Understanding cross-subject and cross-device consistency in visual fixation prediction is essential for advancing eye-tracking applications, including visual attention modeling and…

cs.CV2025

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 assume…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

eess.IV2024

Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields

Rüveyda Yilmaz, Dennis Eschweiler, Johannes Stegmaier

The segmentation and tracking of living cells play a vital role within the biomedical domain, particularly in cancer research, drug development, and developmental biology. These ar…

cs.CV2024

Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks

Yuli Wu, Julian Wittmann, Peter Walter +1

Implantable retinal prostheses offer a promising solution to restore partial vision by circumventing damaged photoreceptor cells in the retina and directly stimulating the remainin…

eess.IV2023★ 6 cited

Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation

Yuli Wu, Weidong He, Dennis Eschweiler +5

Modern biomedical image analysis using deep learning often encounters the challenge of limited annotated data. To overcome this issue, deep generative models can be employed to syn…