M.Sc.

Rüveyda Yilmaz

Research Scientist

 110
 +49 241 80 22903
 Rueveyda.Yilmaz@lfb.rwth-aachen.de


Curriculum Vitae

Jun 2023 – today Research Scientist, Chair of Imaging & Computer Vision, RWTH Aachen University, Germany
Oct 2020 – Apr 2023 M. Sc. Electrical Engineering, Information Technology and Computer Engineering, RWTH Aachen
Sep 2015 – Jul 2020 B. Sc. Electrical Engineering, Bilkent University, Turkey

Research Field

Synthesis and Segmentation of Microscopy Image Data

Publications

 

Book Chapters

Journal Publications

 
2025

Rüveyda Yilmaz, Julian Thull, Johannes Stegmaier and Volkmar Schulz
Diffusion-based Sinogram Interpolation for Limited Angle PET
In: arXiv preprint arXiv:2511.09383

2024

Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, Ina Laube, Rijo Roy, Abin Jose, Daniel Brückner and Johannes Stegmaier
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets
In: PLOS Computational Biology 20 (2)

Conference Publications

 
2025

Rüveyda Yilmaz, Zhu Chen, Yuli Wu and Johannes Stegmaier
CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer
In: International Conference on Medical Image Computing and Computer-Assisted Intervention

 
2025

Ruveyda Yilmaz, Kaan Keven, Yuli Wu and Johannes Stegmaier
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation
In: 2025 IEEE International Symposium on Biomedical Imaging (ISBI)

2025

Yuli Wu, Fucheng Liu, Rüveyda Yilmaz, Henning Konermann, Peter Walter and Johannes Stegmaier
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis
In: arXiv preprint arXiv:2502.17160

2025

Yuli Wu, Do Dinh Tan Nguyen, Henning Konermann, Rüveyda Yilmaz, Peter Walter and Johannes Stegmaier
Visual Fixation-Based Retinal Prosthetic Simulation
In: IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

 
2024

Ruveyda Yilmaz, Dennis Eschweiler and Johannes Stegmaier
Annotated Biomedical Video Generation Using Denoising Diffusion Probabilistic Models and Flow Fields
In: Simulation and Synthesis in Medical Imaging