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Institute

Rüveyda Yilmaz

M.Sc.

Rüveyda Yilmaz

Research Scientist

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 Chapter

Journal publications

  • 2025

    2025article

    Rüveyda Yilmaz, Julian Thull, Johannes Stegmaier and Volkmar Schulz

    Diffusion-based Sinogram Interpolation for Limited Angle PET

    In: arXiv preprint arXiv:2511.09383

  • 2024article

    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), S. e1011890

Conference publications

  • 2026

    2026inproceedings

    Emil Mededovic, Fabian Gülhan, Rüveyda Yilmaz and Johannes Stegmaier

    Focus on the Fog: Leveraging Student Uncertainty for Guided Knowledge Distillation in Semantic Segmentation

    In: 2026 IEEE International Conference on Image Processing (ICIP)

  • 2026

    2026inproceedings

    Rüveyda Yilmaz, Yuli Wu, Johannes Stegmaier and Volkmar Schulz

    PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction

    In: Medical Image Computing and Computer Assisted Intervention (MICCAI), S. 381--391

  • 2026inproceedings

    Kostiantyn Lavronenko, Matthias Knapp, Marcel Ochsendorf, Rüveyda Yilmaz, Marian Frei, Felix Dahms, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz

    Diffusion-prior-based reconstruction and B0 field correction of knee MRI under simulated low-field distortions

    In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026 39, S. S630--S631

  • 2026inproceedings

    Kostiantyn Lavronenko, Rueveyda Yilmaz, Zhu Chen, Johannes Stegmaier and Volkmar Schulz

    Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging

    In: MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, Springer Nature Switzerland

  • 2026inproceedings

    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: Proceedings of The 9th International Conference on Medical Imaging with Deep Learning 315, S. 2352--2368, PMLR

  • 2025

    2025inproceedings

    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, S. 67--77

  • 2025

    2025inproceedings

    Rüveyda 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)

  • 2025inproceedings

    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

    2024inproceedings

    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

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