Three papers accepted at MICCAI 2025 Main Conference

Julia A. Schnabel, Daniel M. Lang, Richard Osuala, Cosmin I. Bercea, Veronika Spieker
Jun 30, 2025 1 min read

  • Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI
    Daniel Lang, Richard Osuala, Veronika Spieker, Karim Lekadir, Rickmer Braren, Julia Schnabel
    (https://arxiv.org/abs/2506.18720)

  • Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound
    Chun Kit Wong, Anders Christensen, Cosmin Bercea, Julia Schnabel, Martin Tolsgaard, Aasa Feragen

  • Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration
    Tomáš Chobola, Julia Schnabel, Tingying Peng

Julia A. Schnabel
Julia A. Schnabel
Professor for Computational Imaging and AI in Medicine, Director of the Institute of Machine Learning in Biomedical Imaging

My research interests include machine/deep learning, nonlinear motion modeling, as well as multimodal and quantitative imaging, for cancer-, cardiac-, neuro- and perinatal imaging.

Daniel M. Lang
Daniel M. Lang
Research Scientist

My current research focuses on the development of deep generative models for dynamic settings in cancer imaging.

Richard Osuala
Richard Osuala
Doctoral Researcher (Visiting)

My research interests include medical image synthesis and generative models in cancer imaging.

Cosmin I. Bercea
Cosmin I. Bercea
Research Scientist

I am a postdoctoral researcher specializing in vision and multimodal learning for medical image analysis, with the current focus on developing vision-language models for generative downstream tasks.

Veronika Spieker
Veronika Spieker
Doctoral Researcher

Veronika Spieker’s interests include AI-based methods for MR reconstrution and motion correction.