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Department of Quantitative Biomedicine

Izabella Horvath

Izabella Horvath

  • PhD candidate

Research Focus

  • Machine learning applications in light sheet microscopy (See more about what we do here) and general medical applications
  • Weakly- and unsupervised learning
  • Generative adversarial networks (domain adaptation and synthetic data generation)
  • Active learning
  • Semantic and instance segmentation

Feel free to contact me in case you find our type of data interesting. Currently working on 3D structure segmentation and data augmentation/generation with conditional GANS, but I am always open to new interesting project ideas.


Google scholar




  • 2020: Master of Science in Biomedical Computing. Technical University of Munich, Germany
  • Thesis: Deep Learning for 3D MR Fingerprinting: A Multi-pathway Parameter Mapping and Reconstruction Approach
  • 2015: Bachelor in Electrical Engineering. Politehnica University of Timisoara, Romania
  • Thesis: Magneto-thermal Stability Characterication of High Jc superconducting strands used for accelerator magnets