Izabela Horvath

* M.Sc. Izabela Horvath Groups: Image-Based Biomedical Modeling Email: izabela.horvath@helmholtz-muenchen.de Room: TranslaTUM Linkedin

Education

• 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 characterisation of high Jc superconducting strands used for accelerator magnets
  

Research Interests

• My main focus is machine learning applications in light sheet microscopy (See more about what we do here: http://erturk-lab.com)
• Machine Learning: Weakly- and and unsupervised learning, generative adversarial networks, active learning
• Deep Learning in Medical Imaging: segmentation, self- and weakly-supervised learning.

Available Student Projects

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.