IzabelaHorvath

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Izabela Horvath


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* M.Sc. Izabela Horvath

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.


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Title: M.Sc.
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Firstname: Izabela
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Lastname: Horvath
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Nationality: Romania
Languages: English, Hungarian
Groups: Image-Based Biomedical Modeling
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Position: External Phd
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Edit | Attach | Refresh | Diffs | More | Revision r1.5 - 02 Jun 2021 - 12:54 - IzabelaHorvath

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