MA: Invertible neural networks for medical image segmentation
Advisor: Bjoern Menze
Supervision by: Suprosanna Shit
Develop interpretable machine learning models for segmentation and detection tasks leveraging state-of-the-art invertible models.
- Sound knowledge about deep learning and generative modeling.
- Good programming skills in PyTorch?.
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| Title: || Invertible neural networks for medical image segmentation |
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| Director: || Bjoern Menze |
| Supervisor: || Suprosanna Shit |
| Type: || Master Thesis |
| Area: || Segmentation, Machine Learning, Medical Imaging, Computer Vision |
| Status: || open |
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