Open projects
We have several open research projects for MSc students who want to do an internship or graduation project. We keep these projects in a portfolio document:
BIGR MSc Project Portfolio. In general, the projects focus on medical image processing.
Artificial Intelligence for Integrated Diagnostics (AIID)
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Current guideline-recommended risk stratification in high-risk non-muscle invasive bladder cancer (HR-NMIBC) is inadequate at predicting which patients are at the highest risk of developing progression to aggressive disease. In case of progression no personalized bladder-sparing treatment options are available for these patients and the bladder is surgically removed with a decrease of the patients’ quality of life. Clinically relevant RNA-based molecular subtypes have the potential to improve risk stratification by identification of patients at the highest risk of progression, but sequencing is costly and time-consuming. Within AI-PRECISE we will use a multimodal approach by combining artificial intelligence (AI), histopathology images and RNA sequencing data to predict molecular subtypes in bladder cancer and to identify targets for novel bladder-sparing treatment options. The AI based targets for novel treatments will be validated in bladder cancer organoids developed in our group. The final aim of this project is creating trustworthy AI models to aid clinicians in accurate patient risk stratification followed by organoid-guided decision making.
Applied Medical Image Analysis
Biomedical Imaging Research Infrastructure
If you have your own ideas for a medical imaging analysis MSc project, feel free to contact dr.
Stefan Klein.