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Tumor volume and changes in tumor characteristics over time are important biomarkers for cancer therapy. In this context, FDG-PET/CT scans are routinely used for staging and re-staging of cancer, as the radiolabeled fluorodeoxyglucose is taken up in regions of high metabolism. Unfortunately, these regions with high metabolism are not specific to tu...
Data has become the most valuable resource in today's world. With the massive proliferation of data-driven algorithms, such as deep learning-based approaches, the availability of data is of great interest. In this context, high-quality training, validation and testing datasets are particularly needed. Volumetric data is a very important resource in...
Translational brain research using Magnetic Resonance Imaging (MRI) is becoming increasingly popular as animal models are an essential part of scientific studies and more ultra-high-field scanners are becoming available. Some disadvantages of MRI are the availability of MRI scanners and the time required for a full scanning session. Privacy laws an...
Artificial intelligence is growing, but techniques like deep learning require more data than is usually available, especially in the medical context. Usually, the available data sets are not representative of reality, meaning that more samples have to be acquired, which is very costly. The demand for tools that can generate as much data as needed h...
Translational brain research using Magnetic Resonance Imaging (MRI) is becoming increasingly popular as animal models are an essential part of scientific studies and ultra-high-field scanners become more available. Some drawbacks of MRI are MRI scanner availability, and the time needed to perform a full scanning session (it usually takes over 30 mi...