Artificial Intelligence in Medical Imaging

Uploaded on 8 January 2024

Background: The cerebral cortex is the tightly folded, thin outer layer of the brain, and it is responsible for many high-level cognitive functions such as attention, memory, or consciousness. Over the lifespan and subject to neurodegenerative diseases like Alzheimer’s, the shape of the cortex undergoes continuous change, which in turn affects the brain’s functionality. To analyze these changes, their relations, and effects, different representations of the cortical geometry can be used such as MRI scans and surface meshes.

Project description:  The goal of this project is to develop new deep-learning algorithms that can deal with different representations of the cortex, e.g., images and meshes, and to use the resulting models for downstream cortical analyses.

What we offer to you:

• We offer a master’s thesis on the analysis of the cortex with the most recent neural network architectures.
• You are an active member of our international and interdisciplinary research team working on a cutting-edge research question.
• You work in close collaboration with computational scientists from TUM as well as medical experts from neuroradiology at Klinikum rechts der Isar.
• You will learn to know and apply the latest deep-learning architectures and neuroimaging tools.

What sets you apart:

• You are studying computer science, biomedical image computing (BMC), or a comparable course in a master’s degree.
• You have gained experience in Python programming with libraries such as PyTorch, Pandas, and/or OpenCV.
• You have a good understanding of mathematics and image processing.
• You have some knowledge about neuroimaging and its data formats. Ideally, you would also have worked with 3D mesh representations although this is not essential.
• You are willing to work in an interdisciplinary team at the intersection of computation and medicine at Klinikum rechts der Isar.
• You are fluent in English.
• You are characterized by an independent way of working, a high degree of motivation and commitment, and the willingness to take on responsibility quickly.

Contact Information:

Fabian Bongratz (fabi.bongratz@tum.de), Artificial Intelligence in Medical Imaging Lab, Department of Radiology, TUM