PhD Candidate · AI for Medical Imaging · TUM
Researcher at the Technical University of Munich working on generative models, cardiac MRI reconstruction, and tokenization for medical imaging.
Passionate researcher dedicated to advancing scientific knowledge
I am a dedicated researcher with expertise in the field of AI in Medicine and Healthcare. My work focuses on medical imaging and the implications of generative AI. I have multiple years of experience the academic and industrial world and am working with Daniel Rueckert and Jiazhen Pan.
Now: Ph.D. in AI in Medicine from TUM
2020 - 2023: M.Sc. in Robotics, Cognition, Intelligence from TUM
2016 - 2020: B.Sc. in Medical Engineering from FAU Erlangen
Imaging, Diffusion Models, Autoregressive Generation, Cardiac MRI
Mastered Ctrl+C and Ctrl+V at an Olympic level.
Exploring the frontiers of knowledge
Conducting research on innovative artificial intelligence techniques to enhance cardiac MRI, focusing on improving image reconstruction quality and achieving higher resolution through state-of-the-art superresolution algorithms.
Applying diffusion models and generative AI to healthcare and medical imaging, with a focus on exploring the spectrum between reconstruction and generation.
Developing advanced techniques to tokenize high-dimensional medical data, enabling more effective use of generative AI models in healthcare applications.
Recent contributions to academic literature
Live pages from repositories with GitHub Pages enabled — swipe or use the arrows
Let's collaborate and advance research together
niklas.bubeck@tum.de
Walther-von-Dyck-Straße 4
Galileo 5. OG
85748 Garching bei München
People call me Bubi, but you can call me anytime :P