Generative Models in medical applications, especially GANs
Applied Causal Inference in Deep Learning
Contrastive Learning
Medical Imaging, Structural MRIs and fMRIs
Current project(s):
SyReal ( a BMBF-funded consortium project): The goal is to use realistic synthetic medical images to reduce bias in medical applications. Here modified StyleGANs is used to generate MR Imagings.
Teaching Activities
Tutor & Administration in "Introduction to Deep Learning" / "Deep Learning" in SS22 (Summer semester 2022).
Tutor for projects in Advanced Machine Learning Seminar in SS22 - ongoing WS22/23.
Contact
Chair Representative:
Prof. Dr. Christoph Lippert Professor for Digital Health & Machine Learning Room: G-2.1.23 Tel.: +49-(0)331 5509-4850 E-Mail: office-lippert(at)hpi.de
Office:
Campus III, Haus G2 Room: G-2.1.22 Tel.: +49-(0)331 5509-4850 Fax: +49-(0)331 5509-4849 E-Mail: office-lippert(at)hpi.de
Visiting address:
Campus III Building G2 Rudolf-Breitscheid-Straße 187 14482 Potsdam, Germany