Alexander Möllers
Doctoral Researcher
Affiliation: BIFOLD
Master’s in Applied Mathematics. Interested in designing new machine learning methods to improve our understanding of cancer and how it is diagnosed.
Pathology, Cancer, In-Context Learning, Representation Learning
Alexander Möllers, Marvin Sextro, Julius Hense, Gabriel Dernbach, Klaus-Robert Müller
In-Context Multiple Instance Learning
Alexander Möllers, Julius Hense, Florian Schulz, Timo Milbich, Maximilian Alber, Lukas Ruff
Mind the Gap: Continuous Magnification Sampling for Pathology Foundation Models
Alexander Möllers, Timo Milbich, Maximilian Alber, Lukas Ruf