Alexander Möllers
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
Marie-Lisa Eich, Kai Standvoss, Timo Milbich, Alexander Möllers, Miriam Hägele, Philipp Anders, Lars Tharun, Hanna Kontradiuk, Sebastian Kons, Nader Aldoj, Recepcan Adigüzel, Adam Narai, Lukas Hönig, Jonathan Striebel, Binru Yang, Mihnea P. Dragomir, Marvin Sextro, Philipp Keyl, Philipp Jurmeister, Rosemarie Krupar, Evelyn Ramberger, James Wells, Julika Ribbat-Idel, Andreas Kunft, Hussam Shuaib, Christian Grohé, Reinhard Büttner, David Horst, Klaus-Robert Müller, Lukas Ruff, Maximilian Alber, Frederick Klauschen, Simon Schallenberg
LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology
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