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Anabel Stammer

Frau M.Sc.

Doktorandin B2
Eberhard Karls Universität Tübingen
Fachbereich Informatik, Computergrafik

Kontakt

Maria-von-Linden-Straße 6
72076 Tübingen
Deutschland

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Fachgebiet

Publications
A. Stammer, V. Bundele, M. Hosseinzadeh, H. P. A. Lensch, Learning Where o Focus: Self-Supervised Multi-Scale ViTs for Histopathology, GCPR 2026. 

Research Interests
Medical Image Analysis · Computational Histopathology · Computer Vision · Vision Transformers · Self-Supervised Learning · Efficient Deep Learning · Biomedical Data Analysis 
Education 
10/2022-03/2025
M.Sc. Medical Informatics, Eberhard Karls University of Tübingen
Thesis: Efficient Vision Transformer for Histopathological Image Classification 
10/2018-09/2022
B.Sc. Medical Informatics, Eberhard Karls University of Tübingen
Thesis: Growing and evaluating neural network structures from dissociated neurons 
Publications
A. Stammer, V. Bundele, M. Hosseinzadeh, H. P. A. Lensch, Learning Where o Focus: Self-Supervised Multi-Scale ViTs for Histopathology, GCPR 2026. 
Technical Skills
Research areas:  Deep Learning, Computer Vision, Medical Data Science, Neural Data Analysis, Sequence Bioinformatics 
Frameworks: PyTorch, PyTorch Lightning, Hugging Face, Timm, NumPy/SciPy, OpenCV, Matplotlib
Engineering: Python, R, Java, Haskell, CUDA basics, Weights & Biases, large-scale data pipelines
Modelling:  Generative Model (cGAN), Vision-Language Model (Medical Multi-Modal setup), DINO

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