Search Results for author: Matthias Hehr

Found 2 papers, 1 papers with code

DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

2 code implementations7 Apr 2024 Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia Schnabel, Tingying Peng, Carsten Marr

In hematology, computational models offer significant potential to improve diagnostic accuracy, streamline workflows, and reduce the tedious work of analyzing single cells in peripheral blood or bone marrow smears.

Multiple Instance Learning Transfer Learning

A Study of Age and Sex Bias in Multiple Instance Learning based Classification of Acute Myeloid Leukemia Subtypes

no code implementations24 Aug 2023 Ario Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr

To that end, we train multiple MIL models using different levels of sex imbalance in the training set and excluding certain age groups.

Classification Decision Making +1

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