63 citations · 98 across the 12 of their papers we have counts for
4 papers · 1 filter
Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging
Simon Gutwein, Daria Lazic, Thomas Walter +2
Multiplex Imaging (MI) enables the simultaneous visualization of multiple biological markers in separate imaging channels at subcellular resolution, providing valuable insights int…
Evaluating Synthetic Data Generation for Domain Generalization in Fetal Brain MRI Segmentation
Vladyslav Zalevskyi, Thomas Sanchez, Margaux Roulet +10
Fetal brain tissue segmentation from magnetic resonance imaging (MRI) is crucial for studying neurodevelopment, but remains challenging due to data heterogeneity and limited annota…
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection
Simon Gutwein, Martin Kampel, Sabine Taschner-Mandl +1
Detecting genetic aberrations is crucial in cancer diagnosis, typically through fluorescence in situ hybridization (FISH). However, existing FISH image classification methods face…
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results
Kelly Payette, Céline Steger, Roxane Licandro +64
Segmentation is a critical step in analyzing the developing human fetal brain. There have been vast improvements in automatic segmentation methods in the past several years, and th…