2 citations · 2 across the 3 of their papers we have counts for
3 papers
Preserving Marker Specificity with Lightweight Channel-Independent Representation Learning
Simon Gutwein, Arthur Longuefosse, Jun Seita +2
Multiplexed tissue imaging measures dozens of protein markers per cell, yet most deep learning models still apply early channel fusion, assuming shared structure across markers. We…
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…
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…