1 citations · 1 across the 1 of their papers we have counts for
3 papers · 1 filter
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…
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp +67
Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI an…
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…