2 papers
cs.CV2026
Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization
Ben Isselmann, Dilara Göksu, Heinz Neumann +1
Background: Task-specific microscopy datasets are often small, making it difficult to train deep learning models that learn robust features. While self-supervised learning (SSL) ha…
cs.CV2026
Generalization of Self-Supervised Vision Transformers for Protein Localization Across Microscopy Domains
Ben Isselmann, Dilara Göksu, Andreas Weinmann
Task-specific microscopy datasets are often too small to train deep learning models that learn robust feature representations. Self-supervised learning (SSL) can mitigate this by p…