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cs.CV2026
Physics-Aligned Self-Supervised Learning for Scientific Imaging
Bashir Kazimi, Stefan Sandfeld
Data augmentations define the invariances learned by self-supervised learning (SSL). Standard augmentation pipelines were designed for natural images, yet scientific imaging modali…
cs.CV2024
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy
Bashir Kazimi, Karina Ruzaeva, Stefan Sandfeld
In this work, we explore the potential of self-supervised learning with Generative Adversarial Networks (GANs) for electron microscopy datasets. We show how self-supervised pretrai…