6 citations · 15 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
Instance Segmentation of Dislocations in TEM Images
Karina Ruzaeva, Kishan Govind, Marc Legros +1
Quantitative Transmission Electron Microscopy (TEM) during in-situ straining experiment is able to reveal the motion of dislocations -- linear defects in the crystal lattice of met…
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategy
Karina Ruzaeva, Jan-Christopher Cohrs, Keitaro Kasahara +3
Cell tracking is an essential tool in live-cell imaging to determine single-cell features, such as division patterns or elongation rates. Unlike in common multiple object tracking,…
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis
Karina Ruzaeva, Katharina Nöh, Benjamin Berkels
In this paper, we propose a hybrid approach for multi-object microbial cell segmentation. The approach combines an ML-based detection with a geometry-aware variational-based segmen…