Github Code
Studon Link
1 Topics
- Intro
- Convolutional Neural Networks in Microscopy
- Generative Adversarial Networks in Microscopy
- Transformers in Microscopy
- Self-Supervised Learning in Microscopy
- Transfer Learning in Microscopy
2 Schedule
2.1 Session 1: Intro (17.10.2025)
2.2 Sessions 2-5: Journal Club 24.10.25 - 21.11.25
2.3 Session 6: 28.11.25 - Talks 1 - 2
2.4 Session 7: 05.12.25 - Talks 3 - 4
2.5 Session 8: 12.12.25 - Talks 5 - 6
2.6 Session 9: 19.12.25 - Talks 7 - 8
2.7 Session 10: 26.12.25 - Talks 9 - 10
References
Citation
BibTeX citation:
@online{pelz2025,
author = {Pelz, Philipp},
title = {Seminar {Machine} {Learning} for {Microscopy} {WS} 25},
date = {2025-09-07},
langid = {en}
}
For attribution, please cite this work as:
Pelz, Philipp. 2025. “Seminar Machine Learning for Microscopy WS
25.” Friedrich-Alexander Universitaet Erlangen-Nuernberg.
September 7, 2025.