Reproducibility is often seen as an important cornerstone for the advancement of science. But what does it actually mean and how does it affect your daily work? In this workshop, we will explore different types of reproducibility, strategies to improve it, and also some probabilistic thoughts on why we will never achieve full reproducibility.
Requirements: A laptop.
In this workshop on image prevalidation, we will introduce the importance of ensuring that image data is suitable for the analysis it is intended for. Images can contain hidden quality issues, inconsistencies, or artifacts that can impact analysis results, often in subtle ways. Through real-world examples, we will explore how to detect these challenges early on, discussing image quality and...
