22 DAILY MICCAI Monday theend?” In this tutorial, she hopes to take this a step further by saying that it depends on the degree of explainability. One of the solutions for computational reproducibility is a system called Guix that allows perfect explainability of the software you are using. However, Sorina says it is a complex technical solution, and not all researchers are ready. The tutorial aims to cater to a broad audience, beginning with an introduction to the fundamentals of reproducibility. “We can’t cover everything, but we’ll try to be methodological and explain which aspects of reproducibility we’ll tackle,” she clarifies. “Then we’ll go into more depth and will be hands-on. The participants must bring their laptops, but we’ll give them all the necessary tools. By the end of the tutorial, we hope they’ll have achieved a minimum level of knowledge about the theoretical questions on reproducibility and the tools and best practices they can adopt to improve their practices.” Although MICCAI is a hybrid event this year, including many of its satellite events, the hands-on elements of this tutorial will only be available for in-person delegates, and Sorina is keen to point out that physical attendance is highly preferable. The tools and best practice examples on offer will have broad applicability. “We’ll be happy to get feedback after this tutorial to see what the participants thought,” she adds. “If there’s a demand, we could bring it to other communities, but I haven’t thought of it yet!” The Make your Results Reproducible with the Virtual Imaging Platform tutorial is on Thursday morning in the Satellite Rooms at Level 1. Sources of Variability in Computer-Based Research Differences in tumor segmentation outputs obtained with two different versions of Brain Tumor Segmentation (BraTS) pipeline on the same input image, as presented in [desligneris2023]. MICCAI Tutorial
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