Fundamentals on Transparency, Reproducibility and Validation - Archive ouverte HAL
Chapitre D'ouvrage Année : 2024

Fundamentals on Transparency, Reproducibility and Validation

Résumé

Transparency, reproducibility, and validation are fundamental concepts in research. Their definitions may vary among research disciplines (sometimes even lacking global agreement), but they all share common elements and practices. This chapter introduces the three concepts. Then, after discussing their definitions and interconnections, it illustrates their role in three main components of medical imaging studies — analyses, software, and data. For the three components, the chapter introduces methods and practical tools such as cross-validation, pre-registration, notebooks, code and data sharing, containerization, continuous integration, test-retest analysis, data quality, and challenges. Finally, some of these tools are illustrated through a concrete example from an ongoing initiative.
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Dates et versions

hal-04649249 , version 1 (16-07-2024)

Identifiants

  • HAL Id : hal-04649249 , version 1

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Sorina Camarasu-Pop, Gaël Vila, Tristan Glatard, Axel Bonnet, Carole Frindel, et al.. Fundamentals on Transparency, Reproducibility and Validation. Trustworthy AI for Medical Imaging, In press. ⟨hal-04649249⟩
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