L. Cerdá Alberich

Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects

2023 · 71 Zit. · European Radiology Experimental

A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data

2022 · 39 Zit. · European Radiology Experimental

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

2023 · 38 Zit. · arXiv (Cornell University)

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

2021 · 12 Zit. · arXiv (Cornell University)

Foundation models for radiology—the position of the AI for Health Imaging (AI4HI) network

2025 · 7 Zit. · Insights into Imaging

A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines

2025 · 3 Zit. · IEEE Journal of Biomedical and Health Informatics

How the First Medical Imaging Cancer Atlas EUCAIM Was Populated: The Experience of a Reference Hospital.

2025 · 0 Zit. · Open Research Europe

The Challenge of Data Scarcity and Imbalanced Classes in Radiomics Performance

2025 · 0 Zit. · SSRN Electronic Journal

Development and validation of synthetic data generation over a federated learning computing framework to accelerate innovation and boost personalized medicine in hematological diseases

2025 · 0 Zit. · Blood

Era of AI Quantitative Imaging

2023 · 0 Zit. · Imaging informatics for healthcare professionals