Richard Osuala

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

2025 · 218 Zit. · BMJ

Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools

2021 · 137 Zit. · Physica Medica

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging

2022 · 71 Zit. · Medical Image Analysis

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)

A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions.

2021 · 12 Zit.

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging

2021 · 3 Zit. · arXiv (Cornell University)

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

2025 · 2 Zit. · IEEE Journal of Biomedical and Health Informatics

Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data

2025 · 2 Zit. · Lecture notes in computer science

Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models

2025 · 0 Zit. · Lecture notes in computer science

Stakeholder Engagement for Trustworthy AI: Experiences and Results from the RadioVal Project on Breast Cancer Imaging

2025 · 0 Zit.

Requirements Engineering for AI-Driven Healthcare Solutions: A Case Study Combining Social Innovation and Multistakeholder Engagement (Preprint)

2025 · 0 Zit.