Michael Roberts

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

2020 · 937 Zit. · Research Explorer (The University of Manchester)

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence

2021 · 71 Zit. · Nature Machine Intelligence

REFORMS: Consensus-based Recommendations for Machine-learning-based Science

2024 · 71 Zit. · Science Advances

Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise

2021 · 32 Zit. · Radiology Artificial Intelligence

REFORMS: Reporting Standards for Machine Learning Based Science

2023 · 19 Zit. · arXiv (Cornell University)

Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review

2020 · 17 Zit. · Europe PMC (PubMed Central)

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence

2022 · 7 Zit. · Nature Machine Intelligence

AI and Point of Care Image Analysis for COVID-19

2022 · 0 Zit.

The 2024 generation

2024 · 0 Zit. · Nature Cancer