Clara I. Sá‎nchez

Metrics reloaded: recommendations for image analysis validation

2024 · 338 Zit. · Nature Methods

Understanding metric-related pitfalls in image analysis validation

2024 · 154 Zit. · Nature Methods

Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

2020 · 144 Zit. · Radiology

Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice

2021 · 92 Zit. · Progress in Retinal and Eye Research

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · arXiv (Cornell University)

Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison

2021 · 16 Zit. · IEEE Transactions on Artificial Intelligence

Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool

2024 · 9 Zit. · Scientific Reports

Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study

2020 · 7 Zit. · arXiv (Cornell University)

A quantitative comparison between human experts and AI at estimating tumor-stroma ratio

2025 · 0 Zit.