Mauricio Reyes

On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

2020 · 450 Zit. · Radiology Artificial Intelligence

Metrics reloaded: recommendations for image analysis validation

2024 · 345 Zit. · Nature Methods

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

2024 · 250 Zit. · Radiology Artificial Intelligence

Understanding metric-related pitfalls in image analysis validation

2024 · 154 Zit. · Nature Methods

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging

2024 · 48 Zit. · npj Digital Medicine

Interpretability-Guided Inductive Bias For Deep Learning Based Medical Image

2022 · 40 Zit. · Medical Image Analysis

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · arXiv (Cornell University)

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review

2025 · 5 Zit.

Correction to: Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

2019 · 2 Zit. · Lecture notes in computer science

A comprehensive multifaceted technical evaluation framework for implementation of auto-segmentation models in radiotherapy

2025 · 0 Zit. · Communications Medicine

Interpretable AI for medical image analysis: methods, evaluation, and clinical considerations

2025 · 0 Zit. · Elsevier eBooks