Enzo Ferrante

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis

2020 · 608 Zit. · Proceedings of the National Academy of Sciences

Addressing fairness in artificial intelligence for medical imaging

2022 · 188 Zit. · Nature Communications

Class imbalance on medical image classification: towards better evaluation practices for discrimination and calibration performance

2024 · 43 Zit. · European Radiology

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis

2020 · 40 Zit. · Lecture notes in computer science

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

2023 · 38 Zit. · arXiv (Cornell University)

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

2025 · 5 Zit.

Impact of class imbalance on chest x-ray classifiers: towards better evaluation practices for discrimination and calibration performance

2021 · 2 Zit. · arXiv (Cornell University)

Open challenges on fairness of artificial intelligence in medical imaging applications

2025 · 1 Zit. · Elsevier eBooks

Unsupervised Bias Discovery in Medical Image Segmentation

2023 · 1 Zit. · Lecture notes in computer science

Machine learning in connectomics: from representation learning to model fitting

2023 · 1 Zit. · Elsevier eBooks

Unsupervised bias discovery in medical image segmentation

2023 · 0 Zit. · arXiv (Cornell University)

Fairness and Robustness of CLIP-Based Models for Chest X-Rays

2025 · 0 Zit. · Lecture notes in computer science

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI

2025 · 0 Zit. · Lecture notes in computer science