Esther Puyol‐Antón

Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation

2022 · 66 Zit. · Frontiers in Cardiovascular Medicine

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

2021 · 24 Zit. · Lecture notes in computer science

A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation

2022 · 14 Zit. · Lecture notes in computer science

Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-based Segmentation

2021 · 13 Zit.

An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation

2023 · 8 Zit. · Lecture notes in computer science

Large-scale, multi-vendor, multi-protocol, quality-controlled analysis of clinical cine CMR using artificial intelligence

2021 · 8 Zit. · European Heart Journal - Cardiovascular Imaging

An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation

2023 · 1 Zit. · arXiv (Cornell University)

A systematic study of race and sex bias in CNN-based cardiac MR segmentation

2022 · 1 Zit. · arXiv (Cornell University)

Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training

2023 · 0 Zit. · arXiv (Cornell University)

Does a Rising Tide Lift All Boats? Bias Mitigation for AI-Based CMR Segmentation

2025 · 0 Zit. · Lecture notes in computer science

Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction

2021 · 0 Zit. · arXiv (Cornell University)

Improving the Scan-Rescan Precision of AI-Based CMR Biomarker Estimation

2025 · 0 Zit. · Lecture notes in computer science

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to\n Data Imbalance in Deep Learning Based Segmentation

2021 · 0 Zit. · arXiv (Cornell University)