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A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation
Springer Verlag | 2023|Contributors: Puyol-Antón, Esther -
A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation
British Library Conference Proceedings | 2022| -
Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training
Free accessArXiv | 2023| -
Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views
Free accessArXiv | 2023| -
A systematic study of race and sex bias in CNN-based cardiac MR segmentation
Free accessArXiv | 2022| -
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients
Springer Verlag | 2020| -
Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data
Springer Verlag | 2018| -
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients
Free accessArXiv | 2020| -
An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation
Springer Verlag | 2023|Contributors: Puyol Antón, Esther
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