Machine Learning for Biomedical Imaging A Data-Interventional Framework for Auditing Privacy and Fairness in Generative Medical Imaging
Mischa Dombrowski, Bernhard Kainz, Lisa M. Koch et al.
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Machine Learning for Biomedical Imaging Knowledge-based anomaly detection for identifying network-induced shape artifacts
Rucha Deshpande, Tahsin Rahman, Miguel A. Lago et al.
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Machine Learning for Biomedical Imaging Learning from Scarce Labels: Multi-View Echocardiography for Ejection Fraction Prediction
This work creates the first publicly available resource for predicting left ventricular ejection fraction (EF) from parasternal long-axis (PLAX) echocardiography by leveraging a time-based correlation between clinical notes and echocardiographic videos and fine-tuning view classifiers and proxy labeling.
Zhiyuan Gao, Dominic Yurk, Yaser Abu-Mostafa et al.
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