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Andreanne Lemay

Improving the repeatability of deep learning models with Monte Carlo dropout

Feb 15, 2022
Andreanne Lemay, Katharina Hoebel, Christopher P. Bridge, Brian Befano, Silvia De Sanjosé, Diden Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer

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* arXiv admin note: text overlap with arXiv:2111.06754

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Monte Carlo dropout increases model repeatability

Nov 12, 2021
Andreanne Lemay, Katharina Hoebel, Christopher P. Bridge, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer

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* Machine Learning for Health (ML4H) at NeurIPS 2021 - Extended Abstract

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Evaluating subgroup disparity using epistemic uncertainty in mammography

Jul 15, 2021
Charles Lu, Andreanne Lemay, Katharina Hoebel, Jayashree Kalpathy-Cramer

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* Accepted to the Interpretable Machine Learning in Healthcare workshop at the ICML 2021 conference

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