Fingerprint
Dive into the research topics of 'Improving the repeatability of deep learning models with Monte Carlo dropout'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
Improving the repeatability of deep learning models with Monte Carlo dropout
Andreanne Lemay, Katharina Hoebel, Christopher P. Bridge, Brian Befano, Silvia De Sanjosé, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer
Research output: Contribution to journal › Article › peer-review
14
Scopus
citations