1 citations · 1 across the 3 of their papers we have counts for
3 papers · 1 filter
Improved cystic hygroma detection from prenatal imaging using ultrasound-specific self-supervised representation learning
Youssef Megahed, Robin Ducharme, Inok Lee +4
Cystic hygroma is a high-risk prenatal ultrasound finding that portends high rates of chromosomal abnormalities, structural malformations, and adverse pregnancy outcomes. Automated…
CAManim: Animating end-to-end network activation maps
Emily Kaczmarek, Olivier X. Miguel, Alexa C. Bowie +6
Deep neural networks have been widely adopted in numerous domains due to their high performance and accessibility to developers and application-specific end-users. Fundamental to i…
MetaCAM: Ensemble-Based Class Activation Map
Emily Kaczmarek, Olivier X. Miguel, Alexa C. Bowie +6
The need for clear, trustworthy explanations of deep learning model predictions is essential for high-criticality fields, such as medicine and biometric identification. Class Activ…