8 citations · 9 across the 2 of their papers we have counts for
3 papers
Glyph: An Interpretability Engine for AI-Driven Scientific Discovery in Clinical Data
Robbie Holland, Ashwin Kumar, Mateus A. Esmeraldo +19
Automated scientific discovery has the potential to advance understanding of disease mechanisms and accelerate identification of early disease markers. Manual data annotation is in…
Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
Stefania L. Moroianu, Christian Bluethgen, Pierre Chambon +8
Achieving robust performance and fairness across diverse patient populations remains a challenge in developing clinically deployable deep learning models for diagnostic imaging. Sy…
The Acoustic Resonant Drag Instability with a Spectrum of Grain Sizes
Jonathan Squire, Stefania Moroianu, Philip F. Hopkins
We study the linear growth and nonlinear saturation of the "acoustic Resonant Drag Instability" (RDI) when the dust grains, which drive the instability, have a wide, continuous spe…