Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
IEEE

A Transfer Learning Approach for Deformation Pattern Recognition in InSAR Time Series

Abstract: The multiepoch interferometry synthetic aperture radar (InSAR) technique is a widely applied geodetic tool for measuring surface displacement. Yet, traditional interpretations of InSAR ...
IEEE

SAR Target Depression Angle Invariant Recognition of Few-Shot Learning Via Dense Graph Prototype Network

Abstract: Recently, significant advancements have been made in few-shot learning (FSL) methods based on metric learning, which have been widely applied to synthetic aperture radar (SAR) automatic ...