Eddy current testing is one of the most extensively used methods for defect detection. In eddy current testing, the trajectory of the impedance data when scanning a crack is presented as a Lissajous ...

In this paper, we introduce the “Automatic Cardiac Diagnosis Challenge” dataset (ACDC), the largest publicly available and fully annotated dataset for the purpose of cardiac MRI (CMR) assessment. The ...

In this paper, we present a new feedback method to automatically servo-control the 3-D shape of soft objects with robotic manipulators. The soft object manipulation problem has recently received a ...

We investigate the capabilities of automatic nonverbal behavior descriptors to identify indicators of psychological disorders such as depression, anxiety, and post-traumatic stress disorder. We seek ...

Accurate and efficient pixel-level pavement crack detection is critically important for traffic management. Despite the improved performance on current deep learning-based detection methods, they ...