Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, ...

Fully convolutional networks were developed for predicting optimal dose distributions for patients with left-sided breast cancer and compared the prediction accuracy between two-dimensional and ...

BACKGROUND: A 3-dimensional hyperboloid model has been proposed to characterize ventricular tachycardia (VT) circuitry. We ...

This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...