Skip to main content

and
  1. Chapter and Conference Paper

    Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI

    Cardiac functional parameters, such as, the Ejection Fraction (EF) and Cardiac Output (CO) of both ventricles, are most immediate indicators of normal/abnormal cardiac function. To compute these parameters, ac...

    Le Zhang, Marco Pereañez, Stefan K. Piechnik in Medical Image Computing and Computer Assis… (2018)

  2. Chapter and Conference Paper

    Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

    Cardiac motion estimation and segmentation play important roles in quantitatively assessing cardiac function and diagnosing cardiovascular diseases. In this paper, we propose a novel deep learning method for j...

    Chen Qin, Wenjia Bai, Jo Schlemper in Medical Image Computing and Computer Assis… (2018)