We present a deep learning model, dubbed Glissando-Net, to simultaneously estimate the pose and reconstruct the 3D shape of objects at the category level from a single RGB image. Previous works ...

To carry out cell counting, it is common to use neural network models with an encoder-decoder structure to generate regression density maps. In the encoder-decoder structure, skip connections are ...

This project utilizes a U-Net model for heart image segmentation, enabling the calculation of heart volume necessary for ejection fraction (EF) estimation. The volume is computed using Simpson’s ...