5 citations · 23 across the 9 of their papers we have counts for
9 papers
Towards Robust Cardiac Segmentation using Graph Convolutional Networks
Gilles Van De Vyver, Sarina Thomas, Guy Ben-Yosef +4
Fully automatic cardiac segmentation can be a fast and reproducible method to extract clinical measurements from an echocardiography examination. The U-Net architecture is the curr…
Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound
Sarina Thomas, Andrew Gilbert, Guy Ben-Yosef
Accurate and consistent predictions of echocardiography parameters are important for cardiovascular diagnosis and treatment. In particular, segmentations of the left ventricle can…
A model for full local image interpretation
Guy Ben-Yosef, Liav Assif, Daniel Harari +1
We describe a computational model of humans' ability to provide a detailed interpretation of components in a scene. Humans can identify in an image meaningful components almost eve…
Parallel mesh reconstruction streams for pose estimation of interacting hands
Uri Wollner, Guy Ben-Yosef
We present a new multi-stream 3D mesh reconstruction network (MSMR-Net) for hand pose estimation from a single RGB image. Our model consists of an image encoder followed by a mesh-…
What can human minimal videos tell us about dynamic recognition models?
Guy Ben-Yosef, Gabriel Kreiman, Shimon Ullman
In human vision objects and their parts can be visually recognized from purely spatial or purely temporal information but the mechanisms integrating space and time are poorly under…
Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images
Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix
The human ability to recognize objects is impaired when the object is not shown in full. "Minimal images" are the smallest regions of an image that remain recognizable for humans.…