no code implementations • 29 Feb 2024 • Sarina Thomas, Cristiana Tiago, Børge Solli Andreassen, Svein Arne Aase, Jurica Šprem, Erik Steen, Anne Solberg, Guy Ben-Yosef
Although deep learning techniques have been successful in achieving this, they still struggle with fully verifying the suitability of an image for specific measurements due to factors like the correct location, pose, and potential occlusions of cardiac structures.
3 code implementations • 2 Oct 2023 • Gilles Van De Vyver, Sarina Thomas, Guy Ben-Yosef, Sindre Hellum Olaisen, Håvard Dalen, Lasse Løvstakken, Erik Smistad
We propose a graph architecture that uses two convolutional rings based on cardiac anatomy and show that this eliminates anatomical incorrect multi-structure segmentations on the publicly available CAMUS dataset.
1 code implementation • 6 Jul 2022 • Sarina Thomas, Andrew Gilbert, Guy Ben-Yosef
In particular, segmentations of the left ventricle can be used to derive ventricular volume, ejection fraction (EF) and other relevant measurements.
Ranked #2 on on Echonet-Dynamic
no code implementations • 17 Oct 2021 • Guy Ben-Yosef, Liav Assif, Daniel Harari, Shimon Ullman
We describe a computational model of humans' ability to provide a detailed interpretation of components in a scene.
no code implementations • 25 Apr 2021 • 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.
1 code implementation • 19 Apr 2021 • 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 understood.
no code implementations • ICLR 2019 • Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix
Ullman et al. 2016 show that a slight modification of the location and size of the visible region of the minimal image produces a sharp drop in human recognition accuracy.
no code implementations • 24 May 2018 • Cristina Mata, Guy Ben-Yosef, Boris Katz
Many deep learning architectures for semantic segmentation involve a Fully Convolutional Neural Network (FCN) followed by a Conditional Random Field (CRF) to carry out inference over an image.
no code implementations • 26 Dec 2017 • Guy Ben-Yosef, Alon Yachin, Shimon Ullman
Understanding social interactions (such as 'hug' or 'fight') is a basic and important capacity of the human visual system, but a challenging and still open problem for modeling.
no code implementations • 29 Nov 2017 • Guy Ben-Yosef, Liav Assif, Shimon Ullman
We model the process of human full interpretation of object images, namely the ability to identify and localize all semantic features and parts that are recognized by human observers.