283 citations · 289 across the 4 of their papers we have counts for
4 papers
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
Nicolás Gaggion, Benjamin A. Matheson, Yan Xia +6
Cardiovascular magnetic resonance imaging is emerging as a crucial tool to examine cardiac morphology and function. Essential to this endeavour are anatomical 3D surface and volume…
Non-rigid Medical Image Registration using Physics-informed Neural Networks
Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed +4
Biomechanical modelling of soft tissue provides a non-data-driven method for constraining medical image registration, such that the estimated spatial transformation is considered b…
Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes
Shaheer U. Saeed, Zeike A. Taylor, Mark A. Pinnock +3
In this paper, we propose to train deep neural networks with biomechanical simulations, to predict the prostate motion encountered during ultrasound-guided interventions. In this a…
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Marc Combalia, Veronica Vilaplana
We propose a patch sampling strategy based on a sequential Monte-Carlo method for high resolution image classification in the context of Multiple Instance Learning. When compared w…