10 citations · 12 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2020
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…
cs.LG2018
Adversarial Deformation Regularization for Training Image Registration Neural Networks
Yipeng Hu, Eli Gibson, Nooshin Ghavami +6
We describe an adversarial learning approach to constrain convolutional neural network training for image registration, replacing heuristic smoothness measures of displacement fiel…