2 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration
Zachary MC Baum, Yipeng Hu, Dean C Barratt
Neural networks have been proposed for medical image registration by learning, with a substantial amount of training data, the optimal transformations between image pairs. These tr…
Learning Generalized Non-Rigid Multimodal Biomedical Image Registration from Generic Point Set Data
Zachary MC Baum, Tamas Ungi, Christopher Schlenger +2
Free Point Transformer (FPT) has been proposed as a data-driven, non-rigid point set registration approach using deep neural networks. As FPT does not assume constraints based on p…
Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels
Liam F Chalcroft, Jiongqi Qu, Sophie A Martin +8
When developing deep neural networks for segmenting intraoperative ultrasound images, several practical issues are encountered frequently, such as the presence of ultrasound frames…