Work

Flexible Bayesian Modelling for Nonlinear Image Registration

Year: 2020

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-59716-0_25

Authors: Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner

Institutions: Wellcome Centre for Human Neuroimaging, University College London, UCL Queen Square Institute of Neurology

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institute for Health and Care Research, University College London, Medical Research Council, Engineering and Physical Sciences Research Council

Awards: EPSRC Centre for Doctoral Training in Medical Imaging, G2834132638, G3427088651, G4430103938, Understanding the mechanisms of atrophy associated with spinal cord injury: the application of MRI-based in vivo histology and ex vivo histology, G696815201, G7765275075

OpenAlex ID: W3033395787

FWCI: 1.036

Cites: 38

Cited by: 30

Related to: 10