Work

Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging

Year: 2014

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-10443-0_33

Authors: Gemma L. Nedjati-Gilani, Torben Schneider, Matt G. Hall, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander

Institutions: University College London, UCL Queen Square Institute of Neurology

Language: English

Topic: Advanced Neuroimaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

Awards: Direct Measurements of Microstructure from MRI, G7628549173

OpenAlex ID: W4254205271

FWCI: 8.687

Cites: 13

Cited by: 20

Related to: 10