Work

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

Year: 2017

Type: conference-paper

Source: Lecture notes in computer science

Parent work: Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings

DOI: 10.1007/978-3-319-59050-9_28

Authors: Wenqi Li, Guotai Wang, Lucas Fidon, Sebastien Ourselin, M. Jorge Cardoso, Tom Vercauteren

Institution: University College London

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Wellcome Trust, National Institute for Health and Care Research, University College London, University College London Hospitals NHS Foundation Trust, Engineering and Physical Sciences Research Council, Science and Technology Facilities Council

Awards: EPSRC Centre for Doctoral Training in Medical Imaging, G1677518145, G2408009129, G6408001078, G6624753136, Novel multimodality imaging techniques for neurosurgical planning and stereotactic navigation in epilepsy surgery, G696815201

OpenAlex ID: W2618677231

FWCI: 10.59

Cites: 21

Cited by: 341

Related to: 9