Work

Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures

Year: 2021

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-87240-3_32

Authors: Fernando Pérez-García, Catherine Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin

Institutions: King's College London, Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, National Hospital for Neurology and Neurosurgery, UCL Queen Square Institute of Neurology

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funders: Wellcome Trust, Wellcome / EPSRC Centre for Interventional and Surgical Sciences, Engineering and Physical Sciences Research Council

Awards: G192619431, G2949866224, G3971574842, EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare (i4health), Navigation to improve outcome of epilepsy surgery, Navigation to improve outcome of epilepsy surgery, G8686463902, G985999274

OpenAlex ID: W3173850561

FWCI: 5.652

Cites: 24

Cited by: 22

Related to: 10