Work

Global and Local Interpretability for Cardiac MRI Classification

Year: 2019

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-32251-9_72

Authors: James R. Clough, Ilkay Oksuz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel

Institution: King's College London

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Nvidia, Engineering and Physical Sciences Research Council, Menzies Centre for Australian Studies, King's College London, University of London, Centre For Medical Engineering, King’s College London

Awards: G1247657515, G1435826916, G1961329086, SmartHeart: Next-generation cardiovascular healthcare via integrated image acquisition, reconstruction, analysis and learning, G3842836504, EPSRC-NIHR HTC Partnership Award 'Plus': Medical Image Analysis Network (MedIAN), G5296857752, EPSRC-NIHR HTC Partnership Award: Medical Image Analysis Network, G8303168876, G938335843, G961285871

OpenAlex ID: W2949476443

FWCI: 2.447

Cites: 17

Cited by: 76

Related to: 10