Work

Explaining Chest X-Ray Pathologies in Natural Language

Year: 2022

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-16443-9_67

Authors: Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej Papiez, Thomas Lukasiewicz

Institutions: University of Oxford, University College London, TU Wien

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: Leverhulme Trust, Deutsche Forschungsgemeinschaft, AXA Research Fund, Engineering and Physical Sciences Research Council, Economic and Social Research Council

Awards: G1562512020, G1633672591, G2881790564, EPSRC Centre for Doctoral Training in Health Data Science, G444630160, The Alan Turing Institute, RealPDBs: Realistic Data Models and Query Compilation for Large-Scale Probabilistic Databases, EXC 2064: Maschinelles Lernen: Neue Perspektiven für die Wissenschaft, G8556661049

OpenAlex ID: W4295916547

FWCI: 1.495

Cites: 31

Cited by: 17

Related to: 10