Work

Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges

Year: 2022

Type: conference-paper

Source: Proceedings - International Conference on Image Processing

DOI: 10.1109/icip46576.2022.9897629

Authors: Guang Yang, Arvind Rao, Christine Fernandez-Maloigne, Vince Calhoun, Gloria Menegaz

Institutions: Imperial College London, University of Michigan, Centre National de la Recherche Scientifique, Université de Poitiers, Georgia Institute of Technology, Center for Translational Research in Neuroimaging and Data Science, University of Verona

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, University of Michigan, Medical Research Council

Award: G207202694

OpenAlex ID: W4308235820

FWCI: 1.52

Cites: 25

Cited by: 18

Related to: 10