Work

Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology

Year: 2023

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-43990-2_65

Authors: Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Andrew G. Lee, Alireza Tavakkoli

Institutions: University of Nevada, Reno, University of Michigan, Michigan Medicine, Houston Methodist

Language: English

Topic: Advanced Image Processing Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, National Aeronautics and Space Administration, Nuclear Safety and Security Commission

Awards: CC* Compute: Nevada Bridge to AI-enabled Scientific & Engineering Computing (NvBAISEC), RII Track-1: Harnessing the Data Revolution for Fire Science, G8179720856, G9000339037

OpenAlex ID: W4387211514

FWCI: 0.865

Cites: 25

Cited by: 8

Related to: 10