Work

A deep learning approach to remove motion artifacts in fNIRS data analysis

Year: 2020

Type: conference-paper

Source: Biophotonics Congress: Biomedical Optics

DOI: 10.1364/brain.2020.bm2c.7

Authors: Yuanyuan Gao, Lora Cavuoto, Pingkun Yan, Uwe Kruger, Steven Schwaitzberg, Suvranu De, Xavier Intes

Institutions: Rensselaer Polytechnic Institute, University at Buffalo, State University of New York, Buffalo General Medical Center

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: closed

OpenAlex ID: W3016850854

FWCI: 1.436

Cites: 2

Cited by: 5

Related to: 10