Deep learning-based motion artifact removal in functional near-infrared spectroscopy

Author:

Gao Yuanyuan1,Chao Hanqing2,Cavuoto Lora3,Yan Pingkun1,Kruger Uwe1,Norfleet Jack E.4,Makled Basiel A.4,Schwaitzberg Steven5,De Suvranu1,Intes Xavier1

Affiliation:

1. Rensselaer Polytechnic Institute, Center for Modeling, Simulation and Imaging in Medicine, Troy, New

2. Rensselaer Polytechnic Institute, Department of Biomedical Engineering, Troy, New York

3. University at Buffalo, Department of Industrial and Systems Engineering, Buffalo, New York

4. U.S. Army Combat Capabilities Development Command–Soldier Center, Orlando, Florida

5. University at Buffalo, Department of Surgery, Buffalo, New York

Funder

National Institute of Biomedical Imaging and Bioengineering

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Neuroscience (miscellaneous)

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