ArticleNeurophotonics2022
Deep learning-based motion artifact removal in functional near-infrared spectroscopy.
Abstract read
In one paragraph
Article in Neurophotonics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20citing papers in PubMed
–field-weighted citation impact
What it found
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Who cites it
20 citing papers in PubMed.
- Advances in fully integrated wearable near-infrared spectroscopy: hardware innovations and biomedical applications.JPhys photonics · 2026Review
- Synthetic-data-driven LSTM framework for tracing cardiac pulsation in optical signals.Biomedical optics express · 2025Article
- Transformer-based deep learning model for predicting fNIRS short-channel signals.Neurophotonics · 2025Article
- A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Predicting upper limb motor dysfunction after ischemic stroke: a functional near-infrared spectroscopy-based nomogram model.Frontiers in neurology · 2025Article
- Enhanced Joint Heart and Respiratory Rates Extraction from Functional Near-infrared Spectroscopy Signals Using Cumulative Curve Fitting Approximation.Journal of medical signals and sensors · 2025Article
- NiReject: toward automated bad channel detection in functional near-infrared spectroscopy.Neurophotonics · 2024Article
- Disentangling the impact of motion artifact correction algorithms on functional near-infrared spectroscopy-based brain network analysis.Neurophotonics · 2024Article
- An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection.IEEE transactions on very large scale integration (VLSI) systems · 2024Article
- Article
- CGAN-rIRN: a data-augmented deep learning approach to accurate classification of mental tasks for a fNIRS-based brain-computer interface.Biomedical optics express · 2023Article
- A Machine Learning Framework for Diagnosing and Predicting the Severity of Coronary Artery Disease.Reviews in cardiovascular medicine · 2023Article
- System Derived Spatial-Temporal CNN for High-Density fNIRS BCI.IEEE open journal of engineering in medicine and biology · 2023Article
- Learning based motion artifacts processing in fNIRS: a mini review.Frontiers in neuroscience · 2023Review
- Optical neuroimaging and neurostimulation in surgical training and assessment: A state-of-the-art review.Frontiers in neuroergonomics · 2023Review
- Deep learning in fNIRS: a review.Neurophotonics · 2022Review
- Special Section Guest Editorial: Computational Approaches for Neuroimaging.Neurophotonics · 2022Article
- Review
- Deep-learning informed Kalman filtering for priori-free and real-time hemodynamics extraction in functional near-infrared spectroscopy.Biomedical optics express · 2022Article
- Motion artifacts removal and evaluation techniques for functional near-infrared spectroscopy signals: A review.Frontiers in neuroscience · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Yuanyuan GaoRensselaer Polytechnic Institute, Center for Modeling, Simulation and Imaging in Medicine, Troy, New York, United States.ORCID https://orcid.org/0000-0002-2904-5021
Hanqing ChaoRensselaer Polytechnic Institute, Department of Biomedical Engineering, Troy, New York, United States.
Lora CavuotoUniversity at Buffalo, Department of Industrial and Systems Engineering, Buffalo, New York, United States.ORCID https://orcid.org/0000-0003-4717-8378
Pingkun YanRensselaer Polytechnic Institute, Center for Modeling, Simulation and Imaging in Medicine, Troy, New York, United States.ORCID https://orcid.org/0000-0002-9779-2141
Uwe KrugerRensselaer Polytechnic Institute, Center for Modeling, Simulation and Imaging in Medicine, Troy, New York, United States.
Jack E NorfleetU.S. Army Combat Capabilities Development Command-Soldier Center, Orlando, Florida, United States.
Basiel A MakledU.S. Army Combat Capabilities Development Command-Soldier Center, Orlando, Florida, United States.
Steven SchwaitzbergUniversity at Buffalo, Department of Surgery, Buffalo, New York, United States.
Suvranu DeRensselaer Polytechnic Institute, Center for Modeling, Simulation and Imaging in Medicine, Troy, New York, United States.
Xavier IntesRensselaer Polytechnic Institute, Center for Modeling, Simulation and Imaging in Medicine, Troy, New York, United States.ORCID https://orcid.org/0000-0001-5868-4845
Funding
Physically Realistic Virtual SurgeryR01EB005807 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU, JACKSON, CULLEN DAVIS · 2006 to 2024
$7.0MDeveloping Physics-Based Virtual Simulation Technology for Natural Orifice TranslR01EB009362 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2011 to 2014
$2.6MDevelopment and Validation of a Virtual Electrosurgical Skill Trainer (VEST)R01EB014305 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2012 to 2016
$2.5MDeveloping a Virtual Basic Laparoscopic Skill Trainer (VBLaST)R01EB010037 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2010 to 2013
$2.0MTime-Resolved Wide-Field Molecular Optical TomographyR01EB019443 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI INTES, XAVIER · 2015 to 2018
$1.7MNIBIB NIH HHS R01 EB005807NIBIB NIH HHS R01 EB009362NIBIB NIH HHS R01 EB010037NIBIB NIH HHS R01 EB014305NIBIB NIH HHS R01 EB019443
Abstract
PubMed holds no abstract for this paper.
Indexed as
deep learningdenoising autoencoderfunctional near-infrared spectroscopymotion artifact
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LicenceCC BY
Read underepoch 390
Registered trials
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.