Deep neural network pre-training on a simulated dataset for optical tracking of head motion without fiducial markers

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/1589
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
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article

Deep neural network pre-training on a simulated dataset for optical tracking of head motion without fiducial markers

Simon J. Graham, Marina Silic
1 links
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Optical Imaging and Spectroscopy Techniques
article

Deep neural network pre-training on a simulated dataset for optical tracking of head motion without fiducial markers

Simon J. Graham, Marina Silic
article en

Abstract

No abstract available for this paper.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Peace, Justice and strong institutions
Openalex Percentile: Top 64%
Optical Imaging and Spectroscopy Techniques
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Deep neural network pre-training on a simulated dataset for optical tracking of head motion without fiducial markers — Simon J. Graham, Marina Silic · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS