Inferring optical tissue properties from photoplethysmography using hybrid amortized inference

Inferring Optical Tissue Properties from Photoplethysmography using Hybrid Amortized Inference, Behrmann, Jens, Cervera, Maria R., Wehenkel, Antoine, Miller, Andrew C., Cerussi, Albert, Jain, Pranay, Venugopal, Vivek, Yan, Shijie, Sapiro, Guillermo, Pegolotti, Luca, Jacobsen, Jörn-Henrik

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Publication Details

Journal
Machine Learning Health
Published
2026-02-26
DOI
https://doi.org/10.1088/3049-477x/ae4a96
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
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article

Inferring optical tissue properties from photoplethysmography using hybrid amortized inference

Andrew C. Miller, Luca Pegolotti, Guillermo Sapiro, Maria R. Cervera et al.
Machine Learning Health
Non-Invasive Vital Sign Monitoring
article

Inferring optical tissue properties from photoplethysmography using hybrid amortized inference

Andrew C. Miller, Luca Pegolotti, Guillermo Sapiro, Maria R. Cervera, Antoine Wehenkel, Albert E. Cerussi, Pranay Jain, Jörn-Henrik Jacobsen, Vivek Venugopal, Jens Behrmann, Shijie Yan
article en

Abstract

Inferring Optical Tissue Properties from Photoplethysmography using Hybrid Amortized Inference, Behrmann, Jens, Cervera, Maria R., Wehenkel, Antoine, Miller, Andrew C., Cerussi, Albert, Jain, Pranay, Venugopal, Vivek, Yan, Shijie, Sapiro, Guillermo, Pegolotti, Luca, Jacobsen, Jörn-Henrik

Machine Learning HealthVol. 2(1)
Apple (Israel) (IL), Apple (United States) (US)
Openalex Percentile: Top 44%
Non-Invasive Vital Sign Monitoring
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