ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.05648
  4. Cited By
Predicting Cardiovascular Disease Risk using Photoplethysmography and
  Deep Learning

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning

9 May 2023
Wei-Hung Weng
Sebastien Baur
Mayank Daswani
Christina W. Chen
Lauren Harrell
Sujay S Kakarmath
Mariam Jabara
B. Behsaz
Cory Y. McLean
Yossi Matias
G. Corrado
S. Shetty
Shruthi Prabhakara
Yun-Hui Liu
G. Danaei
Diego Ardila
ArXivPDFHTML

Papers citing "Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning"

2 / 2 papers shown
Title
PaPaGei: Open Foundation Models for Optical Physiological Signals
PaPaGei: Open Foundation Models for Optical Physiological Signals
Arvind Pillai
Dimitris Spathis
F. Kawsar
Mohammad Malekzadeh
VLM
39
7
0
27 Oct 2024
Optimizing Audio Augmentations for Contrastive Learning of
  Health-Related Acoustic Signals
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals
Louis Blankemeier
Sebastien Baur
Wei-Hung Weng
Jake Garrison
Yossi Matias
Shruthi Prabhakara
Diego Ardila
Zaid Nabulsi
42
0
0
11 Sep 2023
1