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Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study

Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study

26 February 2025
Mohammad Moulaeifard
Peter H. Charlton
Nils Strodthoff
    OOD
ArXivPDFHTML

Papers citing "Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study"

9 / 9 papers shown
Title
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
Mohammad Moulaeifard
Loic Coquelin
Mantas Rinkevičius
Andrius Sološenko
Oskar Pfeffer
...
Vaidotas Marozas
Andrew Thompson
Philip Aston
Peter H. Charlton
Nils Strodthoff
OOD
115
0
0
27 Feb 2025
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
65
7
0
27 Oct 2024
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
Tiezhi Wang
Nils Strodthoff
64
5
0
10 Oct 2023
Towards quantitative precision for ECG analysis: Leveraging state space
  models, self-supervision and patient metadata
Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata
Temesgen Mehari
Nils Strodthoff
38
17
0
29 Aug 2023
In-Distribution and Out-of-Distribution Self-supervised ECG
  Representation Learning for Arrhythmia Detection
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
S. Soltanieh
J. Hashemi
Ali Etemad
48
11
0
13 Apr 2023
Towards a Theoretical Framework of Out-of-Distribution Generalization
Towards a Theoretical Framework of Out-of-Distribution Generalization
Haotian Ye
Chuanlong Xie
Tianle Cai
Ruichen Li
Zhenguo Li
Liwei Wang
OODD
OOD
80
108
0
08 Jun 2021
Improved OOD Generalization via Adversarial Training and Pre-training
Improved OOD Generalization via Adversarial Training and Pre-training
Mingyang Yi
Lu Hou
Jiacheng Sun
Lifeng Shang
Xin Jiang
Qun Liu
Zhi-Ming Ma
VLM
55
83
0
24 May 2021
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
143
2,515
0
03 Jun 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
361
43,511
0
17 Sep 2014
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