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Addressing database variability in learning from medical data: an
  ensemble-based approach using convolutional neural networks and a case of
  study applied to automatic sleep scoring
v1v2v3 (latest)

Addressing database variability in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring

16 June 2019
D. Álvarez-Estévez
Isaac Fernández-Varela
    OOD
ArXiv (abs)PDFHTML

Papers citing "Addressing database variability in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring"

3 / 3 papers shown
Title
Adaptive questionnaires for facilitating patient data entry in clinical
  decision support systems: Methods and application to STOPP/START v2
Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: Methods and application to STOPP/START v2
Jean-Baptiste Lamy
Abdelmalek Mouazer
Karima Sedki
Sophie Dubois
Hector Falcoff
31
4
0
19 Sep 2023
Ensemble of Convolution Neural Networks on Heterogeneous Signals for
  Sleep Stage Scoring
Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring
Enrique Fernández-Blanco
C. Fernandez-Lozano
A. Pazos
Daniel Rivero
38
4
0
23 Jul 2021
Inter-database validation of a deep learning approach for automatic
  sleep scoring
Inter-database validation of a deep learning approach for automatic sleep scoring
D. Álvarez-Estévez
R. Rijsman
132
47
0
22 Sep 2020
1