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U-Sleep's resilience to AASM guidelines
v1v2v3 (latest)

U-Sleep's resilience to AASM guidelines

19 September 2022
Luigi Fiorillo
Giuliana Monachino
J. van der Meer
M. Pesce
J. Warncke
Markus H. Schmidt
C. Bassetti
A. Tzovara
Paolo Favaro
F. Faraci
ArXiv (abs)PDFHTML

Papers citing "U-Sleep's resilience to AASM guidelines"

3 / 3 papers shown
Title
Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring
  Algorithm with Uncertainty-Guided Physician Review
Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review
M. Bechny
Giuliana Monachino
Luigi Fiorillo
J. van der Meer
Markus H. Schmidt
C. Bassetti
A. Tzovara
F. Faraci
57
5
0
22 Dec 2023
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
116
5
0
10 Oct 2023
U-Time: A Fully Convolutional Network for Time Series Segmentation
  Applied to Sleep Staging
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Mathias Perslev
M. Jensen
S. Darkner
P. Jennum
Christian Igel
AI4TS
138
251
0
24 Oct 2019
1