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. 2405.17766
  4. Cited By
SleepFM: Multi-modal Representation Learning for Sleep Across Brain
  Activity, ECG and Respiratory Signals

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

28 May 2024
Rahul Thapa
Bryan He
Magnus Ruud Kjær
IV HyattE.Moore
Gauri Ganjoo
Emmanuel Mignot
James Zou
ArXiv (abs)PDFHTMLGithub (85★)

Papers citing "SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals"

22 / 22 papers shown
Title
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Salar Abbaspourazad
Anshuman Mishra
Joseph D. Futoma
Andrew C. Miller
Ian Shapiro
151
0
0
15 Dec 2024
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework
  for Zero-Shot Electroencephalography Signal Conversion
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
Anders Vestergaard Norskov
Alexander Neergaard Zahid
Morten Morup
56
3
0
13 Nov 2023
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for
  Histopathology Images
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Ming Y. Lu
Bowen Chen
Andrew Zhang
Drew F. K. Williamson
Richard J. Chen
Tong Ding
L. Le
Yung-Sung Chuang
Faisal Mahmood
VLMMedIm
194
102
0
13 Jun 2023
Electrocardiographic Deep Learning for Predicting Post-Procedural
  Mortality
Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality
David Ouyang
J. Theurer
N. Stein
J. Hughes
P. Elias
...
J. Zou
N. Cook
S. Chugh
Susan Cheng
C. Albert
31
7
0
30 Apr 2022
Making the Most of Text Semantics to Improve Biomedical Vision--Language
  Processing
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing
Benedikt Boecking
Naoto Usuyama
Shruthi Bannur
Daniel Coelho De Castro
Anton Schwaighofer
...
Tristan Naumann
A. Nori
Javier Alvarez-Valle
Hoifung Poon
Ozan Oktay
71
245
0
21 Apr 2022
3KG: Contrastive Learning of 12-Lead Electrocardiograms using
  Physiologically-Inspired Augmentations
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations
Bryan Gopal
Ryan Han
Gautham Raghupathi
A. Ng
G. Tison
Pranav Rajpurkar
MedIm
52
57
0
21 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.0K
29,926
0
26 Feb 2021
MSED: a multi-modal sleep event detection model for clinical sleep
  analysis
MSED: a multi-modal sleep event detection model for clinical sleep analysis
Alexander Neergaard Zahid
P. Jennum
Emmanuel Mignot
H. Sørensen
60
13
0
07 Jan 2021
Contrastive Learning of Medical Visual Representations from Paired
  Images and Text
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
MedIm
150
768
0
02 Oct 2020
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
Huy P Phan
Oliver Y. Chén
M. Tran
P. Koch
Alfred Mertins
M. D. Vos
AI4TS
101
214
0
08 Jul 2020
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and
  Patients
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani Kiyasseh
T. Zhu
David Clifton
81
194
0
27 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
180
4,580
0
23 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
390
18,897
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
216
12,136
0
13 Nov 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
172
18,193
0
28 May 2019
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence
  Deep Learning Approach
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Sajad Mousavi
Fatemeh Afghah
U. R. Acharya
71
386
0
05 Mar 2019
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for
  Sequence-to-Sequence Automatic Sleep Staging
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
Huy P Phan
Fernando Andreotti
Navin Cooray
Oliver Y. Chén
M. D. Vos
131
420
0
28 Sep 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
354
10,369
0
10 Jul 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
218
19,353
0
13 Jan 2018
Neural network an1alysis of sleep stages enables efficient diagnosis of
  narcolepsy
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Jens B. Stephansen
A. N. Olesen
Mads Olsen
A. Ambati
E. Leary
...
C. Kushida
P. Peppard
H. Sørensen
P. Jennum
Emmanuel Mignot
68
228
0
05 Oct 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw
  Single-Channel EEG
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A. Supratak
Hao Dong
Chao Wu
Yike Guo
95
959
0
12 Mar 2017
Automatic Sleep Stage Scoring with Single-Channel EEG Using
  Convolutional Neural Networks
Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks
Orestis Tsinalis
Paul M. Matthews
Yike Guo
Stefanos Zafeiriou
72
298
0
05 Oct 2016
1