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Self-Supervised Multimodal Domino: in Search of Biomarkers for
  Alzheimer's Disease
v1v2v3v4 (latest)

Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease

IEEE International Conference on Healthcare Informatics (ICHI), 2020
25 December 2020
A. Fedorov
Tristan Sylvain
Eloy P. T. Geenjaar
Margaux Luck
Lei Wu
T. DeRamus
Alex Kirilin
Dmitry Bleklov
Vince D. Calhoun
Sergey Plis
    SSL
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease"

2 / 2 papers shown
Self-supervised multimodal neuroimaging yields predictive
  representations for a spectrum of Alzheimer's phenotypes
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes
A. Fedorov
Eloy P. T. Geenjaar
Lei Wu
Tristan Sylvain
T. DeRamus
Margaux Luck
Maria B. Misiura
R. Devon Hjelm
Sergey Plis
Vince D. Calhoun
155
3
0
07 Sep 2022
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.4K
4,812
0
17 Jun 2020
1
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