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Gregory G Slabaugh
ORCID
Publication Activity (10 Years)
Years Active: 2023-2023
Publications (10 Years): 5
Top Topics
Bone Loss
Deep Learning
Convolutional Neural Network
Postmenopausal Women
Top Venues
bioRxiv : the preprint server for biology
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This page only lists publications with an associated author ORCID identifier.
Publications
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Simon D Vetter
,
Charles A Schurman
,
Tamara N Alliston
,
Gregory G Slabaugh
,
Stefaan W Verbruggen
Deep learning models to map osteocyte networks can successfully distinguish between young and aged bone.
bioRxiv : the preprint server for biology
(2023)
Simon D Vetter
,
Charles A Schurman
,
Tamara N Alliston
,
Gregory G Slabaugh
,
Stefaan W Verbruggen
Deep learning models to map osteocyte networks can successfully distinguish between young and aged bone.
bioRxiv : the preprint server for biology
(2023)
Simon D Vetter
,
Charles A Schurman
,
Tamara N Alliston
,
Gregory G Slabaugh
,
Stefaan W Verbruggen
Deep learning models to map osteocyte networks can successfully distinguish between young and aged bone.
bioRxiv : the preprint server for biology
(2023)
Simon D Vetter
,
Charles A Schurman
,
Tamara N Alliston
,
Gregory G Slabaugh
,
Stefaan W Verbruggen
Deep learning models to map osteocyte networks can successfully distinguish between young and aged bone.
bioRxiv : the preprint server for biology
(2023)
Simon D Vetter
,
Charles A Schurman
,
Tamara N Alliston
,
Gregory G Slabaugh
,
Stefaan W Verbruggen
Deep learning models to map osteocyte networks can successfully distinguish between young and aged bone.
bioRxiv : the preprint server for biology
(2023)