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Per Magne Florvaag
Research Engineer
Organisation:
Department of Computational Physiology
Email:
[email protected]
curriculum vitae
Most recent publications
M. Maleckar
,
L. Myklebust
,
J. J. Uv
,
P. M. Florvaag
,
V. Strøm
,
C. Glinge
,
R. Jabbari
,
N. Vejlstrup
,
T. Engstrøm
,
K. Ahtarovski
et al.
Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients
Frontiers in physiology
12 (2021): 745349.
Journal Article
2021
View
A. Elmokashfi
,
J. Sundnes
,
A. Kvalbein
,
V. Naumova
,
S. Reinemo
,
P. M. Florvaag
,
H. K. Stensland
and
O. Lysne
Nationwide rollout reveals efficacy of epidemic control through digital contact tracing
Nature Communications
12 (2021).
Journal Article
2021
View
Find publication
Status
Published
(2)
Departments
Communication Systems
(1)
Machine Learning
(1)
Scientific Computing
(2)
Publication type
Journal articles
Proceedings, refereed
(1)
Book chapters
(1)
Posters
(1)
Talks, contributed
(1)
Year published
2021
(2)
Export 2 results:
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2021
Journal articles
A. Elmokashfi
,
J. Sundnes
,
A. Kvalbein
,
V. Naumova
,
S. Reinemo
,
P. M. Florvaag
,
H. K. Stensland
and
O. Lysne
Nationwide rollout reveals efficacy of epidemic control through digital contact tracing
Nature Communications
12 (2021).
Status: Published
M. Maleckar
,
L. Myklebust
,
J. J. Uv
,
P. M. Florvaag
,
V. Strøm
,
C. Glinge
,
R. Jabbari
,
N. Vejlstrup
,
T. Engstrøm
,
K. Ahtarovski
et al.
Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients
Frontiers in physiology
12 (2021): 745349.
Status: Published