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Hirvasniemi, J.
99
results:
Search for persons
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Format
Online (99)
Mediatypes
Articles (Online) (48)
Bookchapter (Online) (2)
OpenAccess-fulltext (49)
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english (87)
finnish (3)
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1
ENHANCING MODEL PERFORMANCE IN HIP JOINT SEGMENTATION BY LE..:
Kamphuis, M.A.
;
Oei, E.H.G.
;
Runhaar, J.
...
Osteoarthritis Imaging. 4 (2024) - p. 100193 , 2024
Link:
https://doi.org/10.1016/..
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2
MRI-BASED RADIOMICS FOR ASSESSMENT OF THE INFRAPATELLAR FAT..:
Campos, I.R.
;
van der Heijden, R.A.
;
Oei, E.H.G.
...
Osteoarthritis Imaging. 3 (2023) - p. 100134 , 2023
Link:
https://doi.org/10.1016/..
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3
EARLY DETECTION OF KNEE OSTEOARTHRITIS USING DEEP LEARNING ..:
Alexopoulos, A.
;
Hirvasniemi, J.
;
Klein, S.
...
Osteoarthritis Imaging. 3 (2023) - p. 100112 , 2023
Link:
https://doi.org/10.1016/..
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4
The KNee OsteoArthritis Prediction (KNOAP2020) challenge: A..:
Hirvasniemi, J.
;
Runhaar, J.
;
van der Heijden, R.A.
...
Osteoarthritis and Cartilage. 31 (2023) 1 - p. 115-125 , 2023
Link:
https://doi.org/10.1016/..
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5
Osteoarthritis year in review 2021: imaging:
Oei, E.H.G.
;
Hirvasniemi, J.
;
van Zadelhoff, T.A.
.
Osteoarthritis and Cartilage. 30 (2022) 2 - p. 226-236 , 2022
Link:
https://doi.org/10.1016/..
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6
T2 MAPPING OF THE ARTICULAR CARTILAGE AS A BIOMARKER FOR OA..:
Harlianto, N.I.
;
Hirvasniemi, J.
;
Poot, D.H.J.
...
Osteoarthritis Imaging. 2 (2022) - p. 100023 , 2022
Link:
https://doi.org/10.1016/..
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7
FACTORS ASSOCIATED WITH KNEE JOINT MENISCUS VOLUME IN EARLY..:
Xu, D.
;
Schiphof, D.
;
Hirvasniemi, J.
...
Osteoarthritis and Cartilage. 30 (2022) - p. S229-S230 , 2022
Link:
https://doi.org/10.1016/..
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8
The 15th international workshop on osteoarthritis imaging; ..:
Oei, E.H.G.
;
Hirvasniemi, J.
;
Klein, S.
...
Osteoarthritis Imaging. 2 (2022) 1 - p. 100009 , 2022
Link:
https://doi.org/10.1016/..
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9
Detecting hip osteoarthritis on clinical CT: a deep learnin..:
Gebre, R. K.
;
Hirvasniemi, J.
;
van der Heijden, R. A.
...
Osteoporosis International. 33 (2021) 2 - p. 355-365 , 2021
Link:
https://doi.org/10.1007/..
?
10
Adaptive segmentation of knee radiographs for selecting the..:
Bayramoglu, N.
;
Tiulpin, A.
;
Hirvasniemi, J.
..
Osteoarthritis and Cartilage. 28 (2020) 7 - p. 941-952 , 2020
Link:
https://doi.org/10.1016/..
?
11
Bone texture analysis for prediction of incident radiograph..:
Hirvasniemi, J.
;
Gielis, W.P.
;
Arbabi, S.
...
Osteoarthritis and Cartilage. 27 (2019) 6 - p. 906-914 , 2019
Link:
https://doi.org/10.1016/..
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12
Femoral bone texture differs between subjects with and with..:
Hirvasniemi, J.
;
Gielis, W.P.
;
van Spil, W.E.
..
Osteoarthritis and Cartilage. 26 (2018) - p. S458 , 2018
Link:
https://doi.org/10.1016/..
?
13
Acoustic emissions and kinetic instability as new clinical ..:
Tiulpin, A.
;
Thevenot, J.
;
Hirvasniemi, J.
..
Osteoarthritis and Cartilage. 26 (2018) - p. S40-S41 , 2018
Link:
https://doi.org/10.1016/..
?
14
Quantitative Assessment of Osteoarthritic Knee Instability:..:
, In:
IFMBE Proceedings; World Congress on Medical Physics and Biomedical Engineering 2018
,
Virtanen, V. K. O.
;
Thevenot, J.
;
Tiulpin, A.
... - p. 703-708 , 2018
Link:
https://doi.org/10.1007/..
?
15
Association between radiography-based subchondral bone stru..:
Hirvasniemi, J.
;
Thevenot, J.
;
Multanen, J.
...
Osteoarthritis and Cartilage. 25 (2017) 12 - p. 2039-2046 , 2017
Link:
https://doi.org/10.1016/..
1-15