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Eertink, Jakoba J.
45
results:
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Online (45)
Mediatypes
Articles (Online) (12)
OpenAccess-fulltext (33)
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1
The development process of 'fit-for-purpose' imaging biomar..:
Eertink, Jakoba J.
;
Bahce, Idris
;
Waterton, John C.
...
Frontiers in Medicine. 11 (2024) - p. , 2024
Link:
https://doi.org/10.3389/..
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2
Prognostic model using 18F-FDG PET radiomics predicts progr..:
Driessen, Julia
;
Zwezerijnen, Gerben J. C.
;
Schöder, Heiko
...
Blood Advances. 7 (2023) 21 - p. 6732-6743 , 2023
Link:
https://doi.org/10.1182/..
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3
An artificial intelligence method using FDG PET to predict ..:
Ferrández, Maria C.
;
Golla, Sandeep S. V.
;
Eertink, Jakoba J.
...
Scientific Reports. 13 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
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4
Baseline radiomics features and MYC rearrangement status pr..:
Eertink, Jakoba J.
;
Zwezerijnen, Gerben J. C.
;
Wiegers, Sanne E.
...
Blood Advances. 7 (2023) 2 - p. 214-223 , 2023
Link:
https://doi.org/10.1182/..
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5
Sensitivity of an AI method for [18F]FDG PET/CT outcome pre..:
Ferrández, Maria C.
;
Golla, Sandeep S. V.
;
Eertink, Jakoba J.
...
EJNMMI Research. 13 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1186/..
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6
Reproducibility of [18F]FDG PET/CT liver SUV as reference o..:
Zwezerijnen, Gerben J. C.
;
Eertink, Jakoba J.
;
Ferrández, Maria C.
...
European Journal of Nuclear Medicine and Molecular Imaging. 50 (2022) 2 - p. 486-493 , 2022
Link:
https://doi.org/10.1007/..
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7
Combatting the effect of image reconstruction settings on l..:
Ferrández, Maria C.
;
Eertink, Jakoba J.
;
Golla, Sandeep S. V.
...
EJNMMI Research. 12 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1186/..
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8
Blood‐circulating EV‐miRNAs, serum TARC, and quantitative F..:
Drees, Esther E. E.
;
Driessen, Julia
;
Zwezerijnen, Gerben J. C.
...
eJHaem. 3 (2022) 3 - p. 908-912 , 2022
Link:
https://doi.org/10.1002/..
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9
External validation: a simulation study to compare cross-va..:
Eertink, Jakoba J.
;
Heymans, Martijn W.
;
Zwezerijnen, Gerben J. C.
...
EJNMMI Research. 12 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1186/..
?
10
Comparing lesion and feature selections to predict progress..:
Eertink, Jakoba J.
;
Zwezerijnen, Gerben J. C.
;
Cysouw, Matthijs C. F.
...
European Journal of Nuclear Medicine and Molecular Imaging. 49 (2022) 13 - p. 4642-4651 , 2022
Link:
https://doi.org/10.1007/..
?
11
18F-FDG PET baseline radiomics features improve the predict..:
Eertink, Jakoba J.
;
van de Brug, Tim
;
Wiegers, Sanne E.
...
European Journal of Nuclear Medicine and Molecular Imaging. 49 (2021) 3 - p. 932-942 , 2021
Link:
https://doi.org/10.1007/..
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12
Profound regional spectral, connectivity, and network chang..:
Briels, Casper T.
;
Eertink, Jakoba J.
;
Stam, Cornelis J.
...
Neurobiology of Aging. 96 (2020) - p. 1-11 , 2020
Link:
https://doi.org/10.1016/..
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13
An artificial intelligence method using FDG PET to predict ..:
Ferrández, Maria C
;
Golla, Sandeep S. V
;
Eertink, Jakoba J
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423266/. , 2023
Link:
http://www.ncbi.nlm.nih...
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14
Sensitivity of an AI method for [(18)F]FDG PET/CT outcome p..:
Ferrández, Maria C
;
Golla, Sandeep S. V
;
Eertink, Jakoba J
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533444/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
15
A Guide to ComBat Harmonization of Imaging Biomarkers in Mu..:
Orlhac, Fanny
;
Eertink, Jakoba J
;
Cottereau, Anne-Ségolène
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805779/. , 2022
Link:
http://www.ncbi.nlm.nih...
1-15