E-LIB Suche - Ergebnisse für: Eertink, Jakoba J.

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/..

2

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/..

3

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/..

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/..

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/..

6

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...

7

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...

8

Sensitivity of an AI method for [18F]FDG PET/CT outcome pre..:

Maria C. Ferrández ; Sandeep S. V. Golla ; Jakoba J. Eertink...
https://doi.org/10.1186/s13550-023-01036-8. , 2023

Link: https://doi.org/10.1186/..

9

An artificial intelligence method using FDG PET to predict ..:

Maria C. Ferrández ; Sandeep S. V. Golla ; Jakoba J. Eertink...
https://doi.org/10.1038/s41598-023-40218-1. , 2023

Link: https://doi.org/10.1038/..

10

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/..

11

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/..

12

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/..

13

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/..

14

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/..

15

Proposed New Dynamic Prognostic Index for Diffuse Large B-C..:

Mikhaeel, N George ; Heymans, Martijn W ; Eertink, Jakoba J...
Mikhaeel , N G , Heymans , M W , Eertink , J J , de Vet , H C W , Boellaard , R , Dührsen , U , Ceriani , L , Schmitz , C , Wiegers , S E , Hüttmann , A , Lugtenburg , P J , Zucca , E , Zwezerijnen , G J C , Hoekstra , O S , Zijlstra , J M & Barrington , S F 2022 , ' Proposed New Dynamic Prognostic Index for Diffuse Large B-Cell Lymphoma : International Metabolic Prognostic Index ' , Journal of clinical oncology : official journal of the American Society of Clinical Oncology . https://doi.org/10.1200/JCO.21.02063. , 2022

Link: https://pure.eur.nl/en/p..