Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma
Eertink, J. J., van de Brug, T., Wiegers, S. E., Zwezerijnen, G. J. C., Pfaehler, E. A. G., Lugtenburg, P. J., van der Holt, B., de Vet, H. C. W., Hoekstra, O. S., Boellaard, R. & Zijlstra, J. M., Feb-2022, In: European Journal of Nuclear Medicine and Molecular Imaging. 49, 3, p. 932-942 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile81 Citations (Scopus)109 Downloads (Pure) -
Convolutional neural networks for automatic image quality control and EARL compliance of PET images
Pfaehler, E., Euba, D., Rinscheid, A., Hoekstra, O. S., Zijlstra, J., van Sluis, J., Brouwers, A. H., Lapa, C. & Boellaard, R., 2022, In: EJNMMI physics. 9, 1, 13 p., 53.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Citations (Scopus)77 Downloads (Pure) -
Noise sensitivity of 89Zr-Immuno-PET radiomics based on count-reduced clinical images
Somasundaram, A., García, D. V., Pfaehler, E., Jauw, Y. W. S., Zijlstra, J. M., van Dongen, G. A. M. S., Menke-van der Houven van Oordt, W. C., Huisman, M. C., de Vries, E. G. E. & Boellaard, R., 3-Mar-2022, In: EJNMMI physics. 9, 1, 13 p., 16.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Citations (Scopus)63 Downloads (Pure) -
A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features
Pfaehler, E., Zhovannik, I., Wei, L., Boellaard, R., Dekker, A., Monshouwer, R., El Naqa, I., Bussink, J., Gillies, R., Wee, L. & Traverso, A., Oct-2021, In: Physics and imaging in radiation oncology. 20, p. 69-75 7 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile55 Citations (Scopus)143 Downloads (Pure) -
Machine learning-based analysis of [18F]DCFPyL PET radiomics for risk stratification in primary prostate cancer
Cysouw, M. C. F., Jansen, B. H. E., van de Brug, T., Oprea-Lager, D. E., Pfaehler, E., de Vries, B. M., van Moorselaar, R. J. A., Hoekstra, O. S., Vis, A. N. & Boellaard, R., Feb-2021, In: European Journal of Nuclear Medicine and Molecular Imaging. 48, 2, p. 340-349 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile96 Citations (Scopus)110 Downloads (Pure)
Datasets
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SMART(SiMulAtion and ReconsTruction) PET: An efficient PET simulation-reconstruction tool
Pfaehler, E. (Contributor), Jong ,de, J. (Contributor), van Velden, F. (Contributor), Dierckx, R. (Contributor) & Boellaard, R. (Contributor), ZENODO, 15-Jan-2018
DOI: 10.5281/zenodo.3661867, https://zenodo.org/record/3661867
Dataset
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SMART(SiMulAtion and ReconsTruction) PET: An efficient PET simulation-reconstruction too
Pfaehler, E. (Creator), de Jong, J. (Creator) & van Velden, F. H. P. (Creator), University of Groningen, 15-Jan-2018
Dataset