Elisabeth Pfaehler
Elisabeth Pfaehler
Elisabeth Pfaehler
Verified email at rug.nl
Title
Cited by
Cited by
Year
The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ...
Radiology 295 (2), 328-338, 2020
4712020
Repeatability of 18F‐FDG PET radiomic features: A phantom study to explore sensitivity to image reconstruction settings, noise, and delineation method
E Pfaehler, RJ Beukinga, JR de Jong, RHJA Slart, CH Slump, ...
Medical physics 46 (2), 665-678, 2019
422019
RaCaT: an open source and easy to use radiomics calculator tool
E Pfaehler, A Zwanenburg, JR de Jong, R Boellaard
PLoS One 14 (2), e0212223, 2019
322019
Experimental multicenter and multivendor evaluation of the performance of PET radiomic features using 3-dimensionally printed phantom inserts
E Pfaehler, J van Sluis, BBJ Merema, P van Ooijen, RCM Berendsen, ...
Journal of Nuclear Medicine 61 (3), 469-476, 2020
212020
Impact of PET/CT system, reconstruction protocol, data analysis method, and repositioning on PET/CT precision: An experimental evaluation using an oncology and brain phantom
S Mansor, E Pfaehler, D Heijtel, MA Lodge, R Boellaard, M Yaqub
Medical physics 44 (12), 6413-6424, 2017
212017
Machine learning-based analysis of [18 F] DCFPyL PET radiomics for risk stratification in primary prostate cancer
MCF Cysouw, BHE Jansen, T van de Brug, DE Oprea-Lager, E Pfaehler, ...
European journal of nuclear medicine and molecular imaging 48 (2), 340-349, 2021
202021
Multicenter CT phantoms public dataset for radiomics reproducibility tests
P Kalendralis, A Traverso, Z Shi, I Zhovannik, R Monshouwer, ...
Medical physics 46 (3), 1512-1518, 2019
132019
PET segmentation of bulky tumors: Strategies and workflows to improve inter-observer variability
E Pfaehler, C Burggraaff, G Kramer, J Zijlstra, OS Hoekstra, M Jalving, ...
PloS one 15 (3), e0230901, 2020
102020
Experimental multicenter and multivendor evaluation of PET radiomic features performance using 3D printed phantom inserts
E Pfaehler, J van Sluis, BBJ Merema, P van Ooijen, RCM Berendsen, ...
Journal of Nuclear Medicine, jnumed. 119.229724, 2019
62019
SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool
E Pfaehler, JR De Jong, RAJO Dierckx, FHP van Velden, R Boellaard
EJNMMI physics 5 (1), 1-18, 2018
62018
Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET
E Pfaehler, L Mesotten, G Kramer, M Thomeer, K Vanhove, J de Jong, ...
EJNMMI research 11 (1), 1-11, 2021
52021
Predictive value of quantitative 18 F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma
RM Martens, T Koopman, DP Noij, E Pfaehler, C Übelhör, S Sharma, ...
EJNMMI research 10 (1), 1-15, 2020
52020
Plausibility and redundancy analysis to select FDG‐PET textural features in non‐small cell lung cancer
E Pfaehler, L Mesotten, I Zhovannik, S Pieplenbosch, M Thomeer, ...
Medical physics 48 (3), 1226-1238, 2021
22021
Textural Feature Based Segmentation: A Repeatable and Accurate Segmentation Approach for Tumors in PET Images
E Pfaehler, L Mesotten, G Kramer, M Thomeer, K Vanhove, J de Jong, ...
Annual Conference on Medical Image Understanding and Analysis, 3-14, 2020
22020
18f-FDG PET/CT Baseline Rdiomics Features Improve the Prediction of Treatment Outcome in Diffuse Large B-Cell Lymphoma Patients
JJ Eertink, T van de Brug, SE Wiegers, GJC Zwezerijnen, E Pfaehler, ...
Blood 136, 27-28, 2020
12020
Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors
L Dal Toso, E Pfaehler, R Boellaard, JA Schnabel, PK Marsden
International Workshop on Machine Learning for Medical Image Reconstruction …, 2019
12019
18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma
JJ Eertink, T van de Brug, SE Wiegers, GJC Zwezerijnen, EAG Pfaehler, ...
European journal of nuclear medicine and molecular imaging, 1-11, 2021
2021
Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?
JJ Eertink, EAG Pfaehler, SE Wiegers, T van de Brug, PJ Lugtenburg, ...
Journal of Nuclear Medicine, 2021
2021
Methodological aspects and standardization of PET radiomics studies
E Pfaehler
University of Groningen, 2021
2021
F-18-FDG PET/CT baseline radiomics features are predictive of outcome in diffuse large B-cell lymphoma patients
J Eertink, T van de Brug, SE Wiegers, GJC Zwezerijnen, E Pfaehler, ...
European Journal of Nuclear Medicine and Molecular Imaging 47 (SUPPL 1 …, 2020
2020
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