Elisabeth Pfaehler

5.0k total citations
31 papers, 721 citations indexed

About

Elisabeth Pfaehler is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Elisabeth Pfaehler has authored 31 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Biomedical Engineering and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Elisabeth Pfaehler's work include Radiomics and Machine Learning in Medical Imaging (26 papers), Medical Imaging Techniques and Applications (15 papers) and Advanced X-ray and CT Imaging (14 papers). Elisabeth Pfaehler is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (26 papers), Medical Imaging Techniques and Applications (15 papers) and Advanced X-ray and CT Imaging (14 papers). Elisabeth Pfaehler collaborates with scholars based in Netherlands, Germany and United States. Elisabeth Pfaehler's co-authors include Ronald Boellaard, Johan R. de Jong, Otto S. Hoekstra, Tim van de Brug, Josée M. Zijlstra, Alex Zwanenburg, Rudi Dierckx, Sanne E. Wiegers, Jakoba J. Eertink and Pieternella J. Lugtenburg and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Elisabeth Pfaehler

28 papers receiving 717 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elisabeth Pfaehler Netherlands 15 649 252 186 128 105 31 721
Virginie Frings Netherlands 11 573 0.9× 235 0.9× 154 0.8× 29 0.2× 90 0.9× 20 648
R. Perdrisot France 9 611 0.9× 228 0.9× 160 0.9× 56 0.4× 134 1.3× 17 799
Julian M.M. Rogasch Germany 15 360 0.6× 217 0.9× 68 0.4× 35 0.3× 70 0.7× 63 570
O. Miranda France 8 381 0.6× 95 0.4× 93 0.5× 34 0.3× 67 0.6× 22 470
Jose Net United States 10 743 1.1× 143 0.6× 96 0.5× 89 0.7× 146 1.4× 26 870
Xueyi Zheng China 9 418 0.6× 110 0.4× 101 0.5× 56 0.4× 102 1.0× 15 605
Mahmoud A. Abdalah United States 9 627 1.0× 258 1.0× 226 1.2× 15 0.1× 185 1.8× 19 733
Xinming Zhao China 12 530 0.8× 297 1.2× 127 0.7× 23 0.2× 215 2.0× 45 710
Chuanmiao Xie China 5 521 0.8× 173 0.7× 294 1.6× 20 0.2× 112 1.1× 11 584
Mark Landis Canada 12 234 0.4× 205 0.8× 179 1.0× 83 0.6× 45 0.4× 25 571

Countries citing papers authored by Elisabeth Pfaehler

Since Specialization
Citations

This map shows the geographic impact of Elisabeth Pfaehler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elisabeth Pfaehler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabeth Pfaehler more than expected).

Fields of papers citing papers by Elisabeth Pfaehler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisabeth Pfaehler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elisabeth Pfaehler. The network helps show where Elisabeth Pfaehler may publish in the future.

Co-authorship network of co-authors of Elisabeth Pfaehler

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Pfaehler. A scholar is included among the top collaborators of Elisabeth Pfaehler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elisabeth Pfaehler. Elisabeth Pfaehler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pfaehler, Elisabeth, Andreas Schindele, Alexander Dierks, et al.. (2025). Value of PET radiomic features for diagnosis and reccurence prediction of newly diagnosed oral squamous cell carcinoma. Scientific Reports. 15(1). 17475–17475. 1 indexed citations
2.
Pfaehler, Elisabeth, et al.. (2025). Using ensemble radiomic models to identify uncertainty in lung nodule classifications. 4. 100047–100047.
3.
Schindele, Andreas, Katharina Nimptsch, Elisabeth Pfaehler, et al.. (2025). Interpretable machine learning for thyroid cancer recurrence predicton: Leveraging XGBoost and SHAP analysis. European Journal of Radiology. 186. 112049–112049. 6 indexed citations
4.
Pfaehler, Elisabeth, Daniel Pflugfelder, & Hanno Scharr. (2025). Untrained perceptual loss for image denoising of line-like structures in MRimages. PLoS ONE. 20(2). e0318992–e0318992.
5.
Collarino, Angela, Tina Pasciuto, Elisabeth Pfaehler, et al.. (2024). Is PET Radiomics Useful to Predict Pathologic Tumor Response and Prognosis in Locally Advanced Cervical Cancer?. Journal of Nuclear Medicine. 65(6). 962–970. 9 indexed citations
6.
Pfaehler, Elisabeth, et al.. (2024). ML-EM based dual tracer PET image reconstruction with inclusion of prompt gamma attenuation. Physics in Medicine and Biology. 70(1). 15009–15009. 1 indexed citations
7.
Nolte, Teresa, Justus Schock, Matthias Knobe, et al.. (2023). Getting Cartilage Thickness Measurements Right: A Systematic Inter-Method Comparison Using MRI Data from the Osteoarthritis Initiative. Cartilage. 14(1). 26–38. 2 indexed citations
8.
García, David Vállez, Elisabeth Pfaehler, Joyce van Sluis, et al.. (2022). Mitigation of noise-induced bias of PET radiomic features. PLoS ONE. 17(8). e0272643–e0272643. 1 indexed citations
9.
García, David Vállez, Elisabeth Pfaehler, Yvonne W. S. Jauw, et al.. (2022). Noise sensitivity of 89Zr-Immuno-PET radiomics based on count-reduced clinical images. EJNMMI Physics. 9(1). 16–16. 5 indexed citations
10.
Pfaehler, Elisabeth, Ivan Zhovannik, Lise Wei, et al.. (2021). A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features. Physics and Imaging in Radiation Oncology. 20. 69–75. 63 indexed citations
11.
Eertink, Jakoba J., Tim van de Brug, Sanne E. Wiegers, et al.. (2021). 18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma. European Journal of Nuclear Medicine and Molecular Imaging. 49(3). 932–942. 90 indexed citations
12.
Pfaehler, Elisabeth, Liesbet Mesotten, Gem Kramer, et al.. (2021). Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET. EJNMMI Research. 11(1). 4–4. 21 indexed citations
13.
Martens, Roland M., Thomas Koopman, Daniel P. Noij, et al.. (2020). Predictive value of quantitative 18F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma. EJNMMI Research. 10(1). 102–102. 31 indexed citations
14.
Pfaehler, Elisabeth, Coreline N. Burggraaff, Gem Kramer, et al.. (2020). PET segmentation of bulky tumors: Strategies and workflows to improve inter-observer variability. PLoS ONE. 15(3). e0230901–e0230901. 18 indexed citations
15.
Cysouw, Matthijs C. F., B.H.E. Jansen, Tim van de Brug, et al.. (2020). Machine learning-based analysis of [18F]DCFPyL PET radiomics for risk stratification in primary prostate cancer. European Journal of Nuclear Medicine and Molecular Imaging. 48(2). 340–349. 103 indexed citations
16.
Pfaehler, Elisabeth, Joyce van Sluis, Peter M. A. van Ooijen, et al.. (2019). Experimental Multicenter And Multivendor Evaluation Of Pet Radiomic Features Performance Using 3d Printed Phantom Inserts. European Journal of Nuclear Medicine and Molecular Imaging. 46. 2 indexed citations
17.
Kalendralis, Petros, Alberto Traverso, Zhenwei Shi, et al.. (2019). Multicenter CT phantoms public dataset for radiomics reproducibility tests. Medical Physics. 46(3). 1512–1518. 26 indexed citations
18.
Pfaehler, Elisabeth, Joyce van Sluis, Bram B. J. Merema, et al.. (2019). Experimental Multicenter and Multivendor Evaluation of the Performance of PET Radiomic Features Using 3-Dimensionally Printed Phantom Inserts. Journal of Nuclear Medicine. 61(3). 469–476. 65 indexed citations
19.
Pfaehler, Elisabeth, Alex Zwanenburg, Johan R. de Jong, & Ronald Boellaard. (2019). RaCaT: An open source and easy to use radiomics calculator tool. PLoS ONE. 14(2). e0212223–e0212223. 64 indexed citations
20.
Pfaehler, Elisabeth, Johan R. de Jong, Rudi Dierckx, Floris H. P. van Velden, & Ronald Boellaard. (2018). SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool. EJNMMI Physics. 5(1). 16–16. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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