| 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 | 3049 | 2020 |
| Machine learning-based analysis of [18F]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, 340-349, 2021 | 135 | 2021 |
| 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 | 125 | 2019 |
| METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII B Kocak, T Akinci D’Antonoli, N Mercaldo, A Alberich-Bayarri, B Baessler, ... Insights into imaging 15 (1), 8, 2024 | 107 | 2024 |
| 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, 2022 | 99 | 2022 |
| 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 | 83 | 2019 |
| A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features E Pfaehler, I Zhovannik, L Wei, R Boellaard, A Dekker, R Monshouwer, ... Physics and imaging in radiation oncology 20, 69-75, 2021 | 75 | 2021 |
| 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 | 72 | 2020 |
| 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 | 47 | 2017 |
| 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 | 43 | 2019 |
| Predictive value of quantitative 18F-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, 1-15, 2020 | 36 | 2020 |
| Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter? JJ Eertink, EAG Pfaehler, SE Wiegers, PJ Lugtenburg, OS Hoekstra, ... Journal of Nuclear Medicine 63 (3), 389-395, 2022 | 34 | 2022 |
| Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics features JJ Eertink, GJC Zwezerijnen, MCF Cysouw, SE Wiegers, EAG Pfaehler, ... European Journal of Nuclear Medicine and Molecular Imaging 49 (13), 4642-4651, 2022 | 33 | 2022 |
| 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, 1-11, 2021 | 29 | 2021 |
| 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 | 24 | 2020 |
| 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, 1-18, 2018 | 24 | 2018 |
| 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 | 17 | 2021 |
| 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, 2019 | 15 | 2019 |
| 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, ... Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020 …, 2020 | 7 | 2020 |
| Convolutional neural networks for automatic image quality control and EARL compliance of PET images E Pfaehler, D Euba, A Rinscheid, OS Hoekstra, J Zijlstra, J van Sluis, ... EJNMMI physics 9 (1), 53, 2022 | 6 | 2022 |
Ronald BoellaardProfessor Clinical Physics of Positron Emission Tomography, VUmc, AmsterdamEmail yang diverifikasi di vumc.nl
