Works by Pfaehler, Elisabeth

Results: 25

Untrained perceptual loss for image denoising of line-like structures in MR images.
Published in:
PLoS ONE, 2025, v. 20, n. 2, p. 1, doi. 10.1371/journal.pone.0318992
By:
- Pfaehler, Elisabeth;
- Pflugfelder, Daniel;
- Scharr, Hanno
Publication type:
Article
PET segmentation of bulky tumors: Strategies and workflows to improve inter-observer variability.
Published in:
PLoS ONE, 2020, v. 15, n. 3, p. 1, doi. 10.1371/journal.pone.0230901
By:
- Pfaehler, Elisabeth;
- Burggraaff, Coreline;
- Kramer, Gem;
- Zijlstra, Josée;
- Hoekstra, Otto S.;
- Jalving, Mathilde;
- Noordzij, Walter;
- Brouwers, Adrienne H.;
- Stevenson, Marc G.;
- de Jong, Johan;
- Boellaard, Ronald
Publication type:
Article
RaCaT: An open source and easy to use radiomics calculator tool.
Published in:
PLoS ONE, 2019, v. 14, n. 2, p. 1, doi. 10.1371/journal.pone.0212223
By:
- Pfaehler, Elisabeth;
- Zwanenburg, Alex;
- de Jong, Johan R.;
- Boellaard, Ronald
Publication type:
Article
Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics features.
Published in:
European Journal of Nuclear Medicine & Molecular Imaging, 2022, v. 49, n. 13, p. 4642, doi. 10.1007/s00259-022-05916-4
By:
- Eertink, Jakoba J.;
- Zwezerijnen, Gerben J. C.;
- Cysouw, Matthijs C. F.;
- Wiegers, Sanne E.;
- Pfaehler, Elisabeth A. G.;
- Lugtenburg, Pieternella J.;
- van der Holt, Bronno;
- Hoekstra, Otto S.;
- de Vet, Henrica C. W.;
- Zijlstra, Josée M.;
- Boellaard, Ronald
Publication type:
Article
18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma.
Published in:
European Journal of Nuclear Medicine & Molecular Imaging, 2022, v. 49, n. 3, p. 932, doi. 10.1007/s00259-021-05480-3
By:
- Eertink, Jakoba J.;
- van de Brug, Tim;
- Wiegers, Sanne E.;
- Zwezerijnen, Gerben J. C.;
- Pfaehler, Elisabeth A. G.;
- Lugtenburg, Pieternella J.;
- van der Holt, Bronno;
- de Vet, Henrica C. W.;
- Hoekstra, Otto S.;
- Boellaard, Ronald;
- Zijlstra, Josée M.
Publication type:
Article
Machine learning-based analysis of [18F]DCFPyL PET radiomics for risk stratification in primary prostate cancer.
Published in:
European Journal of Nuclear Medicine & Molecular Imaging, 2021, v. 48, n. 2, p. 340, doi. 10.1007/s00259-020-04971-z
By:
- Cysouw, Matthijs C. F.;
- Jansen, Bernard H. E.;
- van de Brug, Tim;
- Oprea-Lager, Daniela E.;
- Pfaehler, Elisabeth;
- de Vries, Bart M.;
- van Moorselaar, Reindert J. A.;
- Hoekstra, Otto S.;
- Vis, André N.;
- Boellaard, Ronald
Publication type:
Article
Getting Cartilage Thickness Measurements Right: A Systematic Inter-Method Comparison Using MRI Data from the Osteoarthritis Initiative.
Published in:
Cartilage, 2023, v. 14, n. 1, p. 26, doi. 10.1177/19476035221144744
By:
- Nolte, Teresa;
- Westfechtel, Simon;
- Schock, Justus;
- Knobe, Matthias;
- Pastor, Torsten;
- Pfaehler, Elisabeth;
- Kuhl, Christiane;
- Truhn, Daniel;
- Nebelung, Sven
Publication type:
Article
Is PET Radiomics Useful to Predict Pathologic Tumor Response and Prognosis in Locally Advanced Cervical Cancer?
Published in:
Journal of Nuclear Medicine, 2024, v. 65, n. 6, p. 962, doi. 10.2967/jnumed.123.267044
By:
- Collarino, Angela;
- Feudo, Vanessa;
- Pasciuto, Tina;
- Florit, Anita;
- Pfaehler, Elisabeth;
- de Summa, Marco;
- Bizzarri, Nicolò;
- Annunziata, Salvatore;
- Zannoni, Gian Franco;
- de Geus-Oei, Lioe-Fee;
- Ferrandina, Gabriella;
- Gambacorta, Maria Antonietta;
- Scambia, Giovanni;
- Boellaard, Ronald;
- Sala, Evis;
- Rufini, Vittoria;
- van Velden, Floris H. P.
Publication type:
Article
Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?
Published in:
Journal of Nuclear Medicine, 2021, v. 62, n. 12, p. 1, doi. 10.2967/jnumed.121.262117
By:
- Eertink, Jakoba. J.;
- Pfaehler, Elisabeth. A. G.;
- Wiegers, Sanne. E.;
- de Brug, Tim van;
- Lugtenburg, Pieternella. J.;
- Hoekstra, Otto. S.;
- Zijlstra, Josée. M.;
- de Vet, Henrica. C. W.;
- Boellaard, Ronald
Publication type:
Article
Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?
Published in:
Journal of Nuclear Medicine, 2021, v. 62, n. 11, p. 1, doi. 10.2967/jnumed.121.262117
By:
- Eertink, Jakoba. J.;
- Pfaehler, Elisabeth. A. G.;
- Wiegers, Sanne. E.;
- van de Brug, Tim;
- Lugtenburg, Pieternella. J.;
- Hoekstra, Otto. S.;
- Zijlstra, Josée. M.;
- de Vet, Henrica. C. W.;
- Boellaard, Ronald
Publication type:
Article
Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?
Published in:
Journal of Nuclear Medicine, 2021, v. 62, n. 10, p. 1, doi. 10.2967/jnumed.121.262117
By:
- Eertink, Jakoba. J.;
- Pfaehler, Elisabeth. A. G.;
- Wiegers, Sanne. E.;
- de Brug, Tim van;
- Lugtenburg, Pieternella. J.;
- Hoekstra, Otto. S.;
- Zijlstra, Josée. M.;
- de Vet, Henrica. C. W.;
- Boellaard, Ronald
Publication type:
Article
Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?
Published in:
Journal of Nuclear Medicine, 2021, v. 62, n. 8, p. 1, doi. 10.2967/jnumed.121.262117
By:
- Eertink, Jakoba J.;
- Pfaehler, Elisabeth A. G.;
- Wiegers, Sanne E.;
- van de Brug, Tim;
- Lugtenburg, Pieternella J.;
- Hoekstra, Otto S.;
- Zijlstra, Josée M.;
- de Vet, Henrica C. W.;
- Boellaard, Ronald
Publication type:
Article
Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?
Published in:
Journal of Nuclear Medicine, 2021, v. 62, n. 7, p. 1, doi. 10.2967/jnumed.121.262117
By:
- Eertink, Jakoba J.;
- Pfaehler, Elisabeth A. G.;
- Wiegers, Sanne E.;
- van de Brug, Tim;
- Lugtenburg, Pieternella J.;
- Hoekstra, Otto S.;
- Zijlstra, Josée M.;
- de Vet, Henrica C. W.;
- Boellaard, Ronald
Publication type:
Article
Experimental multicenter and multivendor evaluation of PET radiomic features performance using 3D printed phantom inserts.
Published in:
Journal of Nuclear Medicine, 2019, v. 60, n. 12, p. 1, doi. 10.2967/jnumed.119.229724
By:
- Pfaehler, Elisabeth;
- van Sluis, Joyce;
- Merema, Bram B. J.;
- Ooijen, Peter van;
- Berendsen, Ralph C. M.;
- van Velden, Floris H. P.;
- Boellaard, Ronald
Publication type:
Article
Convolutional neural networks for automatic image quality control and EARL compliance of PET images.
Published in:
EJNMMI Physics, 2022, v. 9, n. 1, p. 1, doi. 10.1186/s40658-022-00468-w
By:
- Pfaehler, Elisabeth;
- Euba, Daniela;
- Rinscheid, Andreas;
- Hoekstra, Otto S.;
- Zijlstra, Josee;
- van Sluis, Joyce;
- Brouwers, Adrienne H.;
- Lapa, Constantin;
- Boellaard, Ronald
Publication type:
Article
Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET.
Published in:
EJNMMI Research, 2021, v. 11, n. 1, p. 1, doi. 10.1186/s13550-020-00744-9
By:
- Pfaehler, Elisabeth;
- Mesotten, Liesbet;
- Kramer, Gem;
- Thomeer, Michiel;
- Vanhove, Karolien;
- de Jong, Johan;
- Adriaensens, Peter;
- Hoekstra, Otto S.;
- Boellaard, Ronald
Publication type:
Article
Predictive value of quantitative 18F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma.
Published in:
EJNMMI Research, 2020, v. 10, n. 1, p. N.PAG, doi. 10.1186/s13550-020-00686-2
By:
- Martens, Roland M.;
- Koopman, Thomas;
- Noij, Daniel P.;
- Pfaehler, Elisabeth;
- Übelhör, Caroline;
- Sharma, Sughandi;
- Vergeer, Marije R.;
- Leemans, C. René;
- Hoekstra, Otto S.;
- Yaqub, Maqsood;
- Zwezerijnen, Gerben J.;
- Heymans, Martijn W.;
- Peeters, Carel F. W.;
- de Bree, Remco;
- de Graaf, Pim;
- Castelijns, Jonas A.;
- Boellaard, Ronald
Publication type:
Article
Plausibility and redundancy analysis to select FDG‐PET textural features in non‐small cell lung cancer.
Published in:
Medical Physics, 2021, v. 48, n. 3, p. 1226, doi. 10.1002/mp.14684
By:
- Pfaehler, Elisabeth;
- Mesotten, Liesbet;
- Zhovannik, Ivan;
- Pieplenbosch, Simone;
- Thomeer, Michiel;
- Vanhove, Karolien;
- Adriaensens, Peter;
- Boellaard, Ronald
Publication type:
Article
Multicenter CT phantoms public dataset for radiomics reproducibility tests.
Published in:
Medical Physics, 2019, v. 46, n. 3, p. 1512, doi. 10.1002/mp.13385
By:
- Kalendralis, Petros;
- Traverso, Alberto;
- Shi, Zhenwei;
- Zhovannik, Ivan;
- Monshouwer, René;
- Starmans, Martijn P. A.;
- Klein, Stefan;
- Pfaehler, Elisabeth;
- Boellaard, Ronald;
- Dekker, Andre;
- Wee, Leonard
Publication type:
Article
Repeatability of 18F‐FDG PET radiomic features: A phantom study to explore sensitivity to image reconstruction settings, noise, and delineation method.
Published in:
Medical Physics, 2019, v. 46, n. 2, p. 665, doi. 10.1002/mp.13322
By:
- Pfaehler, Elisabeth;
- Beukinga, Roelof J.;
- Jong, Johan R.;
- Slart, Riemer H. J. A.;
- Slump, Cornelis H.;
- Dierckx, Rudi A. J. O.;
- Boellaard, Ronald
Publication type:
Article
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.
Published in:
Medical Physics, 2017, v. 44, n. 12, p. 6413, doi. 10.1002/mp.12623
By:
- Mansor, Syahir;
- Pfaehler, Elisabeth;
- Heijtel, Dennis;
- Lodge, Martin A.;
- Boellaard, Ronald;
- Yaqub, Maqsood
Publication type:
Article
Noise sensitivity of 89Zr-Immuno-PET radiomics based on count-reduced clinical images.
Published in:
EJNMMI Physics, 2022, v. 9, n. 1, p. 1, doi. 10.1186/s40658-022-00444-4
By:
- Somasundaram, Ananthi;
- García, David Vállez;
- Pfaehler, Elisabeth;
- Jauw, Yvonne W. S.;
- Zijlstra, Josée M.;
- van Dongen, Guus A. M. S.;
- Menke-van der Houven van Oordt, Willemien C.;
- Huisman, Marc C.;
- de Vries, Elisabeth G. E.;
- Boellaard, Ronald
Publication type:
Article
SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool.
Published in:
EJNMMI Physics, 2018, v. 5, n. 1, p. 1, doi. 10.1186/s40658-018-0215-x
By:
- Pfaehler, Elisabeth;
- De Jong, Johan R.;
- Dierckx, Rudi A. J. O.;
- van Velden, Floris H. P.;
- Boellaard, Ronald
Publication type:
Article
Segmentation Uncertainty Estimation as a Sanity Check for Image Biomarker Studies.
Published in:
Cancers, 2022, v. 14, n. 5, p. 1288, doi. 10.3390/cancers14051288
By:
- Zhovannik, Ivan;
- Bontempi, Dennis;
- Romita, Alessio;
- Pfaehler, Elisabeth;
- Primakov, Sergey;
- Dekker, Andre;
- Bussink, Johan;
- Traverso, Alberto;
- Monshouwer, René
Publication type:
Article
Mitigation of noise-induced bias of PET radiomic features.
Published in:
PLoS ONE, 2022, v. 17, n. 8, p. 1, doi. 10.1371/journal.pone.0272643
By:
- Somasundaram, Ananthi;
- Vállez García, David;
- Pfaehler, Elisabeth;
- van Sluis, Joyce;
- Dierckx, Rudi A. J. O.;
- de Vries, Elisabeth G. E.;
- Boellaard, Ronald
Publication type:
Article

Works by Pfaehler, Elisabeth

Untrained perceptual loss for image denoising of line-like structures in MR images.

PET segmentation of bulky tumors: Strategies and workflows to improve inter-observer variability.

RaCaT: An open source and easy to use radiomics calculator tool.

Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics features.

<sup>18</sup>F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma.

Machine learning-based analysis of [18F]DCFPyL PET radiomics for risk stratification in primary prostate cancer.

Getting Cartilage Thickness Measurements Right: A Systematic Inter-Method Comparison Using MRI Data from the Osteoarthritis Initiative.

Is PET Radiomics Useful to Predict Pathologic Tumor Response and Prognosis in Locally Advanced Cervical Cancer?

Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?

Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?

Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?

Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?

Quantitative radiomics features in diffuse large B-cell lymphoma: does segmentation method matter?

Experimental multicenter and multivendor evaluation of PET radiomic features performance using 3D printed phantom inserts.

Convolutional neural networks for automatic image quality control and EARL compliance of PET images.

Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET.

Predictive value of quantitative <sup>18</sup>F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma.

Plausibility and redundancy analysis to select FDG‐PET textural features in non‐small cell lung cancer.

Multicenter CT phantoms public dataset for radiomics reproducibility tests.

Repeatability of <sup>18</sup>F‐FDG PET radiomic features: A phantom study to explore sensitivity to image reconstruction settings, noise, and delineation method.

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.

Noise sensitivity of <sup>89</sup>Zr-Immuno-PET radiomics based on count-reduced clinical images.

SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool.

Segmentation Uncertainty Estimation as a Sanity Check for Image Biomarker Studies.

Mitigation of noise-induced bias of PET radiomic features.