Works matching AU Pfaehler, Elisabeth

Results: 25

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Works matching AU Pfaehler, Elisabeth

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

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

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

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

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

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

Mitigation of noise-induced bias of PET radiomic features.

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.

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.

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

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?

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

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

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

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