Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Elisabeth, Pfaehler"'
Autor:
Burak Kocak, Tugba Akinci D’Antonoli, Nathaniel Mercaldo, Angel Alberich-Bayarri, Bettina Baessler, Ilaria Ambrosini, Anna E. Andreychenko, Spyridon Bakas, Regina G. H. Beets-Tan, Keno Bressem, Irene Buvat, Roberto Cannella, Luca Alessandro Cappellini, Armando Ugo Cavallo, Leonid L. Chepelev, Linda Chi Hang Chu, Aydin Demircioglu, Nandita M. deSouza, Matthias Dietzel, Salvatore Claudio Fanni, Andrey Fedorov, Laure S. Fournier, Valentina Giannini, Rossano Girometti, Kevin B. W. Groot Lipman, Georgios Kalarakis, Brendan S. Kelly, Michail E. Klontzas, Dow-Mu Koh, Elmar Kotter, Ho Yun Lee, Mario Maas, Luis Marti-Bonmati, Henning Müller, Nancy Obuchowski, Fanny Orlhac, Nikolaos Papanikolaou, Ekaterina Petrash, Elisabeth Pfaehler, Daniel Pinto dos Santos, Andrea Ponsiglione, Sebastià Sabater, Francesco Sardanelli, Philipp Seeböck, Nanna M. Sijtsema, Arnaldo Stanzione, Alberto Traverso, Lorenzo Ugga, Martin Vallières, Lisanne V. van Dijk, Joost J. M. van Griethuysen, Robbert W. van Hamersvelt, Peter van Ooijen, Federica Vernuccio, Alan Wang, Stuart Williams, Jan Witowski, Zhongyi Zhang, Alex Zwanenburg, Renato Cuocolo
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Purpose To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies. Methods We conducted an online modified Delphi study with a group of international experts.
Externí odkaz:
https://doaj.org/article/84735d3b21f949ab8a02d96fb603cc0c
Autor:
Elisabeth Pfaehler, Daniela Euba, Andreas Rinscheid, Otto S. Hoekstra, Josee Zijlstra, Joyce van Sluis, Adrienne H. Brouwers, Constantin Lapa, Ronald Boellaard
Publikováno v:
EJNMMI Physics, Vol 9, Iss 1, Pp 1-13 (2022)
Abstract Background Machine learning studies require a large number of images often obtained on different PET scanners. When merging these images, the use of harmonized images following EARL-standards is essential. However, when including retrospecti
Externí odkaz:
https://doaj.org/article/a1f04725e9a743b9bd1b08fc4e84537b
Autor:
Ananthi Somasundaram, David Vállez García, Elisabeth Pfaehler, Yvonne W. S. Jauw, Josée M. Zijlstra, Guus A. M. S. van Dongen, Willemien C. Menke-van der Houven van Oordt, Marc C. Huisman, Elisabeth G. E. de Vries, Ronald Boellaard
Publikováno v:
EJNMMI Physics, Vol 9, Iss 1, Pp 1-13 (2022)
Abstract Purpose Low photon count in 89Zr-Immuno-PET results in images with a low signal-to-noise ratio (SNR). Since PET radiomics are sensitive to noise, this study focuses on the impact of noise on radiomic features from 89Zr-Immuno-PET clinical im
Externí odkaz:
https://doaj.org/article/e68e45dee393427aba60c8fc28f050d3
Autor:
Elisabeth Pfaehler, Ivan Zhovannik, Lise Wei, Ronald Boellaard, Andre Dekker, René Monshouwer, Issam El Naqa, Jan Bussink, Robert Gillies, Leonard Wee, Alberto Traverso
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 20, Iss , Pp 69-75 (2021)
Background and Purpose: Although quantitative image biomarkers (radiomics) show promising value for cancer diagnosis, prognosis, and treatment assessment, these biomarkers still lack reproducibility. In this systematic review, we aimed to assess the
Externí odkaz:
https://doaj.org/article/7555f1f9a7b74a5bb49c2ff4bb27b386
Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET
Autor:
Elisabeth Pfaehler, Liesbet Mesotten, Gem Kramer, Michiel Thomeer, Karolien Vanhove, Johan de Jong, Peter Adriaensens, Otto S. Hoekstra, Ronald Boellaard
Publikováno v:
EJNMMI Research, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Background Positron emission tomography (PET) is routinely used for cancer staging and treatment follow-up. Metabolic active tumor volume (MATV) as well as total MATV (TMATV—including primary tumor, lymph nodes and metastasis) and/or total
Externí odkaz:
https://doaj.org/article/461be31f8fc2498086df5a6ae04e80f5
Autor:
Roland M. Martens, Thomas Koopman, Daniel P. Noij, Elisabeth Pfaehler, Caroline Übelhör, Sughandi Sharma, Marije R. Vergeer, C. René Leemans, Otto S. Hoekstra, Maqsood Yaqub, Gerben J. Zwezerijnen, Martijn W. Heymans, Carel F. W. Peeters, Remco de Bree, Pim de Graaf, Jonas A. Castelijns, Ronald Boellaard
Publikováno v:
EJNMMI Research, Vol 10, Iss 1, Pp 1-15 (2020)
Abstract Background Radiomics is aimed at image-based tumor phenotyping, enabling application within clinical-decision-support-systems to improve diagnostic accuracy and allow for personalized treatment. The purpose was to identify predictive 18-fluo
Externí odkaz:
https://doaj.org/article/e9eb6e3e52734f8994cff40763189297
Autor:
Ananthi Somasundaram, David Vállez García, Elisabeth Pfaehler, Joyce van Sluis, Rudi A J O Dierckx, Elisabeth G E de Vries, Ronald Boellaard
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272643 (2022)
IntroductionOne major challenge in PET radiomics is its sensitivity to noise. Low signal-to-noise ratio (SNR) affects not only the precision but also the accuracy of quantitative metrics extracted from the images resulting in noise-induced bias. This
Externí odkaz:
https://doaj.org/article/27b29e38bac54550b3d3829f2f1c4359
Autor:
Elisabeth Pfaehler, Johan R. De Jong, Rudi A. J. O. Dierckx, Floris H. P. van Velden, Ronald Boellaard
Publikováno v:
EJNMMI Physics, Vol 5, Iss 1, Pp 1-18 (2018)
Abstract Background Positron-emission tomography (PET) simulators are frequently used for development and performance evaluation of segmentation methods or quantitative uptake metrics. To date, most PET simulation tools are based on Monte Carlo simul
Externí odkaz:
https://doaj.org/article/32cf961710a74efab66a0a43c41771ff
Autor:
Teresa Nolte, Simon Westfechtel, Justus Schock, Matthias Knobe, Torsten Pastor, Elisabeth Pfaehler, Christiane Kuhl, Daniel Truhn, Sven Nebelung
Publikováno v:
CARTILAGE. 14:26-38
Objective Magnetic resonance imaging is the standard imaging modality to assess articular cartilage. As the imaging surrogate of degenerative joint disease, cartilage thickness is commonly quantified after tissue segmentation. In lack of a standard m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39bae259bf594e2c997604270e521bf6
https://doi.org/10.1177/19476035221144744
https://doi.org/10.1177/19476035221144744
Autor:
Elisabeth Pfaehler, Coreline Burggraaff, Gem Kramer, Josée Zijlstra, Otto S Hoekstra, Mathilde Jalving, Walter Noordzij, Adrienne H Brouwers, Marc G Stevenson, Johan de Jong, Ronald Boellaard
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0230901 (2020)
BackgroundPET-based tumor delineation is an error prone and labor intensive part of image analysis. Especially for patients with advanced disease showing bulky tumor FDG load, segmentations are challenging. Reducing the amount of user-interaction in
Externí odkaz:
https://doaj.org/article/7c18ab763bb14665b14d3a09b1ebfa0a