Untrained perceptual loss for image denoising of line-like structures in MR images. by Elisabeth Pfaehler, Daniel Pflugfelder, Hanno Scharr

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RaCaT: An open source and easy to use radiomics calculator tool. by Elisabeth Pfaehler, Alex Zwanenburg, Johan R de Jong, Ronald Boellaard

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SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool by Elisabeth Pfaehler, Johan R. De Jong, Rudi A. J. O. Dierckx, Floris H. P. van Velden, Ronald Boellaard

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Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET by Elisabeth Pfaehler, Liesbet Mesotten, Gem Kramer, Michiel Thomeer, Karolien Vanhove, Johan de Jong, Peter Adriaensens, Otto S. Hoekstra, Ronald Boellaard

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Convolutional neural networks for automatic image quality control and EARL compliance of PET images by Elisabeth Pfaehler, Daniela Euba, Andreas Rinscheid, Otto S. Hoekstra, Josee Zijlstra, Joyce van Sluis, Adrienne H. Brouwers, Constantin Lapa, Ronald Boellaard

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Mitigation of noise-induced bias of PET radiomic features. by Ananthi Somasundaram, David Vállez García, Elisabeth Pfaehler, Joyce van Sluis, Rudi A J O Dierckx, Elisabeth G E de Vries, Ronald Boellaard

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A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features by Elisabeth Pfaehler, Ivan Zhovannik, Lise Wei, Ronald Boellaard, Andre Dekker, René Monshouwer, Issam El Naqa, Jan Bussink, Robert Gillies, Leonard Wee, Alberto Traverso

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

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Predictive value of quantitative 18F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma by 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

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METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII by 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

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