Special Issue: “Machine Learning for Computer-Aided Diagnosis in Biomedical Imaging” by Seong K. Mun, Dow-Mu Koh

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Deep Learning for Delineation of the Spinal Canal in Whole-Body Diffusion-Weighted Imaging: Normalising Inter- and Intra-Patient Intensity Signal in Multi-Centre Datasets by Antonio Candito, Richard Holbrey, Ana Ribeiro, Christina Messiou, Nina Tunariu, Dow-Mu Koh, Matthew D. Blackledge

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Clinical application of machine learning models in patients with prostate cancer before prostatectomy by Adalgisa Guerra, Matthew R. Orton, Helen Wang, Marianna Konidari, Kris Maes, Nickolas K. Papanikolaou, Dow Mu Koh

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Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges by Reza Kalantar, Gigin Lin, Jessica M. Winfield, Christina Messiou, Susan Lalondrelle, Matthew D. Blackledge, Dow-Mu Koh

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Multiparametric bone MRI targeting aides lesion selection for CT-guided sclerotic bone biopsies in metastatic castrate resistant prostate cancer by Ricardo Donners, Ines Figueiredo, Daniel Westaby, Dow-Mu Koh, Nina Tunariu, Suzanne Carreira, Johann S. de Bono, Nicos Fotiadis

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Assessment of treatment response by total tumor volume and global apparent diffusion coefficient using diffusion-weighted MRI in patients with metastatic bone disease: a feasibilit... by Matthew D Blackledge, David J Collins, Nina Tunariu, Matthew R Orton, Anwar R Padhani, Martin O Leach, Dow-Mu Koh

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Prediction of extracapsular extension of prostate cancer by MRI radiomic signature: a systematic review by Adalgisa Guerra, Helen Wang, Matthew R. Orton, Marianna Konidari, Nickolas K. Papanikolaou, Dow Mu Koh, Helena Donato, Filipe Caseiro Alves

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Integrating the OHIF Viewer into XNAT: Achievements, Challenges and Prospects for Quantitative Imaging Studies by Simon J. Doran, Mohammad Al Sa’d, James A. Petts, James Darcy, Kate Alpert, Woonchan Cho, Lorena Escudero Sanchez, Sachidanand Alle, Ahmed El Harouni, Brad Genereaux, Erik Ziegler, Gordon J. Harris, Eric O. Aboagye, Evis Sala, Dow-Mu Koh, Dan Marcus

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Interpretability of radiomics models is improved when using feature group selection strategies for predicting molecular and clinical targets in clear-cell renal cell carcinoma: ins... by Matthew R. Orton, Evan Hann, Simon J. Doran, Scott T. C. Shepherd, Derfel Ap Dafydd, Charlotte E. Spencer, José I. López, Víctor Albarrán-Artahona, Francesca Comito, Hannah Warren, Joshua Shur, Christina Messiou, James Larkin, Samra Turajlic, on behalf of the TRACERx Renal Consortium, Dow-Mu Koh

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Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world data by Simon J. Doran, Theo Barfoot, Linda Wedlake, Jessica M. Winfield, James Petts, Ben Glocker, Xingfeng Li, Martin Leach, Martin Kaiser, Tara D. Barwick, Aristeidis Chaidos, Laura Satchwell, Neil Soneji, Khalil Elgendy, Alexander Sheeka, Kathryn Wallitt, Dow-Mu Koh, Christina Messiou, Andrea Rockall

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Development and evaluation of machine-learning methods in whole-body magnetic resonance imaging with diffusion weighted imaging for staging of patients with cancer: the MALIBO diag... by Andrea Rockall, Xingfeng Li, Nicholas Johnson, Ioannis Lavdas, Shalini Santhakumaran, A Toby Prevost, Dow-Mu Koh, Shonit Punwani, Vicky Goh, Nishat Bharwani, Amandeep Sandhu, Harbir Sidhu, Andrew Plumb, James Burn, Aisling Fagan, Alf Oliver, Georg J Wengert, Daniel Rueckert, Eric Aboagye, Stuart A Taylor, Ben Glocker

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Smoking trends and health equity in Switzerland between 1992 and 2017: dependence of smoking prevalence on educational level and social determinants by Daniel Wehrli, Daniel Wehrli, Hans Gilljam, Dow Mu Koh, Simon Matoori, Thomas Sartoretti, Thomas Sartoretti, Stefan Boes, Martin Hartmann, Katharina Roser, Alexander Ort, Philippe Wanner, Dorothee Harder, Dorothee Harder, Rasmus Bech-Hohenberger, Johannes M. Froehlich, Georg Marcus Fröhlich, Georg Marcus Fröhlich, Jochen Mutschler, Tino Plümecke, Tino Plümecke, Andreas Gutzeit, Andreas Gutzeit, Andreas Gutzeit, Andreas Gutzeit

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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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