On Representative Elementary Volumes of Grayscale Micro‐CT Images of Porous Media von Singh, Ankita, Regenauer‐Lieb, Klaus, Walsh, Stuart D. C., Armstrong, Ryan T., Griethuysen, Joost J. M., Mostaghimi, Peyman

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Computational Radiomics System to Decode the Radiographic Phenotype von van Griethuysen, Joost J M, Fedorov, Andriy, Parmar, Chintan, Hosny, Ahmed, Aucoin, Nicole, Narayan, Vivek, Beets-Tan, Regina G H, Fillion-Robin, Jean-Christophe, Pieper, Steve, Aerts, Hugo J W L

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Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR von Trebeschi, Stefano, van Griethuysen, Joost J. M., Lambregts, Doenja M. J., Lahaye, Max J., Parmar, Chintan, Bakers, Frans C. H., Peters, Nicky H. G. M., Beets-Tan, Regina G. H., Aerts, Hugo J. W. L.

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Gas-induced susceptibility artefacts on diffusion-weighted MRI of the rectum at 1.5 T – Effect of applying a micro-enema to improve image quality von van Griethuysen, Joost J.M., Bus, Elyse M., Hauptmann, Michael, Lahaye, Max J., Maas, Monique, ter Beek, Leon C., Beets, Geerard L., Bakers, Frans C.H., Beets-Tan, Regina G.H., Lambregts, Doenja M.J.

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Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC von Dou, Tai H, Coroller, Thibaud P, van Griethuysen, Joost J M, Mak, Raymond H, Aerts, Hugo J W L

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Multi-sequence MRI radiomics of colorectal liver metastases: Which features are reproducible across readers? von van der Reijd, Denise J., Chupetlovska, Kalina, van Dijk, Eleanor, Westerink, Bram, Monraats, Melanie A., Van Griethuysen, Joost J.M., Lambregts, Doenja M.J., Tissier, Renaud, Beets-Tan, Regina G.H., Benson, Sean, Maas, Monique

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Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer von van Griethuysen, Joost J. M., Lambregts, Doenja M. J., Trebeschi, Stefano, Lahaye, Max J., Bakers, Frans C. H., Vliegen, Roy F. A., Beets, Geerard L., Aerts, Hugo J. W. L., Beets-Tan, Regina G. H.

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A Pattern-Based Approach Combining Tumor Morphology on MRI With Distinct Signal Patterns on Diffusion-Weighted Imaging to Assess Response of Rectal Tumors After Chemoradiotherapy von Lambregts, Doenja M.J, Delli Pizzi, Andrea, Lahaye, Max J, van Griethuysen, Joost J.M, Maas, Monique, Beets, Geerard L, Bakers, Frans C.H, Beets-Tan, Regina G.H

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The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights von Whybra, Philip, Zwanenburg, Alex, Andrearczyk, Vincent, Schaer, Roger, Apte, Aditya P, Ayotte, Alexandre, Baheti, Bhakti, Bakas, Spyridon, Bettinelli, Andrea, Boellaard, Ronald, Boldrini, Luca, Buvat, Irène, Cook, Gary J R, Dietsche, Florian, Dinapoli, Nicola, Gabryś, Hubert S, Goh, Vicky, Guckenberger, Matthias, Hatt, Mathieu, Hosseinzadeh, Mahdi, Iyer, Aditi, Lenkowicz, Jacopo, Loutfi, Mahdi A L, Löck, Steffen, Marturano, Francesca, Morin, Olivier, Nioche, Christophe, Orlhac, Fanny, Pati, Sarthak, Rahmim, Arman, Rezaeijo, Seyed Masoud, Rookyard, Christopher G, Salmanpour, Mohammad R, Schindele, Andreas, Shiri, Isaac, Spezi, Emiliano, Tanadini-Lang, Stephanie, Tixier, Florent, Upadhaya, Taman, Valentini, Vincenzo, van Griethuysen, Joost J M, Yousefirizi, Fereshteh, Zaidi, Habib, Müller, Henning, Vallières, Martin, Depeursinge, Adrien

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Sources of variation in multicenter rectal MRI data and their effect on radiomics feature reproducibility von Schurink, Niels W., van Kranen, Simon R., Roberti, Sander, van Griethuysen, Joost J. M., Bogveradze, Nino, Castagnoli, Francesca, el Khababi, Najim, Bakers, Frans C. H., de Bie, Shira H., Bosma, Gerlof P. T., Cappendijk, Vincent C., Geenen, Remy W. F., Neijenhuis, Peter A., Peterson, Gerald M., Veeken, Cornelis J., Vliegen, Roy F. A., Beets-Tan, Regina G. H., Lambregts, Doenja M. J.

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Outcomes and potential impact of a virtual hands-on training program on MRI staging confidence and performance in rectal cancer von El Khababi, Najim, Beets-Tan, Regina G. H., Tissier, Renaud, Lahaye, Max J., Maas, Monique, Curvo-Semedo, Luís, Dresen, Raphaëla C., van Griethuysen, Joost J. M., Nougaret, Stephanie, Beets, Geerard L., van Triest, Baukelien, Taylor, Stuart A., Lambregts, Doenja M. J.

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External validation of an MR-based radiomic model predictive of locoregional control in oropharyngeal cancer von Bos, Paula, Martens, Roland M., de Graaf, Pim, Jasperse, Bas, van Griethuysen, Joost J. M., Boellaard, Ronald, Leemans, C. René, Beets-Tan, Regina G. H., van de Wiel, Mark A., van den Brekel, Michiel W. M., Castelijns, Jonas A.

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Studying local tumour heterogeneity on MRI and FDG-PET/CT to predict response to neoadjuvant chemoradiotherapy in rectal cancer von Schurink, Niels W., van Kranen, Simon R., Berbee, Maaike, van Elmpt, Wouter, Bakers, Frans C. H., Roberti, Sander, van Griethuysen, Joost J. M., Min, Lisa A., Lahaye, Max J., Maas, Monique, Beets, Geerard L., Beets-Tan, Regina G. H., Lambregts, Doenja M. J.

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Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer von Schurink, Niels W., van Kranen, Simon R., van Griethuysen, Joost J. M., Roberti, Sander, Snaebjornsson, Petur, Bakers, Frans C. H., de Bie, Shira H., Bosma, Gerlof P. T., Cappendijk, Vincent C., Geenen, Remy W. F., Neijenhuis, Peter A., Peterson, Gerald M., Veeken, Cornelis J., Vliegen, Roy F. A., Peters, Femke P., Bogveradze, Nino, el Khababi, Najim, Lahaye, Max J., Maas, Monique, Beets, Geerard L., Beets-Tan, Regina G. H., Lambregts, Doenja M. J.

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A decade of multi-modality PET and MR imaging in abdominal oncology von Min, Lisa A, Castagnoli, Francesca, Vogel, Wouter V, Vellenga, Jisk P, van Griethuysen, Joost J M, Lahaye, Max J, Maas, Monique, Beets Tan, Regina G H, Lambregts, Doenja M J

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Value of combined multiparametric MRI and FDG-PET/CT to identify well-responding rectal cancer patients before the start of neoadjuvant chemoradiation von Schurink, Niels W., Min, Lisa A., Berbee, Maaike, van Elmpt, Wouter, van Griethuysen, Joost J. M., Bakers, Frans C. H., Roberti, Sander, van Kranen, Simon R., Lahaye, Max J., Maas, Monique, Beets, Geerard L., Beets-Tan, Regina G. H., Lambregts, Doenja M. J.

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Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR von Trebeschi, Stefano, van Griethuysen, Joost J. M., Lambregts, Doenja M. J., Lahaye, Max J., Parmar, Chintan, Bakers, Frans C. H., Peters, Nicky H. G. M., Beets-Tan, Regina G. H., Aerts, Hugo J. W. L.

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Evolutions in rectal cancer MRI staging and risk stratification in The Netherlands von Bogveradze, Nino, el Khababi, Najim, Schurink, Niels W., van Griethuysen, Joost J. M., de Bie, Shira, Bosma, Gerlof, Cappendijk, Vincent C., Geenen, Remy W. F., Neijenhuis, Peter, Peterson, Gerald, Veeken, Cornelis J., Vliegen, Roy F. A., Maas, Monique, Lahaye, Max J., Beets, Geerard L., Beets-Tan, Regina G. H., Lambregts, Doenja M. J.

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Automated and Semiautomated Segmentation of Rectal Tumor Volumes on Diffusion-Weighted MRI: Can It Replace Manual Volumetry? von van Heeswijk, Miriam M., MD, Lambregts, Doenja M.J., MD, PhD, van Griethuysen, Joost J.M., MD, Oei, Stanley, MD, Rao, Sheng-Xiang, MD, PhD, de Graaff, Carla A.M., MD, Vliegen, Roy F.A., MD, PhD, Beets, Geerard L., MD, PhD, Papanikolaou, Nikos, PhD, Beets-Tan, Regina G.H., MD, PhD

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Predicting response to chemoradiotherapy in rectal cancer via visual morphologic assessment and staging on baseline MRI: a multicenter and multireader study von El Khababi, Najim, Beets-Tan, Regina G. H., Tissier, Renaud, Lahaye, Max J., Maas, Monique, Curvo-Semedo, Luís, Dresen, Raphaëla C., Nougaret, Stephanie, Beets, Geerard L., Lambregts, Doenja M. J.

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