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  • LATEST MANUSCRIPTS IN Physics and Imaging in Radiation Oncology
  • Esther Decabooter, Guido C Hilgers, Joke De Rouck, Koen Salvo, Jacobus Van Wingerden, Hilde Bosmans, Brent van der Heyden, Sima Qamhiyeh, Chrysi Papalazarou, Robert Kaatee, Geert Pittomvils, Evelien Bogaert. Survey on fan-beam computed tomography for radiotherapy: Imaging for dose calculation and delineation. Physics and imaging in radiation oncology. 2024, 29: 100522
    Cited : 1
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  • Manuela Burghelea, Jinane Bakkali Tahiri, Jennifer Dhont, Martin Kyndt, Akos Gulyban, Juliane Szkitsak, Evelien Bogaert, Dirk van Gestel, Nick Reynaert. Results of a multicenter 4D computed tomography quality assurance audit: Evaluating image accuracy and consistency. Physics and imaging in radiation oncology. 2023, 28: 100479
    Cited : 1
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  • Hana Baroudi, Callistus I Huy Minh Nguyen, Sean Maroongroge, Benjamin D Smith, Joshua S Niedzielski, Simona F Shaitelman, Adam Melancon, Sanjay Shete, Thomas J Whitaker, Melissa P Mitchell, Isidora Yvonne Arzu, Jack Duryea, Soleil Hernandez, Daniel El Basha, Raymond Mumme, Tucker Netherton, Karen Hoffman, Laurence Court. Automated contouring and statistical process control for plan quality in a breast clinical trial. Physics and imaging in radiation oncology. 2023, 28: 100486
    Cited : 0
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  • Lisa Alborghetti, Roberta Castriconi, Carlos Sosa Marrero, Alessia Tudda, Maria Giulia Ubeira-Gabellini, Sara Broggi, Javier Pascau, Lucia Cubero, Cesare Cozzarini, Renaud De Crevoisier, Tiziana Rancati, Oscar Acosta, Claudio Fiorino. Selective sparing of bladder and rectum sub-regions in radiotherapy of prostate cancer combining knowledge-based automatic planning and multicriteria optimization. Physics and imaging in radiation oncology. 2023, 28: 100488
    Cited : 1
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  • Robin den Boer, Kelvin Ng Wei Siang, Mandy Yuen, Alicia Borggreve, Ingmar Defize, Astrid van Lier, Jelle Ruurda, Richard van Hillegersberg, Stella Mook, Gert Meijer. A robust semi-automatic delineation workflow using denoised diffusion weighted magnetic resonance imaging for response assessment of patients with esophageal cancer treated with neoadjuvant chemoradiotherapy. Physics and imaging in radiation oncology. 2023, 28: 100489
    Cited : 1
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  • Alannah Kejda, Alexandra Quinn, Shelley Wong, Toby Lowe, Isabelle Fent, Maegan Gargett, Stephanie Roderick, Kylie Grimberg, Sarah Bergamin, Thomas Eade, Jeremy Booth. Evaluation of the clinical feasibility of cone-beam computed tomography guided online adaption for simulation-free palliative radiotherapy. Physics and imaging in radiation oncology. 2023, 28: 100490
    Cited : 2
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  • Alex T Price, Kylie H Kang, Francisco J Reynoso, Eric Laugeman, Christopher D Abraham, Jiayi Huang, Jessica Hilliard, Nels C Knutson, Lauren E Henke. trial of simulation-free hippocampal-avoidance whole brain adaptive radiotherapy. Physics and imaging in radiation oncology. 2023, 28: 100491
    Cited : 2
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  • Michele Zeverino, Consiglia Piccolo, Diana Wuethrich, Wendy Jeanneret-Sozzi, Maud Marguet, Jean Bourhis, Francois Bochud, Raphael Moeckli. Clinical implementation of deep learning-based automated left breast simultaneous integrated boost radiotherapy treatment planning. Physics and imaging in radiation oncology. 2023, 28: 100492
    Cited : 2
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  • Torbjörn Näsmark, Jonas Andersson. The influence of dual-energy computed tomography image noise in proton therapy treatment planning. Physics and imaging in radiation oncology. 2023, 28: 100493
    Cited : 0
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  • Geert De Kerf, Michaël Claessens, Fadoua Raouassi, Carole Mercier, Daan Stas, Piet Ost, Piet Dirix, Dirk Verellen. A geometry and dose-volume based performance monitoring of artificial intelligence models in radiotherapy treatment planning for prostate cancer. Physics and imaging in radiation oncology. 2023, 28: 100494
    Cited : 1
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  • Jens Edmund, Marianne Feen Rønjom, Mette van Overeem Felter, Christian Maare, Annica Margrete Juul Dam, Eirini Tsaggari, Patrick Wohlfahrt. Split-filter dual energy computed tomography radiotherapy: From calibration to image guidance. Physics and imaging in radiation oncology. 2023, 28: 100495
    Cited : 2
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  • Nienke Bakx, Maurice van der Sangen, Jacqueline Theuws, Johanna Bluemink, Coen Hurkmans. Evaluation of a clinically introduced deep learning model for radiotherapy treatment planning of breast cancer. Physics and imaging in radiation oncology. 2023, 28: 100496
    Cited : 0
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  • Hafiz Muhammad Fahad, Stefan Dorsch, Moritz Zaiss, Christian P Karger. Multi-parametric optimization of magnetic resonance imaging sequences for magnetic resonance-guided radiotherapy. Physics and imaging in radiation oncology. 2023, 28: 100497
    Cited : 0
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  • Maria Kawula, Marica Vagni, Davide Cusumano, Luca Boldrini, Lorenzo Placidi, Stefanie Corradini, Claus Belka, Guillaume Landry, Christopher Kurz. Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer. Physics and imaging in radiation oncology. 2023, 28: 100498
    Cited : 3
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  • Annika Mannerberg, Martin P Nilsson, Anneli Edvardsson, Kristin Karlsson, Sofie Ceberg. Abdominal compression as motion management for stereotactic radiotherapy of ventricular tachycardia. Physics and imaging in radiation oncology. 2023, 28: 100499
    Cited : 1
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