Targeted nutritional intervention attenuates experimental lung cancer cachexia von Worp, Wouter R. P. H., Theys, Jan, Wolfs, Cecile J. A., Verhaegen, Frank, Schols, Annemie M. W. J., Helvoort, Ardy, Langen, Ramon C. J.

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A 3D transfer learning approach for identifying multiple simultaneous errors during radiotherapy von van den Berg, Kars, Wolfs, Cecile J A, Verhaegen, Frank

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Identification of treatment error types for lung cancer patients using convolutional neural networks and EPID dosimetry von Wolfs, Cecile J.A., Canters, Richard A.M., Verhaegen, Frank

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Turning the attention to time-resolved EPID-images: treatment error classification with transformer multiple instance learning von Iarkin, Viacheslav, de Jong, Evelyn E C, Hendrix, Rutger, Verhaegen, Frank, Wolfs, Cecile J A

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A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targeting von Rezaeifar, Behzad, Wolfs, Cecile J A, Lieuwes, Natasja G, Biemans, Rianne, Reniers, Brigitte, Dubois, Ludwig J, Verhaegen, Frank

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A deep-learning assisted bioluminescence tomography method to enable radiation targeting in rat glioblastoma von Rezaeifar, Behzad, Wolfs, Cecile J A, Lieuwes, Natasja G, Biemans, Rianne, Reniers, Brigitte, Dubois, Ludwig J, Verhaegen, Frank

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Automatic contouring of normal tissues with deep learning for preclinical radiation studies von Lappas, Georgios, Wolfs, Cecile J A, Staut, Nick, Lieuwes, Natasja G, Biemans, Rianne, van Hoof, Stefan J, Dubois, Ludwig J, Verhaegen, Frank

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A novel multichannel deep learning model for fast denoising of Monte Carlo dose calculations: preclinical applications von van Dijk, Robert H W, Staut, Nick, Wolfs, Cecile J A, Verhaegen, Frank

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Towards a fully automatic workflow for investigating the dynamics of lung cancer cachexia during radiotherapy using cone beam computed tomography von Daenen, Lars H B A, van de Worp, Wouter R P H, Rezaeifar, Behzad, de Bruijn, Joël, Qiu, Peiyu, Webster, Justine M, Peeters, Stéphanie, De Ruysscher, Dirk, Langen, Ramon C J, Wolfs, Cecile J A, Verhaegen, Frank

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What is the optimal input information for deep learning-based pre-treatment error identification in radiotherapy? von Wolfs, Cecile J.A., Verhaegen, Frank

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Should dose from small fields be limited for dose verification procedures?: uncertainty versus small field dose in VMAT treatments von Wolfs, Cecile J A, Swinnen, Ans C C, Nijsten, Sebastiaan M J J G, Verhaegen, Frank

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Validation and uncertainty analysis of a pre-treatment 2D dose prediction model von Baeza, Jose A, Wolfs, Cecile J A, Nijsten, Sebastiaan M J J G, Verhaegen, Frank

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External validation of a hidden Markov model for gamma‐based classification of anatomical changes in lung cancer patients using EPID dosimetry von Wolfs, Cecile J. A., Varfalvy, Nicolas, Canters, Richard A. M., Nijsten, Sebastiaan M. J. J. G., Hattu, Djoya, Archambault, Louis, Verhaegen, Frank

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Inter-observer variability of organ contouring for preclinical studies with cone beam Computed Tomography imaging von Lappas, Georgios, Staut, Nick, Lieuwes, Natasja G., Biemans, Rianne, Wolfs, Cecile J.A., van Hoof, Stefan J., Dubois, Ludwig J., Verhaegen, Frank

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Detection of anatomical changes in lung cancer patients with 2D time-integrated, 2D time-resolved and 3D time-integrated portal dosimetry: a simulation study von Wolfs, Cecile J A, Brás, Mariana G, Schyns, Lotte E J R, Nijsten, Sebastiaan M J J G, van Elmpt, Wouter, Scheib, Stefan G, Baltes, Christof, Podesta, Mark, Verhaegen, Frank

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Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation von Glazunova, Olga, Wolfs, Cecile J. A, Verhaegen, Frank

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Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation von Glazunova, Olga, Wolfs, Cecile J A, Verhaegen, Frank

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Combination Chemotherapy in Advanced Adrenocortical Carcinoma von Fassnacht, Martin, Terzolo, Massimo, Allolio, Bruno, Baudin, Eric, Haak, Harm, Berruti, Alfredo, Welin, Staffan, Schade-Brittinger, Carmen, Lacroix, André, Jarzab, Barbara, Sorbye, Halfdan, Torpy, David J, Stepan, Vinzenz, Schteingart, David E, Arlt, Wiebke, Kroiss, Matthias, Leboulleux, Sophie, Sperone, Paola, Sundin, Anders, Hermsen, Ilse, Hahner, Stefanie, Willenberg, Holger S, Tabarin, Antoine, Quinkler, Marcus, de la Fouchardière, Christelle, Schlumberger, Martin, Mantero, Franco, Weismann, Dirk, Beuschlein, Felix, Gelderblom, Hans, Wilmink, Hanneke, Sender, Monica, Edgerly, Maureen, Kenn, Werner, Fojo, Tito, Müller, Hans-Helge, Skogseid, Britt

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Clinical Implications of Old and New Genes for Open-Angle Glaucoma von Ramdas, Wishal D., MD, MSc, van Koolwijk, Leonieke M.E., MD, MSc, Cree, Angela J., BSc, Janssens, A. Cecile J.W., PhD, Amin, Najaf, MSc, de Jong, Paulus T.V.M., MD, PhD, Wolfs, Roger C.W., MD, PhD, Gibson, Jane, PhD, Kirwan, James F., FRCOphth, Hofman, Albert, MD, PhD, Rivadeneira, Fernando, MD, PhD, Oostra, Ben A., PhD, Uitterlinden, André G., PhD, Ennis, Sarah, PhD, Lotery, Andrew J., MD, FRCOphth, Lemij, Hans G., MD, PhD, Klaver, Caroline C.W., MD, PhD, Vingerling, Johannes R., MD, PhD, Jansonius, Nomdo M., MD, PhD, van Duijn, Cornelia M., PhD

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Genetic architecture of open angle glaucoma and related determinants von Ramdas, Wishal D, Amin, Najaf, van Koolwijk, Leonieke M E, Janssens, A Cecile J W, Demirkan, Ayse, de Jong, Paulus T V M, Aulchenko, Yurii S, Wolfs, Roger C W, Hofman, Albert, Rivadeneira, Fernando, Uitterlinden, Andre G, Oostra, Ben A, Lemij, Hans G, Klaver, Caroline C W, Vingerling, Johannes R, Jansonius, Nomdo M, van Duijn, Cornelia M

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