Hasil Pencarian - Wouter Van Elmpt

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  1. 1
    Current and future developments of synthetic computed tomography generation for radiotherapy

    Current and future developments of synthetic computed tomography generation for radiotherapy oleh Wouter van Elmpt, Vicki Trier Taasti, Kathrine Røe Redalen

    Diterbitkan 2023-10-01
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  2. 2
    Automatic selection of lung cancer patients for adaptive radiotherapy using cone-beam CT imaging

    Automatic selection of lung cancer patients for adaptive radiotherapy using cone-beam CT imaging oleh Michiel van den Bosch, Michel Öllers, Bart Reymen, Wouter van Elmpt

    Diterbitkan 2017-01-01
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  3. 3
    Prevalence of software alerts in radiotherapy

    Prevalence of software alerts in radiotherapy oleh Petra Reijnders-Thijssen, Diana Geerts, Wouter van Elmpt, Todd Pawlicki, Andrew Wallis, Mary Coffey

    Diterbitkan 2020-06-01
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  4. 4
    Clinical evaluation of a novel CT image reconstruction algorithm for direct dose calculations

    Clinical evaluation of a novel CT image reconstruction algorithm for direct dose calculations oleh Brent van der Heyden, Michel Ãllers, André Ritter, Frank Verhaegen, Wouter van Elmpt

    Diterbitkan 2017-03-01
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  5. 5
    Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

    Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics oleh Bao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, Kristian Hovde Liland, Ingerid Skjei Knudtsen, Ingerid Skjei Knudtsen, Frank Hoebers, Frank Hoebers, Wouter van Elmpt, Wouter van Elmpt, Eirik Malinen, Eirik Malinen, Einar Dale, Cecilia Marie Futsaether

    Diterbitkan 2024-05-01
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  6. 6
    Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

    Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics oleh Bao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, Kristian Hovde Liland, Ingerid Skjei Knudtsen, Ingerid Skjei Knudtsen, Frank Hoebers, Frank Hoebers, Wouter van Elmpt, Wouter van Elmpt, Eirik Malinen, Eirik Malinen, Einar Dale, Cecilia Marie Futsaether

    Diterbitkan 2023-08-01
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  7. 7
    Evaluation of a cone-beam computed tomography system calibrated for accurate radiotherapy dose calculation

    Evaluation of a cone-beam computed tomography system calibrated for accurate radiotherapy dose calculation oleh Marta Bogowicz, Didier Lustermans, Vicki Trier Taasti, Colien Hazelaar, Frank Verhaegen, Gabriel Paiva Fonseca, Wouter van Elmpt

    Diterbitkan 2024-01-01
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  8. 8
    Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy

    Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy oleh Femke Vaassen, Colien Hazelaar, Ana Vaniqui, Mark Gooding, Brent van der Heyden, Richard Canters, Wouter van Elmpt

    Diterbitkan 2020-01-01
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  9. 9
    Machine learning applications in radiation oncology: Current use and needs to support clinical implementation

    Machine learning applications in radiation oncology: Current use and needs to support clinical implementation oleh Charlotte L. Brouwer, Anna M. Dinkla, Liesbeth Vandewinckele, Wouter Crijns, Michaël Claessens, Dirk Verellen, Wouter van Elmpt

    Diterbitkan 2020-10-01
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  10. 10
    Treatment plan quality assessment for radiotherapy of rectal cancer patients using prediction of organ-at-risk dose metrics

    Treatment plan quality assessment for radiotherapy of rectal cancer patients using prediction of organ-at-risk dose metrics oleh Ana Vaniqui, Richard Canters, Femke Vaassen, Colien Hazelaar, Indra Lubken, Kirsten Kremer, Cecile Wolfs, Wouter van Elmpt

    Diterbitkan 2020-10-01
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  11. 11
    Clinical implementation and validation of an automated adaptive workflow for proton therapy

    Clinical implementation and validation of an automated adaptive workflow for proton therapy oleh Vicki Trier Taasti, Colien Hazelaar, Femke Vaassen, Ana Vaniqui, Karolien Verhoeven, Frank Hoebers, Wouter van Elmpt, Richard Canters, Mirko Unipan

    Diterbitkan 2022-10-01
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  12. 12
    Positron emission tomography guided dose painting by numbers of lung cancer: Alanine dosimetry in an anthropomorphic phantom

    Positron emission tomography guided dose painting by numbers of lung cancer: Alanine dosimetry in an anthropomorphic phantom oleh Iosif Papoutsis, Ingerid Skjei Knudtsen, Erlend Peter Skaug Sande, Bernt Louni Rekstad, Michel Öllers, Wouter van Elmpt, Marius Røthe Arnesen, Eirik Malinen

    Diterbitkan 2022-01-01
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  13. 13
    Real-world analysis of manual editing of deep learning contouring in the thorax region

    Real-world analysis of manual editing of deep learning contouring in the thorax region oleh Femke Vaassen, Djamal Boukerroui, Padraig Looney, Richard Canters, Karolien Verhoeven, Stephanie Peeters, Indra Lubken, Jolein Mannens, Mark J. Gooding, Wouter van Elmpt

    Diterbitkan 2022-04-01
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  14. 14
    Prediction Models for Radiation-Induced Neurocognitive Decline in Adult Patients With Primary or Secondary Brain Tumors: A Systematic Review

    Prediction Models for Radiation-Induced Neurocognitive Decline in Adult Patients With Primary or Secondary Brain Tumors: A Systematic Review oleh Fariba Tohidinezhad, Dario Di Perri, Catharina M. L. Zegers, Jeanette Dijkstra, Monique Anten, Andre Dekker, Wouter Van Elmpt, Daniëlle B. P. Eekers, Alberto Traverso

    Diterbitkan 2022-03-01
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  15. 15
    External validation of deep learning-based contouring of head and neck organs at risk

    External validation of deep learning-based contouring of head and neck organs at risk oleh Ellen J.L. Brunenberg, Isabell K. Steinseifer, Sven van den Bosch, Johannes H.A.M. Kaanders, Charlotte L. Brouwer, Mark J. Gooding, Wouter van Elmpt, René Monshouwer

    Diterbitkan 2020-07-01
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  16. 16
    18F-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC) - A prospective externally validated study.

    18F-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC) - A prospective externally... oleh Sara Carvalho, Ralph T H Leijenaar, Esther G C Troost, Janna E van Timmeren, Cary Oberije, Wouter van Elmpt, Lioe-Fee de Geus-Oei, Johan Bussink, Philippe Lambin

    Diterbitkan 2018-01-01
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  17. 17
    Development of explanatory movies for the delineation of new organs at risk in neuro-oncology

    Development of explanatory movies for the delineation of new organs at risk in neuro-oncology oleh Dario Di Perri, David Hofstede, Alida Postma, Catharina M.L. Zegers, Lieke In't Ven, Frank Hoebers, Wouter van Elmpt, Lindsey Verheesen, Hilde Beurskens, Esther G.C. Troost, Inge Compter, Danielle B.P. Eekers

    Diterbitkan 2022-03-01
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  18. 18
    Linear Energy Transfer and Relative Biological Effectiveness Investigation of Various Structures for a Cohort of Proton Patients With Brain Tumors

    Linear Energy Transfer and Relative Biological Effectiveness Investigation of Various Structures for a Cohort of Proton Patients With Brain Tumors oleh Ana Vaniqui, PhD, Femke Vaassen, MSc, Dario Di Perri, PhD, Daniëlle Eekers, PhD, Inge Compter, PhD, Ilaria Rinaldi, PhD, Wouter van Elmpt, PhD, Mirko Unipan, PhD

    Diterbitkan 2023-03-01
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  19. 19
    Learning radiation oncology in Europe: Results of the ESTRO multidisciplinary survey

    Learning radiation oncology in Europe: Results of the ESTRO multidisciplinary survey oleh Jean-Emmanuel Bibault, Pierfrancesco Franco, Gerben R. Borst, Wouter Van Elmpt, Daniela Thorwhart, Maximilian P. Schmid, Kasper M.A. Rouschop, Mateusz Spalek, Laura Mullaney, Kathrine Røe Redalen, Ludwig Dubois, Christine Verfaillie, Jesper Grau Eriksen

    Diterbitkan 2018-02-01
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  20. 20
    Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics.

    Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics. oleh Janna E van Timmeren, Sara Carvalho, Ralph T H Leijenaar, Esther G C Troost, Wouter van Elmpt, Dirk de Ruysscher, Jean-Pierre Muratet, Fabrice Denis, Tanja Schimek-Jasch, Ursula Nestle, Arthur Jochems, Henry C Woodruff, Cary Oberije, Philippe Lambin

    Diterbitkan 2019-01-01
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