المؤلفون: Boukerroui, Djamal, Vasquez Osorio, Eliana, Brunenberg, Ellen, Gooding, Mark J.

المصدر: Boukerroui , D , Vasquez Osorio , E , Brunenberg , E & Gooding , M J 2023 , ' Analytic calculations and synthetic shapes for validation of quantitative contour comparison software ' , Physics and Imaging in Radiation Oncology , vol. 26 , 100436 . https://doi.org/10.1016Test/j.phro.2023.100436

مصطلحات موضوعية: Contouring, Radiotherapy, Synthetic shapes, Validation

الإتاحة: https://doi.org/10.1016Test/j.phro.2023.100436
https://research.manchester.ac.uk/en/publications/f3f642b9-be66-4b1b-89e2-6bb4b7b2f9ceTest
http://www.scopus.com/inward/record.url?scp=85151681879&partnerID=8YFLogxKTest

المؤلفون: McQuinlan, Yasmin, Brouwer, Charlotte L., Lin, Zhixiong, Gan, Yong, Kim, Jin Sung, van Elmpt, Wouter, Gooding, Mark J.

المصدر: McQuinlan , Y , Brouwer , C L , Lin , Z , Gan , Y , Kim , J S , van Elmpt , W & Gooding , M J 2023 , ' An investigation into the risk of population bias in deep learning autocontouring ' , Radiotherapy and Oncology , vol. 186 , 109747 . https://doi.org/10.1016Test/j.radonc.2023.109747

مصطلحات موضوعية: Autocontouring, Bias, Deep learning, Organ-at-Risk, Radiotherapy, Segmentation

وصف الملف: application/pdf

العلاقة: https://research.rug.nl/en/publications/19b55d38-6d84-460d-abe5-c3f760841d6eTest

الإتاحة: https://doi.org/10.1016Test/j.radonc.2023.109747
https://hdl.handle.net/11370/19b55d38-6d84-460d-abe5-c3f760841d6eTest
https://research.rug.nl/en/publications/19b55d38-6d84-460d-abe5-c3f760841d6eTest
https://pure.rug.nl/ws/files/717489463/1-s2.0-S0167814023002852-main.pdfTest

المؤلفون: Claessens, Michael, Vanreusel, Verdi, De Kerf, Geert, Mollaert, Isabelle, Lofman, Fredrik, Gooding, Mark J., Brouwer, Charlotte, Dirix, Piet, Verellen, Dirk

المصدر: Claessens , M , Vanreusel , V , De Kerf , G , Mollaert , I , Lofman , F , Gooding , M J , Brouwer , C , Dirix , P & Verellen , D 2022 , ' Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation algorithm ' , Physics in Medicine and Biology , vol. 67 , no. 11 , 115014 . https://doi.org/10.1088/1361-6560/ac6fadTest

مصطلحات موضوعية: quality assurance, auto-segmentation, artificial intelligence, machine learning, deep learning, time-saving, VOLUME DELINEATION, RADIATION-THERAPY, HEAD

وصف الملف: application/pdf

العلاقة: https://research.rug.nl/en/publications/6c6f599b-ea6b-48c7-a47f-508f67fb1bd6Test

الإتاحة: https://doi.org/10.1088/1361-6560/ac6fadTest
https://hdl.handle.net/11370/6c6f599b-ea6b-48c7-a47f-508f67fb1bd6Test
https://research.rug.nl/en/publications/6c6f599b-ea6b-48c7-a47f-508f67fb1bd6Test
https://pure.rug.nl/ws/files/234430039/Claessens_2022_Phys._Med._Biol._67_115014.pdfTest

المؤلفون: Brunenberg, Ellen J L, Steinseifer, Isabell K, van den Bosch, Sven, Kaanders, Johannes H A M, Brouwer, Charlotte L, Gooding, Mark J, van Elmpt, Wouter, Monshouwer, Rene

المصدر: Brunenberg , E J L , Steinseifer , I K , van den Bosch , S , Kaanders , J H A M , Brouwer , C L , Gooding , M J , van Elmpt , W & Monshouwer , R 2020 , ' External validation of deep learning-based contouring of head and neck organs at risk ' , Physics & Imaging in Radiation Oncology , vol. 15 , pp. 8-15 . https://doi.org/10.1016Test/j.phro.2020.06.006

مصطلحات موضوعية: Deep learning, Auto-contouring, Contour comparison, Head & neck cancer, SEGMENTATION, DELINEATION, CT, RADIOTHERAPY, VOLUME, ATLAS

الإتاحة: https://doi.org/10.1016Test/j.phro.2020.06.006
https://cris.maastrichtuniversity.nl/en/publications/a21832c9-966f-434e-bf78-1e3ffd8101c2Test

المؤلفون: Brunenberg, Ellen, Steinseifer, Isabell, van den Bosch, Sven, Kaanders, Johannes, Brouwer, Charlotte, Gooding, Mark J, van Elmpt, Wouter, Monshouwer, Rene

المصدر: Brunenberg , E , Steinseifer , I , van den Bosch , S , Kaanders , J , Brouwer , C , Gooding , M J , van Elmpt , W & Monshouwer , R 2020 , ' External validation of deep learning-based contouring of head and neck organs at risk ' , Physics and Imaging in Radiation Oncology , vol. 15 , pp. 8-15 . https://doi.org/10.1016Test/j.phro.2020.06.006

وصف الملف: application/pdf

العلاقة: https://research.rug.nl/en/publications/e224655a-ff37-4566-9d4f-71c6ed617556Test

الإتاحة: https://doi.org/10.1016Test/j.phro.2020.06.006
https://hdl.handle.net/11370/e224655a-ff37-4566-9d4f-71c6ed617556Test
https://research.rug.nl/en/publications/e224655a-ff37-4566-9d4f-71c6ed617556Test
https://pure.rug.nl/ws/files/145732235/External_validation_of_deep_learning_based_contouring_of_head_and_neckorgans_at_risk.pdfTest

المؤلفون: Brouwer, Charlotte, Boukerroui, Djamal, Oliveira, Jorge, Looney, Padraig, Steenbakkers, Roel, Langendijk, J.A., Both, Stefan, Gooding, Mark J

المصدر: Brouwer , C , Boukerroui , D , Oliveira , J , Looney , P , Steenbakkers , R , Langendijk , J A , Both , S & Gooding , M J 2020 , ' Assessment of manual adjustment performed in clinical practice following deep learning contouring for head and neck organs at risk in radiotherapy ' , Physics and Imaging in Radiation Oncology , vol. 16 , pp. 54-60 . https://doi.org/10.1016Test/j.phro.2020.10.001

مصطلحات موضوعية: Automatic Segmentation, Auto-contouring, Deep learning, Contour adjustment, Head and neck organs at risk, Radiotherapy

وصف الملف: application/pdf

العلاقة: https://research.rug.nl/en/publications/ddd30dec-a019-4a3b-836e-bc2a45e96f65Test

الإتاحة: https://doi.org/10.1016Test/j.phro.2020.10.001
https://hdl.handle.net/11370/ddd30dec-a019-4a3b-836e-bc2a45e96f65Test
https://research.rug.nl/en/publications/ddd30dec-a019-4a3b-836e-bc2a45e96f65Test
https://pure.rug.nl/ws/files/145587969/Assessment_of_manual_adjustment_performed_in_clinical_practice_following.pdfTest

المؤلفون: van Dijk, Lisanne V, Van den Bosch, Lisa, Aljabar, Paul, Peressutti, Devis, Both, Stefan, J H M Steenbakkers, Roel, Langendijk, Johannes A, Gooding, Mark J, Brouwer, Charlotte L

المصدر: van Dijk , L V , Van den Bosch , L , Aljabar , P , Peressutti , D , Both , S , J H M Steenbakkers , R , Langendijk , J A , Gooding , M J & Brouwer , C L 2020 , ' Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring ' , Radiotherapy and Oncology , vol. 142 , pp. 115-123 . https://doi.org/10.1016Test/j.radonc.2019.09.022

وصف الملف: application/pdf

العلاقة: https://research.rug.nl/en/publications/c1929e97-d00b-47f8-83b2-22920c61a3e3Test

الإتاحة: https://doi.org/10.1016Test/j.radonc.2019.09.022
https://hdl.handle.net/11370/c1929e97-d00b-47f8-83b2-22920c61a3e3Test
https://research.rug.nl/en/publications/c1929e97-d00b-47f8-83b2-22920c61a3e3Test
https://pure.rug.nl/ws/files/119062019/PIIS0167814019331111.pdfTest

المؤلفون: Schipaanboord, Bas, Boukerroui, Djamal, Peressutti, Devis, van Soest, Johan, Lustberg, Tim, Dekker, Andre, van Elmpt, Wouter, Gooding, Mark J.

المصدر: Schipaanboord , B , Boukerroui , D , Peressutti , D , van Soest , J , Lustberg , T , Dekker , A , van Elmpt , W & Gooding , M J 2019 , ' An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning ' , Ieee Transactions on Medical Imaging , vol. 38 , no. 11 , pp. 2654-2664 . https://doi.org/10.1109/TMI.2019.2907072Test

مصطلحات موضوعية: Image segmentation, Computed tomography, Planning, Databases, Neck, Strain, Measurement, Multi-atlas segmentation, atlas selection, radiotherapy, AUTO-SEGMENTATION, LABEL FUSION, REGISTRATION, PROSTATE, CT, COMBINATION, VALIDATION, STRATEGIES, VOLUMES

الإتاحة: https://doi.org/10.1109/TMI.2019.2907072Test
https://cris.maastrichtuniversity.nl/en/publications/c10d7eda-1388-4a31-9f68-38e1188f35f8Test

المؤلفون: Gooding, Mark J., Smith, Annamarie J., Tariq, Maira, Aljabar, Paul, Peressutti, Devis, van der Stoep, Judith, Reymen, Bart, Emans, Daisy, Hattu, Djoya, van Loon, Judith, de Rooy, Maud, Wanders, Rinus, Peeters, Stephanie, Lustberg, Tim, van Soest, Johan, Dekker, Andre, van Elmpt, Wouter

المصدر: Gooding , M J , Smith , A J , Tariq , M , Aljabar , P , Peressutti , D , van der Stoep , J , Reymen , B , Emans , D , Hattu , D , van Loon , J , de Rooy , M , Wanders , R , Peeters , S , Lustberg , T , van Soest , J , Dekker , A & van Elmpt , W 2018 , ' Comparative evaluation of autocontouring in clinical practice : A practical method using the Turing test ' , Medical Physics , vol. ....

مصطلحات موضوعية: assessment, autocontouring, editing time, organs-at-risk, Turing test, SEGMENTATION SOFTWARE, ATLAS

وصف الملف: application/pdf

الإتاحة: https://doi.org/10.1002/mp.13200Test
https://cris.maastrichtuniversity.nl/en/publications/c4729983-ab7c-492e-b13f-49dcd4b65a5aTest
https://cris.maastrichtuniversity.nl/ws/files/74764312/Dekker_2018_Comparative_evaluation_of_autocontouring_in_clinical_practice.pdfTest

المؤلفون: Gooding, Mark J, Boukerroui, Djamal, Vasquez Osorio, Eliana, Monshouwer, René, Brunenberg, Ellen

المصدر: Gooding , M J , Boukerroui , D , Vasquez Osorio , E , Monshouwer , R & Brunenberg , E 2022 , ' Multicenter comparison of measures for quantitative evaluation of contouring in radiotherapy ' , Physics and Imaging in Radiation Oncology , vol. 24 , pp. 152-158 . https://doi.org/10.1016Test/j.phro.2022.11.009

العلاقة: https://research.manchester.ac.uk/en/publications/15dfa1d6-144c-486f-96f8-990f69c7aa6dTest

الإتاحة: https://doi.org/10.1016Test/j.phro.2022.11.009
https://research.manchester.ac.uk/en/publications/15dfa1d6-144c-486f-96f8-990f69c7aa6dTest