نتائج البحث - "Anna M. Dinkla"

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دورية أكاديمية

Machine learning applications in radiation oncology: Current use and needs to support clinical implementation

المؤلفون: Charlotte L. Brouwer, Anna M. Dinkla, Liesbeth Vandewinckele, Wouter Crijns, Michaël Claessens, Dirk Verellen, Wouter van Elmpt

المصدر: Physics and Imaging in Radiation Oncology, Vol 16, Iss , Pp 144-148 (2020)

مصطلحات موضوعية: Artificial intelligence, Machine learning, Radiotherapy, Survey, Commissioning, Quality assurance, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405631620300737; https://doaj.org/toc/2405-6316

URL الوصول: https://doaj.org/article/ba2efcb06da8443282e1153bf2fcf26b

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Machine learning applications in radiation oncology: Current use and needs to support clinical implementation

المؤلفون: Michaël Claessens, Wouter Crijns, Wouter van Elmpt, Dirk Verellen, Charlotte L. Brouwer, Anna M. Dinkla, Liesbeth Vandewinckele

المساهمون: Radiotherapie, RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, Radiation Oncology

المصدر: Physics & Imaging in Radiation Oncology, 16, 144-148. Elsevier Ireland Ltd
Physics and Imaging in Radiation Oncology
Brouwer, C L, Dinkla, A M, Vandewinckele, L, Crijns, W, Claessens, M, Verellen, D & van Elmpt, W 2020, ' Machine learning applications in radiation oncology : Current use and needs to support clinical implementation ', Physics and Imaging in Radiation Oncology, vol. 16, pp. 144-148 . https://doi.org/10.1016/j.phro.2020.11.002
Physics and Imaging in Radiation Oncology, Vol 16, Iss, Pp 144-148 (2020)
Physics and Imaging in Radiation Oncology, 16, 144-148. Elsevier Ireland Ltd
Physics and Imaging in Radiation Oncology, 16, 144-148. Elsevier

مصطلحات موضوعية: lcsh:Medical physics. Medical radiology. Nuclear medicine, Artificial intelligence, Project commissioning, Computer science, lcsh:R895-920, Machine learning, computer.software_genre, lcsh:RC254-282, 030218 nuclear medicine & medical imaging, Medical physicist, 03 medical and health sciences, 0302 clinical medicine, Radiation oncology, Radiology, Nuclear Medicine and imaging, Commissioning, Original Research Article, Radiation treatment planning, Survey, Clinical implementation, PHYSICISTS, Computer. Automation, Radiation, Radiotherapy, business.industry, ARTIFICIAL-INTELLIGENCE, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Quality assurance, Data sharing, 030220 oncology & carcinogenesis, General Data Protection Regulation, Applications of artificial intelligence, Human medicine, business, computer

وصف الملف: Electronic-eCollection; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bcec3ef918b5cdf6843529193ea99f9
https://cris.maastrichtuniversity.nl/en/publications/5732e1e1-c402-4b40-afc1-e8055a1393c6

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Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network

المؤلفون: Mateusz C. Florkow, Peter R. Seevinck, Frank Zijlstra, Matteo Maspero, Marielle E.P. Philippens, Mark H. F. Savenije, Marijn van Stralen, Anna M. Dinkla, Cornelis A. T. van den Berg, Patricia Doornaert

المساهمون: Academic Medical Center

المصدر: Medical Physics, 46(9), 4095. AAPM-American Association of Physicists in Medicine
Medical physics, 46(9), 4095-4104. AAPM-American Association of Physicists in Medicine

مصطلحات موضوعية: medicine.medical_treatment, Biophysics, Convolutional neural network, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Head and neck radiotherapy, Treatment plan, Hounsfield scale, Image Processing, Computer-Assisted, medicine, Journal Article, Humans, Radiometry, Head and neck, medicine.diagnostic_test, Radiotherapy, business.industry, Radiotherapy Planning, Computer-Assisted, Head and neck cancer, deep learning, Radiotherapy Dosage, Magnetic resonance imaging, General Medicine, medicine.disease, Magnetic Resonance Imaging, Radiation therapy, MR-only radiotherapy, Head and Neck Neoplasms, Radiology Nuclear Medicine and imaging, 030220 oncology & carcinogenesis, synthetic CT, head and neck cancer, Neural Networks, Computer, Radiotherapy, Intensity-Modulated, Tomography, X-Ray Computed, Nuclear medicine, business, MR-guided therapy, MRI

وصف الملف: image/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6085592fbadc979bb3c627bbf87c9866
https://dspace.library.uu.nl/handle/1874/387575

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Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy

المؤلفون: Linda G W Kerkmeijer, Peter R. Seevinck, Matteo Maspero, Mark H. F. Savenije, Martijn Intven, Cornelis A. T. van den Berg, Anna M. Dinkla, Ina M. Jürgenliemk-Schulz

المصدر: Physics in Medicine and Biology, 63(18), 185001. IOP Publishing Ltd.

مصطلحات موضوعية: Male, Computer science, medicine.medical_treatment, Radiotherapy Planning, Tomography, X-Ray Computed/methods, Uterine Cervical Neoplasms, Radiotherapy, Image-Guided/methods, computer.software_genre, pseudo-CT, 030218 nuclear medicine & medical imaging, Magnetic Resonance Imaging/methods, Prostate cancer, 0302 clinical medicine, Voxel, Prostate, Computer-Assisted/methods, Non-U.S. Gov't, Tomography, MR-only Radiotherapy, medicine.diagnostic_test, Radiological and Ultrasound Technology, Research Support, Non-U.S. Gov't, Intensity-Modulated/methods, dose calculations, Radiotherapy Dosage, X-Ray Computed/methods, medicine.anatomical_structure, Radiology Nuclear Medicine and imaging, 030220 oncology & carcinogenesis, Female, MRI, CT, neural network, medical imaging, FOS: Physical sciences, Research Support, Pelvis/diagnostic imaging, Pelvis, 03 medical and health sciences, pseudo CT, Magnetic resonance imaging, Histogram, medicine, Journal Article, cancer, Humans, Radiology, Nuclear Medicine and imaging, External beam radiotherapy, Radiotherapy Planning, Computer-Assisted/methods, Radiotherapy, business.industry, Radiotherapy Planning, Computer-Assisted, Image-Guided/methods, generative adversarial network, Prostatic Neoplasms, Deep learning, Radiotherapy, Intensity-Modulated/methods, medicine.disease, Physics - Medical Physics, Prostatic Neoplasms/radiotherapy, Radiation therapy, Uterine Cervical Neoplasms/radiotherapy, Medical Physics (physics.med-ph), Radiotherapy, Intensity-Modulated, Nuclear medicine, business, Tomography, X-Ray Computed, computer, Radiotherapy, Image-Guided

وصف الملف: image/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77080e3166b0d1c7bfecf851e7884602
https://dspace.library.uu.nl/handle/1874/371698

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MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network

المؤلفون: Anna M. Dinkla, Ivana Išgum, Mark H. F. Savenije, Enrica Seravalli, Jelmer M. Wolterink, Matteo Maspero, Joost J.C. Verhoeff, Cornelis A. T. van den Berg, Peter R. Seevinck

المصدر: International Journal of Radiation Oncology Biology Physics, 102(4), 801. Elsevier Inc.

مصطلحات موضوعية: Cancer Research, medicine.medical_treatment, Planning target volume, Convolutional neural network, Standard deviation, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Brain radiation, 0302 clinical medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Radiation treatment planning, Retrospective Studies, Radiation, medicine.diagnostic_test, business.industry, Brain Neoplasms, Radiotherapy Planning, Computer-Assisted, Magnetic resonance imaging, Radiotherapy Dosage, Magnetic Resonance Imaging, Radiation therapy, Oncology, Radiology Nuclear Medicine and imaging, 030220 oncology & carcinogenesis, Tomography, Neural Networks, Computer, business, Nuclear medicine, Tomography, X-Ray Computed

وصف الملف: image/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bfa83a4dc39cc0fb866d6cb4dbf0a9e
https://pubmed.ncbi.nlm.nih.gov/30108005

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A comparison of inverse optimization algorithms for HDR/PDR prostate brachytherapy treatment planning

المؤلفون: Kees Koedooder, Rob van der Laarse, Emmie Kaljouw, Niek van Wieringen, Bradley R. Pieters, Anna M. Dinkla, Arjan Bel

المساهمون: VU University medical center, Other departments, Radiotherapy, CCA -Cancer Center Amsterdam

المصدر: Dinkla, A M, van der Laarse, R, Kaljouw, E, Pieters, B R, Koedooder, K, van Wieringen, N & Bel, A 2015, ' A comparison of inverse optimization algorithms for HDR/PDR prostate brachytherapy treatment planning ', Brachytherapy, vol. 14, no. 2, pp. 279-288 . https://doi.org/10.1016/j.brachy.2014.09.006
Brachytherapy, 14(2), 279-288. Elsevier Inc.