Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Sanne G M van Velzen"'
1
Akademický článek
Deep learning-based detection of functionally significant stenosis in coronary CT angiography
Autor: Nils Hampe, Sanne G. M. van Velzen, R. Nils Planken, José P. S. Henriques, Carlos Collet, Jean-Paul Aben, Michiel Voskuil, Tim Leiner, Ivana Išgum
Publikováno v: Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Patients with intermediate anatomical degree of coronary artery stenosis require determination of its functional significance. Currently, the reference standard for determining the functional significance of a stenosis is invasive measurement of the
Externí odkaz: https://doaj.org/article/37a5c9d4045d4e83a0a6f428143258e0
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2
Akademický článek
Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation
Autor: Zhiwei Zhai, Sanne G. M. van Velzen, Nikolas Lessmann, Nils Planken, Tim Leiner, Ivana Išgum
Publikováno v: Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Deep learning methods have demonstrated the ability to perform accurate coronary artery calcium (CAC) scoring. However, these methods require large and representative training data hampering applicability to diverse CT scans showing the heart and the
Externí odkaz: https://doaj.org/article/6d9d6ee52e8a406aab94b4db190f54eb
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3
Akademický článek
Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey
Autor: Nils Hampe, Jelmer M. Wolterink, Sanne G. M. van Velzen, Tim Leiner, Ivana Išgum
Publikováno v: Frontiers in Cardiovascular Medicine, Vol 6 (2019)
Cardiac computed tomography (CT) allows rapid visualization of the heart and coronary arteries with high spatial resolution. However, analysis of cardiac CT scans for manifestation of coronary artery disease is time-consuming and challenging. Machine
Externí odkaz: https://doaj.org/article/6699c902f1214dee9e1595f2713e7e19
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5
AI-Based Radiation Dose Quantification for Estimation of Heart Disease Risk in Breast Cancer Survivors After Radiation Therapy
Autor: Femke van der Leij, Helena M. Verkooijen, Roxanne Gal, Sanne G. M. van Velzen, Max A. Viergever, Arco J. Teske, Ivana Išgum, Desirée H.J.G. van den Bongard
Publikováno v: International Journal of Radiation Oncology Biology Physics, 112(3), 621-632. Elsevier Inc.
International Journal of Radiation Oncology Biology Physics, 112(3), 621-632. Elsevier
Purpose: To investigate whether the dose planned for cardiac structures is associated with the risk of heart disease (HD) in patients with breast cancer treated with radiation therapy, and whether this association is modified by the presence of coron
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ba4b514d12ddf20767709cf2bb8c05a
https://doi.org/10.1016/j.ijrobp.2021.09.008
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6
AI-Based Quantification of Planned Radiation Therapy Dose to Cardiac Structures and Coronary Arteries in Patients With Breast Cancer
Autor: Max A. Viergever, Steffen Bruns, Jelmer M. Wolterink, Helena M. Verkooijen, Tim Leiner, Sanne G. M. van Velzen, Ivana Išgum
Publikováno v: International Journal of Radiation Oncology Biology Physics, 112(3), 611-620. Elsevier Inc.
International Journal of Radiation Oncology Biology Physics, 112(3), 611-620. Elsevier
International journal of radiation: Oncology-Biology-Physics, 112(3), 611-620. Elsevier
Purpose: The purpose of this work is to develop and evaluate an automatic deep learning method for segmentation of cardiac chambers and large arteries, and localization of the 3 main coronary arteries in radiation therapy planning on computed tomogra
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d4b7785fe1f8fa6dd6a2210bb879c62
https://dare.uva.nl/personal/pure/en/publications/aibased-quantification-of-planned-radiation-therapy-dose-to-cardiac-structures-and-coronary-arteries-in-patients-with-breast-cancer(d63f289f-6664-4afe-b712-9aebed80a9eb).html
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7
Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients with Breast Cancer
Autor: Pim A. de Jong, Roxanne Gal, Ilonca Vaartjes, Femke van der Leij, Julia J. van Tol-Geerdink, Desirée H.J.G. van den Bongard, Sanne G. M. van Velzen, Erwin L. A. Blezer, M.L. Gregorowitsch, Arco J. Teske, M.G.A. Sattler, Tim Leiner, Sofie A. M. Gernaat, Jean-Philippe Pignol, Maartje J. Hooning, Nikolas Lessmann, J. Penninkhof, Ivana Išgum, Marleen J. Emaus, J. Verloop, Helena M. Verkooijen, H. Meijer
Publikováno v: JAMA Oncology, 7(7), 1024-1032. American Medical Association
JAMA Oncol
Jama Oncology, 7, 7, pp. 1024-1032
Jama Oncology, 7, 1024-1032
JAMA oncology, 7(7), 1024-1032. American Medical Association
Contains fulltext : 235298.pdf (Publisher’s version ) (Open Access) Importance: Cardiovascular disease (CVD) is common in patients treated for breast cancer, especially in patients treated with systemic treatment and radiotherapy and in those with
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4c12abc696299924312684ebd7e9fd3
http://www.scopus.com/inward/record.url?scp=85105858822&partnerID=8YFLogxK
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9
Coronary artery calcifications on breast cancer radiotherapy planning CT scans and cardiovascular risk
Autor: M.L. Gregorowitsch, Helena M. Verkooijen, Julia J. van Tol-Geerdink, Roxanne Gal, Sanne G. M. van Velzen, Femke van der Leij, Marleen J. Emaus, Erwin L. A. Blezer, Ivana Išgum
Publikováno v: International journal of cardiology. Cardiovascular risk and prevention, 11:200113. Elsevier
International Journal of Cardiology. Cardiovascular Risk and Prevention, 11
International Journal of Cardiology. Cardiovascular Risk and Prevention
International Journal of Cardiology. Cardiovascular Risk and Prevention, Vol 11, Iss, Pp 200113-(2021)
International Journal of Cardiology: Cardiovascular Risk and Prevention, 11:200113. Elsevier BV
Contains fulltext : 245666.pdf (Publisher’s version ) (Open Access) Background: Coronary artery calcifications (CAC) is a strong predictor of cardiovascular disease (CVD), which can be automatically quantified on routine breast radiotherapy plannin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1718e039c08ccf89305a512bac65eeb
http://www.scopus.com/inward/record.url?scp=85118870566&partnerID=8YFLogxK
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10
Deep learning for automatic calcium scoring in CT: Validation using multiple cardiac CT and chest CT protocols
Autor: Helena M. Verkooijen, Pim de Jong, B. K. Velthuis, Ivana Išgum, Ingrid E.M. Bank, James G. Terry, J. Jeffrey Carr, Tim Leiner, Adolfo Correa, Wouter B. Veldhuis, Max A. Viergever, Sanne G M van Velzen, Nikolas Lessmann, Desirée H.J.G. van den Bongard
Publikováno v: Radiology, 295(1), 66-79. Radiological Society of North America Inc.
Radiology, 295, 66-79
Radiology, 295, 1, pp. 66-79
Radiology
BACKGROUND: Although several deep learning (DL) calcium scoring methods have achieved excellent performance for specific CT protocols, their performance in a range of CT examination types is unknown. PURPOSE: To evaluate the performance of a DL metho
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1314a46265f3f1adf3082b27cfac97
https://pure.amc.nl/en/publications/deep-learning-for-automatic-calcium-scoring-in-ct-validation-using-multiple-cardiac-ct-and-chest-ct-protocols(f04607ce-948c-4476-92a0-8d106fcbabe6).html
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