Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sanne G M van Velzen"'
Autor:
Ivana Išgum, Sofie A M Gernaat, Helena M Verkooijen, Arco J Teske, Marleen J Emaus, Sanne G M van Velzen, H J G Desirée van den Bongard, Nikolas Lessmann, Margriet G A Sattler, Joan Penninkhof, Hanneke Meijer, Jean-Philippe Pignol, R M Bijlsma, E L A blezer, M L Bots, H J Bretveld, M J Hooning, L Incrocci, P A De jong, T Leiner, J J Van tol-geerdink, I Vaartjes, W B Veldhuis, J Verloop, M A Viergever, F L J visseren, H Wessels
Publikováno v:
BMJ Open, Vol 9, Iss 7 (2019)
Introduction Cardiovascular disease (CVD) is an important cause of death in breast cancer survivors. Some breast cancer treatments including anthracyclines, trastuzumab and radiotherapy can increase the risk of CVD, especially for patients with pre-e
Externí odkaz:
https://doaj.org/article/4bd154f0143140679e33f490d37d9782
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
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
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
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
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
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
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
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
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
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
Publikováno v:
Artificial Intelligence in Cardiothoracic Imaging ISBN: 9783030920869
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2c8982fb9cd30d4c6dafb7706accd4c
https://doi.org/10.1007/978-3-030-92087-6_24
https://doi.org/10.1007/978-3-030-92087-6_24
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
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
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
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
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