Zobrazeno 1 - 5 of 5 pro vyhledávání: '"Hester Gietema"'
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Akademický článek
Generation of synthetic ground glass nodules using generative adversarial networks (GANs)
Autor: Zhixiang Wang, Zhen Zhang, Ying Feng, Lizza E. L. Hendriks, Razvan L. Miclea, Hester Gietema, Janna Schoenmaekers, Andre Dekker, Leonard Wee, Alberto Traverso
Publikováno v: European Radiology Experimental, Vol 6, Iss 1, Pp 1-12 (2022)
Abstract Background Data shortage is a common challenge in developing computer-aided diagnosis systems. We developed a generative adversarial network (GAN) model to generate synthetic lung lesions mimicking ground glass nodules (GGNs). Methods We use
Externí odkaz: https://doaj.org/article/e0cf50d997d54f8c81e2bb374ed74cf4
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2
Akademický článek
Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning
Autor: Turkey Refaee, Zohaib Salahuddin, Anne-Noelle Frix, Chenggong Yan, Guangyao Wu, Henry C. Woodruff, Hester Gietema, Paul Meunier, Renaud Louis, Julien Guiot, Philippe Lambin
Publikováno v: Frontiers in Medicine, Vol 9 (2022)
PurposeTo develop handcrafted radiomics (HCR) and deep learning (DL) based automated diagnostic tools that can differentiate between idiopathic pulmonary fibrosis (IPF) and non-IPF interstitial lung diseases (ILDs) in patients using high-resolution c
Externí odkaz: https://doaj.org/article/abc44a2c85a042fe84e6f61dc79057fa
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3
Akademický článek
Reproducibility of Volumetric Computed Tomography of Stable Small Pulmonary Nodules with Implications on Estimated Growth Rate and Optimal Scan Interval.
Autor: Gary T Smith, Ahmad R Rahman, Ming Li, Brandon Moore, Hester Gietema, Giulia Veronesi, Pierre P Massion, Ronald C Walker
Publikováno v: PLoS ONE, Vol 10, Iss 9, p e0138144 (2015)
To use clinically measured reproducibility of volumetric CT (vCT) of lung nodules to estimate error in nodule growth rate in order to determine optimal scan interval for patient follow-up.We performed quantitative vCT on 89 stable non-calcified nodul
Externí odkaz: https://doaj.org/article/4908ea2a7eb049c18a919b45958364fd
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4
Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors
Autor: Fariba Tohidinezhad, Dennis Bontempi, Zhen Zhang, Anne-Marie Dingemans, Joachim Aerts, Gerben Bootsma, Johan Vansteenkiste, Sayed Hashemi, Egbert Smit, Hester Gietema, Hugo JWL. Aerts, Andre Dekker, Lizza E.L. Hendriks, Alberto Traverso, Dirk De Ruysscher
Publikováno v: European Journal of Cancer, 183, 142-151. Elsevier Ltd.
European Journal of Cancer, 183, 142-151. ELSEVIER SCI LTD
Tohidinezhad, F, Bontempi, D, Zhang, Z, Dingemans, A-M, Aerts, J, Bootsma, G, Vansteenkiste, J, Hashemi, S, Smit, E, Gietema, H, Aerts, H J WL, Dekker, A, Hendriks, L E L, Traverso, A & de Ruysscher, D 2023, ' Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors ', European Journal of Cancer, vol. 183, pp. 142-151 . https://doi.org/10.1016/j.ejca.2023.01.027
European Journal of Cancer, 183, 142-151. Pergamon
Introduction: Immunotherapy-induced pneumonitis (IIP) is a serious side-effect which requires accurate diagnosis and management with high-dose corticosteroids. The differ-ential diagnosis between IIP and other types of pneumonitis (OTP) remains chall
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4323d7bfdd7d4fc3c08583aaf0494b2
https://pure.eur.nl/en/publications/18c8f75f-c320-414f-920e-fb54ae6bd1aa
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