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Rozemarijn Vliegenthart
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2020 – today
- 2024
- [j5]Jingxuan Wang, Nikos Sourlos, Marjolein Heuvelmans, Mathias Prokop, Rozemarijn Vliegenthart, Peter M. A. van Ooijen:
Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules. Comput. Biol. Medicine 169: 107871 (2024) - 2022
- [j4]Yeshaswini Nagaraj, Hendrik Joost Wisselink, Mieneke Rook, Jiali Cai, Sunil Belur Nagaraj, Grigory Sidorenkov, Raymond N. J. Veldhuis, Matthijs Oudkerk, Rozemarijn Vliegenthart, Peter M. A. van Ooijen:
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation. J. Digit. Imaging 35(3): 538-550 (2022) - [j3]L. B. van den Oever, D. S. Spoor, A. P. G. Crijns, Rozemarijn Vliegenthart, Matthijs Oudkerk, Raymond N. J. Veldhuis, Geertruida H. de Bock, Peter M. A. van Ooijen:
Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models. J. Medical Syst. 46(5): 22 (2022) - 2020
- [j2]Sunyi Zheng, Xiaonan Cui, Marleen Vonder, Raymond N. J. Veldhuis, Zhaoxiang Ye, Rozemarijn Vliegenthart, Matthijs Oudkerk, Peter M. A. van Ooijen:
Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage. Comput. Methods Programs Biomed. 196: 105620 (2020) - [j1]Jordy K. van Zandwijk, Volkan Tuncay, Rozemarijn Vliegenthart, Gert Jan Pelgrim, Cornelis H. Slump, Matthijs Oudkerk, Peter M. A. van Ooijen:
Assessment of Dynamic Change of Coronary Artery Geometry and Its Relationship to Coronary Artery Disease, Based on Coronary CT Angiography. J. Digit. Imaging 33(2): 480-489 (2020)
2010 – 2019
- 2015
- [c1]Bob D. de Vos, Pim A. de Jong, Jelmer M. Wolterink, Rozemarijn Vliegenthart, Geoffrey V. F. Wielingen, Max A. Viergever, Ivana Isgum:
Automatic machine learning based prediction of cardiovascular events in lung cancer screening data. Computer-Aided Diagnosis 2015: 94140D
Coauthor Index
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last updated on 2024-11-28 20:34 CET by the dblp team
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