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Peter van Ooijen

Showing results (1-10 of 35) with videos related to

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European Radiology|September 18, 2020
Applications of artificial intelligence (AI) in diagnostic radiology: a technography studyMohammad Hosein Rezazade Mehrizi, Peter van Ooijen, Milou Homan
Cancers|August 26, 2022
Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and ClassificationNikos Sourlos, Jingxuan Wang, Yeshaswini Nagaraj, et al.
Journal of Imaging|March 26, 2025
The Effect of Simulated Dose Reduction on the Performance of Artificial Intelligence in Chest RadiographyHendrik Erenstein, Wim P Krijnen, Annemieke van der Heij-Meijer, et al.
Computers in Biology and Medicine|December 28, 2023
Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodulesJingxuan Wang, Nikos Sourlos, Marjolein Heuvelmans, et al.
Insights Into Imaging|June 27, 2025
A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CTJingxuan Wang, Xiaowen Zhang, Wei Tang, et al.
BJR Artificial Intelligence|May 1, 2026
Clinical adoption of deep learning target auto-segmentation for radiation therapy: challenges, clinical risks, and mitigation strategiesAlessia De Biase, Nanna Maria Sijtsema, Tomas Janssen, et al.
Journal of Digital Imaging|March 8, 2011
A situational alignment framework for PACSRogier van de Wetering, Ronald Batenburg, Matthijs Oudkerk, et al.
Cancers|April 23, 2022
Breast Tumor Identification in Ultrafast MRI Using Temporal and Spatial InformationXueping Jing, Monique D Dorrius, Mirjam Wielema, et al.
Insights Into Imaging|October 14, 2024
Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiologyNikos Sourlos, Rozemarijn Vliegenthart, Joao Santinha, et al.
Journal of Digital Imaging|May 5, 2023
Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI ImagesDewinda Julianensi Rumala, Peter van Ooijen, Reza Fuad Rachmadi, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
European Radiology|September 18, 2020
Applications of artificial intelligence (AI) in diagnostic radiology: a technography studyMohammad Hosein Rezazade Mehrizi, Peter van Ooijen, Milou Homan
Cancers|August 26, 2022
Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and ClassificationNikos Sourlos, Jingxuan Wang, Yeshaswini Nagaraj, et al.
Journal of Imaging|March 26, 2025
The Effect of Simulated Dose Reduction on the Performance of Artificial Intelligence in Chest RadiographyHendrik Erenstein, Wim P Krijnen, Annemieke van der Heij-Meijer, et al.
Computers in Biology and Medicine|December 28, 2023
Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodulesJingxuan Wang, Nikos Sourlos, Marjolein Heuvelmans, et al.
Insights Into Imaging|June 27, 2025
A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CTJingxuan Wang, Xiaowen Zhang, Wei Tang, et al.
BJR Artificial Intelligence|May 1, 2026
Clinical adoption of deep learning target auto-segmentation for radiation therapy: challenges, clinical risks, and mitigation strategiesAlessia De Biase, Nanna Maria Sijtsema, Tomas Janssen, et al.
Journal of Digital Imaging|March 8, 2011
A situational alignment framework for PACSRogier van de Wetering, Ronald Batenburg, Matthijs Oudkerk, et al.
Cancers|April 23, 2022
Breast Tumor Identification in Ultrafast MRI Using Temporal and Spatial InformationXueping Jing, Monique D Dorrius, Mirjam Wielema, et al.
Insights Into Imaging|October 14, 2024
Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiologyNikos Sourlos, Rozemarijn Vliegenthart, Joao Santinha, et al.
Journal of Digital Imaging|May 5, 2023
Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI ImagesDewinda Julianensi Rumala, Peter van Ooijen, Reza Fuad Rachmadi, et al.
Pageof 4