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Maureen van Eijnatten

Showing results (11-20 of 23) with videos related to

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Dento Maxillo Facial Radiology|May 9, 2022
A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgeryJordi Minnema, Anne Ernst, Maureen van Eijnatten, et al.
Dento Maxillo Facial Radiology|June 29, 2022
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D modelsMaureen van Eijnatten, Jan Wolff, Ruben Pauwels, et al.
Injury|October 10, 2017
3D assessment of damaged bicycle helmets and corresponding craniomaxillo-mandibular skull injuries: A feasibility studyGustaaf J C van Baar, Muhammad Ruslin, Maureen van Eijnatten, et al.
Medical Physics|November 2, 2017
Using 3D printing techniques to create an anthropomorphic thorax phantom for medical imaging purposesColien Hazelaar, Maureen van Eijnatten, Max Dahele, et al.
Dento Maxillo Facial Radiology|May 4, 2017
Reliability and accuracy of three imaging software packages used for 3D analysis of the upper airway on cone beam computed tomography imagesHui Chen, Maureen van Eijnatten, Jan Wolff, et al.
European Journal of Orthodontics|April 29, 2017
Accuracy of MDCT and CBCT in three-dimensional evaluation of the oropharynx morphologyHui Chen, Maureen van Eijnatten, Ghizlane Aarab, et al.
Medical Physics|August 30, 2019
Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural networkJordi Minnema, Maureen van Eijnatten, Allard A Hendriksen, et al.
Physics in Medicine and Biology|June 9, 2021
Efficient high cone-angle artifact reduction in circular cone-beam CT using deep learning with geometry-aware dimension reductionJordi Minnema, Maureen van Eijnatten, Henri der Sarkissian, et al.
Computer Methods and Programs in Biomedicine|July 21, 2021
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learningMaureen van Eijnatten, Leonardo Rundo, K Joost Batenburg, et al.
Journal of Imaging|August 30, 2021
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT ApplicationsJohannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Dento Maxillo Facial Radiology|May 9, 2022
A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgeryJordi Minnema, Anne Ernst, Maureen van Eijnatten, et al.
Dento Maxillo Facial Radiology|June 29, 2022
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D modelsMaureen van Eijnatten, Jan Wolff, Ruben Pauwels, et al.
Injury|October 10, 2017
3D assessment of damaged bicycle helmets and corresponding craniomaxillo-mandibular skull injuries: A feasibility studyGustaaf J C van Baar, Muhammad Ruslin, Maureen van Eijnatten, et al.
Medical Physics|November 2, 2017
Using 3D printing techniques to create an anthropomorphic thorax phantom for medical imaging purposesColien Hazelaar, Maureen van Eijnatten, Max Dahele, et al.
Dento Maxillo Facial Radiology|May 4, 2017
Reliability and accuracy of three imaging software packages used for 3D analysis of the upper airway on cone beam computed tomography imagesHui Chen, Maureen van Eijnatten, Jan Wolff, et al.
European Journal of Orthodontics|April 29, 2017
Accuracy of MDCT and CBCT in three-dimensional evaluation of the oropharynx morphologyHui Chen, Maureen van Eijnatten, Ghizlane Aarab, et al.
Medical Physics|August 30, 2019
Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural networkJordi Minnema, Maureen van Eijnatten, Allard A Hendriksen, et al.
Physics in Medicine and Biology|June 9, 2021
Efficient high cone-angle artifact reduction in circular cone-beam CT using deep learning with geometry-aware dimension reductionJordi Minnema, Maureen van Eijnatten, Henri der Sarkissian, et al.
Computer Methods and Programs in Biomedicine|July 21, 2021
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learningMaureen van Eijnatten, Leonardo Rundo, K Joost Batenburg, et al.
Journal of Imaging|August 30, 2021
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT ApplicationsJohannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, et al.
Pageof 3