Maureen van Eijnatten
Maureen van Eijnatten
Team Lead / Program Scientist, Dept. of Crop Data Science, KeyGene N.V.
Geverifieerd e-mailadres voor keygene.com
Geciteerd door
Geciteerd door
CT image segmentation methods for bone used in medical additive manufacturing
M Van Eijnatten, R van Dijk, J Dobbe, G Streekstra, J Koivisto, J Wolff
Medical engineering & physics 51, 6-16, 2018
Using 3D printing techniques to create an anthropomorphic thorax phantom for medical imaging purposes
C Hazelaar, M van Eijnatten, M Dahele, J Wolff, T Forouzanfar, B Slotman, ...
Medical physics 45 (1), 92-100, 2018
CT image segmentation of bone for medical additive manufacturing using a convolutional neural network
J Minnema, M van Eijnatten, W Kouw, F Diblen, A Mendrik, J Wolff
Computers in biology and medicine 103, 130-139, 2018
The impact of manual threshold selection in medical additive manufacturing
M Van Eijnatten, J Koivisto, K Karhu, T Forouzanfar, J Wolff
International journal of computer assisted radiology and surgery 12, 607-615, 2017
Segmentation of dental cone‐beam CT scans affected by metal artifacts using a mixed‐scale dense convolutional neural network
J Minnema, M van Eijnatten, AA Hendriksen, N Liberton, DM Pelt, ...
Medical physics 46 (11), 5027-5035, 2019
Effective radiation dose in the wrist resulting from a radiographic device, two CBCT devices and one MSCT device: a comparative study
J Koivisto, M Van Eijnatten, T Kiljunen, XQ Shi, J Wolff
Radiation protection dosimetry 179 (1), 58-68, 2018
Virtual forensic anthropology: the accuracy of osteometric analysis of 3D bone models derived from clinical computed tomography (CT) scans
KL Colman, HH De Boer, JGG Dobbe, NPTJ Liberton, KE Stull, ...
Forensic science international 304, 109963, 2019
A novel method of orbital floor reconstruction using virtual planning, 3-dimensional printing, and autologous bone
M Vehmeijer, M van Eijnatten, N Liberton, J Wolff
Journal of Oral and Maxillofacial Surgery 74 (8), 1608-1612, 2016
A cone-beam X-ray computed tomography data collection designed for machine learning
H Der Sarkissian, F Lucka, M van Eijnatten, G Colacicco, SB Coban, ...
Scientific data 6 (1), 215, 2019
Quantitative comparison of deep learning-based image reconstruction methods for low-dose and sparse-angle CT applications
J Leuschner, M Schmidt, PS Ganguly, V Andriiashen, SB Coban, ...
Journal of Imaging 7 (3), 44, 2021
Accuracy of MDCT and CBCT in three-dimensional evaluation of the oropharynx morphology
H Chen, M Van Eijnatten, G Aarab, T Forouzanfar, J De Lange, ...
European journal of orthodontics 40 (1), 58-64, 2018
Influence of CT parameters on STL model accuracy
M Van Eijnatten, FH Berger, P De Graaf, J Koivisto, T Forouzanfar, J Wolff
Rapid Prototyping Journal 23 (4), 678-685, 2017
Reliability and accuracy of three imaging software packages used for 3D analysis of the upper airway on cone beam computed tomography images
H Chen, M Van Eijnatten, J Wolff, J De Lange, PF Van Der Stelt, ...
Dentomaxillofacial radiology 46 (6), 20170043, 2017
Comparison of cardiac time intervals between echocardiography and impedance cardiography at various heart rates
MAJM Van Eijnatten, MJ Van Rijssel, RJA Peters, RM Verdaasdonk, ...
Journal of electrical bioimpedance 5 (1), 2-8, 2014
MRI and additive manufacturing of nasal alar constructs for patient-specific reconstruction
DO Visscher, M Van Eijnatten, NPTJ Liberton, J Wolff, MBM Hofman, ...
Scientific reports 7 (1), 10021, 2017
The accuracy of ultrashort echo time MRI sequences for medical additive manufacturing
M van Eijnatten, EJ Rijkhorst, M Hofman, T Forouzanfar, J Wolff
Dentomaxillofacial Radiology 45 (5), 20150424, 2016
A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery
J Minnema, A Ernst, M van Eijnatten, R Pauwels, T Forouzanfar, ...
Dentomaxillofacial Radiology 51 (7), 20210437, 2022
Comparison of convolutional neural network training strategies for cone-beam CT image segmentation
J Minnema, J Wolff, J Koivisto, F Lucka, KJ Batenburg, T Forouzanfar, ...
Computer Methods and Programs in Biomedicine 207, 106192, 2021
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning
M van Eijnatten, L Rundo, KJ Batenburg, F Lucka, E Beddowes, C Caldas, ...
Computer Methods and Programs in Biomedicine 208, 106261, 2021
Impact of prone, supine and oblique patient positioning on CBCT image quality, contrast-to-noise ratio and figure of merit value in the maxillofacial region
J Koivisto, M Van Eijnatten, J Järnstedt, K Holli-Helenius, P Dastidar, ...
Dentomaxillofacial Radiology 46 (6), 20160418, 2017
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