Maureen van Eijnatten - researchr alias

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Viewing Publication 1 - 5 from 5

2021

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT ApplicationsJohannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten. jimaging, 7(3):44, 2021. [doi]

Comparison of convolutional neural network training strategies for cone-beam CT image segmentationJordi Minnema, Jan Wolff, Juha Koivisto, Felix Lucka, Kees Joost Batenburg, Tymour Forouzanfar, Maureen van Eijnatten. cmpb, 207:106192, 2021. [doi]

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learningMaureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek. cmpb, 208:106261, 2021. [doi]

2018

CT image segmentation of bone for medical additive manufacturing using a convolutional neural networkJordi Minnema, Maureen van Eijnatten, Wouter M. Kouw, Faruk Diblen, Adriënne Mendrik, Jan Wolff. cbm, 103:130-139, 2018. [doi]

2017

The impact of manual threshold selection in medical additive manufacturingMaureen van Eijnatten, Juha Koivisto, Kalle Karhu, Tymour Forouzanfar, Jan Wolff. cars, 12(4):607-615, 2017. [doi]

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