Maureen van Eijnatten

According to our database, Maureen van Eijnatten authored at least 7 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.

Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik F. Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten

J. Imaging, 2021

Comparison of convolutional neural network training strategies for cone-beam CT image segmentation.

Jordi Minnema, Jan Wolff, Juha Koivisto, Felix Lucka, Kees Joost Batenburg, Tymour Forouzanfar, Maureen van Eijnatten

Comput. Methods Programs Biomed., 2021

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.

Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek

Comput. Methods Programs Biomed., 2021

2020

Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning.

Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly, Maureen van Eijnatten, Kees Joost Batenburg

CoRR, 2020

2019

A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning.

Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten, Giulia Colacicco, Sophia Bethany Coban, Kees Joost Batenburg

CoRR, 2019

2018

CT image segmentation of bone for medical additive manufacturing using a convolutional neural network.

Jordi Minnema, Maureen van Eijnatten, Wouter M. Kouw, Faruk Diblen, Adriënne Mendrik, Jan Wolff

Comput. Biol. Medicine, 2018

2017

The impact of manual threshold selection in medical additive manufacturing.

Maureen van Eijnatten, Juha Koivisto, Kalle Karhu, Tymour Forouzanfar, Jan Wolff

Int. J. Comput. Assist. Radiol. Surg., 2017