Manon J. N. L. Benders
Orcid: 0000-0001-5491-9168
According to our database1,
Manon J. N. L. Benders
authored at least 23 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Development and clinical impact assessment of a machine-learning model for early prediction of late-onset sepsis.
Comput. Biol. Medicine, September, 2023
2019
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.
CoRR, 2019
Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019
A Longitudinal Study of the Evolution of the Central Sulcus' Shape in Preterm Infants Using Manifold Learning.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2017
NeuroImage, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
2016
IEEE Trans. Medical Imaging, 2016
Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants.
NeuroImage, 2016
T<sub>2</sub>-prepared velocity selective labelling: A novel idea for full-brain mapping of oxygen saturation.
NeuroImage, 2016
2015
Automatic segmentation of MR brain images of preterm infants using supervised classification.
NeuroImage, 2015
Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge.
Medical Image Anal., 2015
Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
2014
Non-invasive MRI measurements of venous oxygenation, oxygen extraction fraction and oxygen consumption in neonates.
NeuroImage, 2014
Microstructural brain development between 30 and 40 weeks corrected age in a longitudinal cohort of extremely preterm infants.
NeuroImage, 2014
Simultaneous quantitative assessment of cerebral physiology using respiratory-calibrated MRI and near-infrared spectroscopy in healthy adults.
NeuroImage, 2014
2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Automatic segmentation of the preterm neonatal brain with MRI using supervised classification.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Assessment of quantitative cortical biomarkers in the developing brain of preterm infants.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Implicit surface registration with surface-oriented anisotropic deformation field smoothing.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012
2010
NeuroImage, 2010