Manon J. N. L. Benders

Author Info

Name	Affiliation	Papers
MANON J. N. L. BENDERS	Department of Neonatalogy, University Medical Center Utrecht, Utrecht, The Netherlands	21
Collaborators	Citations	PageRank
72	180	11.51
Referers	Referees	References
774	635	151

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100774

Publications (21 rows)

Collaborators (72 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.	4	0.46	2019
A Longitudinal Study of the Evolution of the Central Sulcus' Shape in Preterm Infants Using Manifold Learning.	0	0.34	2019
Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI	0	0.34	2019
Generative adversarial network for segmentation of motion affected neonatal brain MRI.	0	0.34	2019
The emergence of functional architecture during early brain development.	7	0.47	2017
Automatic Segmentation of the Intracranial Volume in Fetal MR Images.	0	0.34	2017
Automatic segmentation of the intracranialvolume in fetal MR images.	0	0.34	2017
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.	100	2.78	2017
T2-prepared velocity selective labelling: A novel idea for full-brain mapping of oxygen saturation.	0	0.34	2016
Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants.	1	0.36	2016
Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge.	27	0.99	2015
Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images	4	0.46	2015
Automatic segmentation of MR brain images of preterm infants using supervised classification.	13	0.63	2015
Non-invasive MRI measurements of venous oxygenation, oxygen extraction fraction and oxygen consumption in neonates.	2	0.41	2014
Microstructural brain development between 30 and 40 weeks corrected age in a longitudinal cohort of extremely preterm infants.	5	0.40	2014
Simultaneous quantitative assessment of cerebral physiology using respiratory-calibrated MRI and near-infrared spectroscopy in healthy adults.	2	0.41	2014
Implicit surface registration with surface-oriented anisotropic deformation field smoothing	0	0.34	2013
Automatic neonatal brain tissue segmentation with MRI	4	0.47	2013
Automatic segmentation of the preterm neonatal brain with MRI using supervised classification	8	0.54	2013
Assessment of quantitative cortical biomarkers in the developing brain of preterm infants	3	0.41	2013
Elastic demons: characterizing cortical development in neonates using an implicit surface registration	0	0.34	2012