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Manon J. N. L. Benders
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2020 – today
- 2023
- [j11]Merel van den Berg, O'Jay A. G. Medina, Ingmar P. Loohuis, Michiel van der Flier
, Jeroen Dudink
Development and clinical impact assessment of a machine-learning model for early prediction of late-onset sepsis. Comput. Biol. Medicine 163: 107156 (2023)
2010 – 2019
- 2019
- [c10]Héloïse de Vareilles
A Longitudinal Study of the Evolution of the Central Sulcus' Shape in Preterm Infants Using Manifold Learning. SUSI/PIPPI@MICCAI 2019: 143-152 - [c9]Nadieh Khalili, Elise Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Generative Adversarial Network for Segmentation of Motion Affected Neonatal Brain MRI. MICCAI (3) 2019: 320-328 - [c8]João Fernandes
Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI. WorldCIST (2) 2019: 577-586 - [i4]Nadieh Khalili, Elise Turk, Majd Zreik, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Generative adversarial network for segmentation of motion affected neonatal brain MRI. CoRR abs/1906.04704 (2019) - [i3]Nadieh Khalili, Nikolas Leßmann, Elise Turk, Nathalie H. P. Claessens, R. de Heus, T. Kolk, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum:
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks. CoRR abs/1906.04713 (2019) - 2017
- [j10]Kristin Keunen, Serena J. Counsell
The emergence of functional architecture during early brain development. NeuroImage 160: 2-14 (2017) - [c7]Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, Elise Turk
Automatic Segmentation of the Intracranial Volume in Fetal MR Images. FIFI/OMIA@MICCAI 2017: 42-51 - [i2]Pim Moeskops, Max A. Viergever, Adriënne M. Mendrik, Linda S. de Vries, Manon J. N. L. Benders, Ivana Isgum:
Automatic segmentation of MR brain images with a convolutional neural network. CoRR abs/1704.03295 (2017) - [i1]Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, Elise Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum:
Automatic segmentation of the intracranialvolume in fetal MR images. CoRR abs/1708.02282 (2017) - 2016
- [j9]Tanja Alderliesten, Jill B. De Vis, Petra M. A. Lemmers, Frank van Bel, Manon J. N. L. Benders, Jeroen Hendrikse, Esben Thade Petersen
T2-prepared velocity selective labelling: A novel idea for full-brain mapping of oxygen saturation. NeuroImage 139: 65-73 (2016) - [j8]Karina J. Kersbergen, François Leroy
Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants. NeuroImage 142: 301-310 (2016) - [j7]Pim Moeskops
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network. IEEE Trans. Medical Imaging 35(5): 1252-1261 (2016) - 2015
- [j6]Ivana Isgum
Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge. Medical Image Anal. 20(1): 135-151 (2015) - [j5]Pim Moeskops
Automatic segmentation of MR brain images of preterm infants using supervised classification. NeuroImage 118: 628-641 (2015) - [c6]Pim Moeskops
Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images. Medical Imaging: Image Processing 2015: 941315 - 2014
- [j4]Tanja Alderliesten, Jill B. De Vis, Petra M. A. Lemmers, Frank van Bel, Manon J. N. L. Benders, Jeroen Hendrikse, E. T. Petersen
Simultaneous quantitative assessment of cerebral physiology using respiratory-calibrated MRI and near-infrared spectroscopy in healthy adults. NeuroImage 85: 255-263 (2014) - [j3]Jill B. De Vis, E. T. Petersen
Non-invasive MRI measurements of venous oxygenation, oxygen extraction fraction and oxygen consumption in neonates. NeuroImage 95: 185-192 (2014) - [j2]Karina J. Kersbergen, Alexander Leemans
Microstructural brain development between 30 and 40 weeks corrected age in a longitudinal cohort of extremely preterm infants. NeuroImage 103: 214-224 (2014) - 2013
- [c5]Paul C. Pearlman, Ivana Isgum
Implicit surface registration with surface-oriented anisotropic deformation field smoothing. ISBI 2013: 480-483 - [c4]Pim Moeskops
Assessment of quantitative cortical biomarkers in the developing brain of preterm infants. Medical Imaging: Computer-Aided Diagnosis 2013: 867011 - [c3]Vedran Srhoj-Egekher
Automatic neonatal brain tissue segmentation with MRI. Medical Imaging: Image Processing 2013: 86691K - [c2]Sabina M. Chita, Manon J. N. L. Benders, Pim Moeskops
Automatic segmentation of the preterm neonatal brain with MRI using supervised classification. Medical Imaging: Image Processing 2013: 86693X - 2012
- [c1]Paul C. Pearlman, Ivana Isgum
Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration. STIA 2012: 38-49 - 2010
- [j1]Jessica Dubois
Structural asymmetries of perisylvian regions in the preterm newborn. NeuroImage 52(1): 32-42 (2010)
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