Pim Moeskops
Pim Moeskops
Quantib
Verified email at quantib.com
Title
Cited by
Cited by
Year
Automatic segmentation of MR brain images with a convolutional neural network
P Moeskops, MA Viergever, AM Mendrik, LS de Vries, M Benders, I Isgum
IEEE Transactions on Medical Imaging 35 (5), 1252-1261, 2016
6792016
Deep learning for multi-task medical image segmentation in multiple modalities
P Moeskops, JM Wolterink, BHM van der Velden, KGA Gilhuijs, T Leiner, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
2172016
Adversarial training and dilated convolutions for brain MRI segmentation
P Moeskops, M Veta, MW Lafarge, KAJ Eppenhof, JPW Pluim
Deep learning in medical image analysis and multimodal learning for clinical …, 2017
1122017
Structural and resting state functional connectivity of the subthalamic nucleus: identification of motor STN parts and the hyperdirect pathway
EJL Brunenberg, P Moeskops, WH Backes, C Pollo, L Cammoun, ...
PloS one 7 (6), e39061, 2012
1092012
Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge
I Išgum, MJNL Benders, B Avants, MJ Cardoso, SJ Counsell, EF Gomez, ...
Medical image analysis 20 (1), 135-151, 2015
802015
Domain-adversarial neural networks to address the appearance variability of histopathology images
MW Lafarge, JPW Pluim, KAJ Eppenhof, P Moeskops, M Veta
Deep learning in medical image analysis and multimodal learning for clinical …, 2017
732017
Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge
L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ...
IEEE transactions on medical imaging 38 (9), 2219-2230, 2019
712019
Deformable image registration using convolutional neural networks
KAJ Eppenhof, MW Lafarge, P Moeskops, M Veta, JPW Pluim
Medical Imaging 2018: Image Processing 10574, 105740S, 2018
702018
Automatic segmentation of MR brain images of preterm infants using supervised classification
P Moeskops, MJNL Benders, SM Chiţǎ, KJ Kersbergen, F Groenendaal, ...
NeuroImage 118, 628-641, 2015
692015
Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI
P Moeskops, J de Bresser, HJ Kuijf, AM Mendrik, GJ Biessels, JPW Pluim, ...
NeuroImage: Clinical 17, 251-262, 2018
612018
Development of cortical morphology evaluated with longitudinal MR brain images of preterm infants
P Moeskops, MJNL Benders, KJ Kersbergen, F Groenendaal, LS de Vries, ...
PLOS ONE 10 (7), e0131552, 2015
572015
Perioperative neonatal brain injury is associated with worse school‐age neurodevelopment in children with critical congenital heart disease
NHP Claessens, SO Algra, TL Ouwehand, NJG Jansen, R Schappin, ...
Developmental Medicine & Child Neurology 60 (10), 1052-1058, 2018
442018
Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants
KJ Kersbergen, F Leroy, I Išgum, F Groenendaal, LS de Vries, ...
Neuroimage 142, 301-310, 2016
352016
Delayed cortical gray matter development in neonates with severe congenital heart disease
NHP Claessens, P Moeskops, A Buchmann, B Latal, W Knirsch, I Scheer, ...
Pediatric Research 80, 668–674, 2016
322016
Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images
P Moeskops, MA Viergever, MJNL Benders, I Išgum
Medical Imaging 2015: Image Processing 9413, 941315, 2015
182015
Severe retinopathy of prematurity is associated with reduced cerebellar and brainstem volumes at term and neurodevelopmental deficits at 2 years
FJ Drost, K Keunen, P Moeskops, NHP Claessens, F Van Kalken, I Išgum, ...
Pediatric research 83 (4), 818-824, 2018
152018
Prediction of cognitive and motor outcome of preterm infants based on automatic quantitative descriptors from neonatal MR brain images
P Moeskops, I Išgum, K Keunen, NHP Claessens, IC van Haastert, ...
Scientific reports 7 (1), 1-10, 2017
152017
Automatic segmentation of the preterm neonatal brain with MRI using supervised classification
SM Chiţă, M Benders, P Moeskops, KJ Kersbergen, MA Viergever, I Išgum
Medical Imaging 2013: Image Processing 8669, 86693X, 2013
152013
Automatic segmentation of the intracranial volume in fetal MR images
N Khalili, P Moeskops, NHP Claessens, S Scherpenzeel, E Turk, ...
Fetal, Infant and Ophthalmic Medical Image Analysis, 42-51, 2017
122017
Exploring the similarity of medical imaging classification problems
V Cheplygina, P Moeskops, M Veta, B Dashtbozorg, JPW Pluim
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017
92017
The system can't perform the operation now. Try again later.
Articles 1–20