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1

Subcutaneous and visceral fat density is associated with lo..:

Van Erck, D ; Moeskops, P ; Schoufour, JD...
European Journal of Preventive Cardiology. 29 (2022) Supplement_1 - p. , 2022

Link: https://doi.org/10.1093/..

2

Deep learning body-composition analysis of clinically acqui..:

Pieters, Tobias T. ; Veldhuis, W. B. ; Moeskops, P....
Scientific Reports. 12 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

3

Automatic extraction of the intracranial volume in fetal an..:

Khalili, Nadieh ; Turk, E. ; Benders, M.J.N.L....
NeuroImage: Clinical. 24 (2019) - p. 102061 , 2019

Link: https://doi.org/10.1016/..

4

New type of igneous layering due to fractionation of Archae..:

MOESKOPS, P. G.
Nature. 267 (1977) 5611 - p. 508-509 , 1977

Link: https://doi.org/10.1038/..

5

Yilgarn nickel gossan geochemistry — A review, with new dat:

Moeskops, P.G.
Journal of Geochemical Exploration. 8 (1977) 1-2 - p. 247-258 , 1977

Link: https://doi.org/10.1016/..

6

Deep learning body-composition analysis of clinically acqui..:

Pieters, Tobias T ; Veldhuis, W. B ; Moeskops, P...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151677/. , 2022

Link: http://www.ncbi.nlm.nih...

7

Automatic extraction of the intracranial volume in fetal an..:

Khalili, Nadieh ; Turk, E ; Benders, M. J.N.L...
2213-1582. , 2019

Link: https://dspace.library.u..

8

Automatic extraction of the intracranial volume in fetal an..:

Khalili, Nadieh ; Turk, E ; Benders, M.J.N.L...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909142/. , 2019

Link: http://www.ncbi.nlm.nih...

9

Inferring a third spatial dimension from 2D histological im..:

Lafarge, MW ; Pluim, JPW Josien ; Eppenhof, KAJ Koen.. , 2018

Link: http://repository.tue.nl..

10

Deformable image registration using convolutional neural ne..:

Eppenhof, KAJ Koen ; Lafarge, MW ; Moeskops, P.. , 2018

Link: http://repository.tue.nl..

11

Evaluation of a deep learning approach for the segmentation..:

Moeskops, P ; Bresser, Jeroen de ; Kuijf, HJ...
ISSN:2213-1582. , 2018

Link: http://repository.tue.nl..

12

Evaluation of a deep learning approach for the segmentation..:

Moeskops, P ; de Bresser, J ; Kuijf, H.J...
Moeskops , P , de Bresser , J , Kuijf , H J , Mendrik , A M , Biessels , G J , Pluim , J P W & Išgum , I 2018 , ' Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI ' , NeuroImage: Clinical , vol. 17 , pp. 251-262 . https://doi.org/10.1016/j.nicl.2017.10.007. , 2018

Link: https://research.tue.nl/..

13

Prediction of cognitive and motor outcome of preterm infant..:

Moeskops, P ; Išgum, I ; Keunen, K...
Moeskops , P , Išgum , I , Keunen , K , Claessens , N H P , van Haastert , I C , Groenendaal , F , de Vries , L S , Viergever , M A & Benders , M J N L 2017 , ' Prediction of cognitive and motor outcome of preterm infants based on automatic quantitative descriptors from neonatal MR brain images ' , Scientific Reports , vol. 7 , no. 1 , 2163 . https://doi.org/10.1038/s41598-017-02307-w. , 2017

Link: https://research.tue.nl/..

14

Isointense infant brain MRI segmentation with a dilated con..:

Moeskops, P ; Pluim, JPW Josien , 2017

Link: http://repository.tue.nl..

15

Automatic segmentation of the intracranialvolume in fetal M..:

Khalili, N ; Moeskops, P ; Claessens, N. H. P...
http://arxiv.org/abs/1708.02282. , 2017

Link: http://arxiv.org/abs/170..

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