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Monique M.B. Breteler
University of Bonn
632Publications
142H-index
71.2kCitations
Publications 636
Newest
#1Santiago Estrada (German Center for Neurodegenerative Diseases)H-Index: 2
#2Ran Lu (German Center for Neurodegenerative Diseases)H-Index: 1
Last.Martin Reuter (Harvard University)H-Index: 2
view all 7 authors...
Purpose: Development of a fast and fully automated deep learning pipeline (FatSegNet) to accurately identify, segment, and quantify abdominal adipose tissue on Dixon MRI from the Rhineland Study - a large prospective population-based study. Method: FatSegNet is composed of three stages: (i) consistent localization of the abdominal region using two 2D-Competitive Dense Fully Convolutional Networks (CDFNet), (ii) segmentation of adipose tissue on three views by independent CDFNets, and (iii) view ...
1 CitationsSource
#1Gabriel Cuellar Partida (UQ: University of Queensland)H-Index: 3
#2Joyce Y. TungH-Index: 35
Last.Sarah E. Medland (QIMR: QIMR Berghofer Medical Research Institute)H-Index: 77
view all 118 authors...
Handedness, a consistent asymmetry in skill or use of the hands, has been studied extensively because of its relationship with language and the over-representation of left-handers in some neurodevelopmental disorders. Using data from the UK Biobank, 23andMe and 32 studies from the International Handedness Consortium, we conducted the world9s largest genome-wide association study of handedness (1,534,836 right-handed, 194,198 (11.0%) left-handed and 37,637 (2.1%) ambidextrous individuals). We fou...
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#1Andrea AnesiH-Index: 1
#2Rubert JH-Index: 1
Last.Mattivi FH-Index: 1
view all 7 authors...
Tryptophan and tyrosine metabolism has a major effect on human health, and disorders have been associated with the development of several pathologies. Recently, gut microbial metabolism was found to be important for maintaining correct physiology. Here, we describe the development and validation of a UHPLC-ESI-MS/MS method for targeted quantification of 39 metabolites related to tryptophan and tyrosine metabolism, branched chain amino acids and gut-derived metabolites in human plasma and urine. ...
1 CitationsSource
#2Ran RotemH-Index: 3
Last.Marc G. WeisskopfH-Index: 51
view all 7 authors...
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#1N. Merten (German Center for Neurodegenerative Diseases)
#2Johanna Kramme (German Center for Neurodegenerative Diseases)H-Index: 1
Last.Sibylle C. Herholz (German Center for Neurodegenerative Diseases)H-Index: 8
view all 4 authors...
Auditory processing can be enhanced by motor system activity. During auditory-motor synchronization, motor activity guides auditory attention and thus facilitates auditory performance through active sensing. Previous research on enhanced auditory processing through motor synchronization has been limited to easy tasks with simple stimulus material. Further, the mechanisms and brain regions underlying this synchronization are unclear. We investigated the effect of motor synchronization on auditory...
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#1Natascha Merten (UW: University of Wisconsin-Madison)
#2Mary E. Fischer (UW: University of Wisconsin-Madison)H-Index: 17
Last.Karen J. Cruickshanks (UW: University of Wisconsin-Madison)H-Index: 68
view all 5 authors...
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#1Matthias M. Mauschitz (University of Bonn)H-Index: 7
#2Frank G. Holz (University of Bonn)H-Index: 56
Last.Monique M.B. Breteler (University of Bonn)H-Index: 142
view all 4 authors...
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Purpose: Development of a fast and fully automated deep learning pipeline (FatSegNet) to accurately identify, segment, and quantify abdominal adipose tissue on Dixon MRI from the Rhineland Study - a large prospective population-based study. Method: FatSegNet is composed of three stages: (i) consistent localization of the abdominal region using two 2D-Competitive Dense Fully Convolutional Networks (CDFNet), (ii) segmentation of adipose tissue on three views by independent CDFNets, and (iii) view ...
1 Citations
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#1Matthias M. Mauschitz (University of Bonn)H-Index: 7
#2Jeany Q. Li (University of Bonn)H-Index: 2
Last.Robert Finger (University of Bonn)H-Index: 33
view all 7 authors...
In Deutschland leben Schatzungen zufolge bis zu 500.000 blinde und bis zu 1 Mio. sehbehinderte Menschen. Da in Deutschland ein nationales Blindenregister fehlt, wird fur diese Schatzungen auf Daten der Vergabestellen von Transferleistungen wie Blindengeld und der Versorgungsamter sowie auf bevolkerungsbasierte Studien zuruckgegriffen. Hauptursachen fur hochgradige Sehbehinderung und Blindheit sind die altersabhangige Makuladegeneration, das Glaukom und die diabetischen Augenerkrankungen. Insgesa...
3 CitationsSource
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