Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Line Kühnel"'
Autor:
Lars Lau Raket, Line Kühnel, Ellen Schmidt, Kaj Blennow, Henrik Zetterberg, Niklas Mattsson‐Carlgren
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 12, Iss 1, Pp n/a-n/a (2020)
Abstract Introduction Several blood‐based biomarkers are associated with neuronal injury, but their utility in interventional clinical trials is unclear. This study retrospectively evaluated the utility of plasma neurofilament light (NfL) and total
Externí odkaz:
https://doaj.org/article/4311cc1316a246418b4a4116fe3ac384
Publikováno v:
Statistics in Medicine. 40:3251-3266
Analyzing the progression of Alzheimer's disease (AD) is challenging due to lacking sensitivity in currently available measures. AD stages are typically defined based on cognitive cut-offs, but this results in heterogeneous patient groups. More accur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70cf3653c6367314c54b7b1288d178c8
https://doi.org/10.1002/sim.8932
https://doi.org/10.1002/sim.8932
Autor:
José Luis Molinuevo, Jérémie Lespinasse, Line Kühnel, Carole Dufouil, Vincent Bouteloup, Lars Lau Raket, Geneviève Chêne
Publikováno v:
Alzheimer's and Dementia
Alzheimer's and Dementia, Elsevier, 2021, ⟨10.1002/alz.12363⟩
Alzheimer's and Dementia, Elsevier, 2021, ⟨10.1002/alz.12363⟩
INTRODUCTION: The prognosis of patients at the pre-dementia stage is difficult to define. The aim of this study is to develop and validate a biomarker-based continuous model for predicting the individual cognitive level at any future moment. In addit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c950724ed9116c57886db5817608620e
https://hal.archives-ouvertes.fr/hal-03439298
https://hal.archives-ouvertes.fr/hal-03439298
Publikováno v:
Applied Mathematics and Computation. 356:411-437
With the emergence of deep learning methods, new computational frameworks have been developed that mix symbolic expressions with efficient numerical computations. In this work, we will demonstrate how deterministic and stochastic dynamics on manifold
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad6b613aac9b25b27ccc3be0bcb9f805
https://doi.org/10.1016/j.amc.2019.03.044
https://doi.org/10.1016/j.amc.2019.03.044
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687793
ICPR Workshops (6)
ICPR Workshops (6)
Deep generative models, e.g., variational autoencoders and generative adversarial networks, result in latent representation of observed data. The low dimensionality of the latent space provides an ideal setting for analysing high-dimensional data tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b57bf468ed417285647dee8ffc17e40a
https://doi.org/10.1007/978-3-030-68780-9_16
https://doi.org/10.1007/978-3-030-68780-9_16
Autor:
Niklas Mattsson-Carlgren, Line Kühnel, Ellen Schmidt, Lars Lau Raket, Henrik Zetterberg, Kaj Blennow
Publikováno v:
Raket, L L, Kühnel, L, Schmidt, E, Blennow, K, Zetterberg, H & Mattsson-Carlgren, N 2020, ' Utility of plasma neurofilament light and total tau for clinical trials in Alzheimer's disease ', Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, vol. 12, no. 1, e12099 . https://doi.org/10.1002/dad2.12099
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 12, Iss 1, Pp n/a-n/a (2020)
Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 12, Iss 1, Pp n/a-n/a (2020)
Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring
Introduction: Several blood-based biomarkers are associated with neuronal injury, but their utility in interventional clinical trials is unclear. This study retrospectively evaluated the utility of plasma neurofilament light (NfL) and total tau (t-ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5249aca8738a69507ce8149c962a9982
https://doi.org/10.1002/dad2.12099
https://doi.org/10.1002/dad2.12099
Autor:
Bo Markussen, Clara B. Marschner, Line Kühnel, Inge Tarnow, Bo Wiinberg, Annemarie T. Kristensen, Louise Bochsen
Publikováno v:
Journal of Veterinary Emergency and Critical Care. 28:20-30
Objective To investigate parameters causing canine thromboelastographic hypercoagulability and to investigate whether thromboelastography (TEG) with Cytochalasin D (Cyt D) added is related to parameters of platelet activity. Design Prospective observ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5245cdd5d88931c5f085341b02b3aad
https://doi.org/10.1111/vec.12675
https://doi.org/10.1111/vec.12675
Autor:
Stefan Sommer, Line Kühnel
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319684444
GSI
GSI
This paper considers the estimation problem arising when inferring parameters in the stochastic development regression model for manifold valued non-linear data. Stochastic development regression captures the relation between manifold-valued response
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcb080596d1603c19cd3bb344b5b77eb
https://doi.org/10.1007/978-3-319-68445-1_1
https://doi.org/10.1007/978-3-319-68445-1_1
Autor:
Lars Lau Raket, Sune Darkner, Mads Nielsen, Akshay Pai, Lauge Sørensen, Line Kühnel, Stefan Sommer
Publikováno v:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging ISBN: 9783319611877
MCV/BAMBI@MICCAI
MCV/BAMBI@MICCAI
Template estimation plays a crucial role in computational anatomy since it provides reference frames for performing statistical analysis of the underlying anatomical population variability. While building models for template estimation, variability i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd338659f169770c156f4fb8ff3cc7df
https://doi.org/10.1007/978-3-319-61188-4_14
https://doi.org/10.1007/978-3-319-61188-4_14
Autor:
Stefan Sommer, Line Kühnel
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319590493
IPMI
IPMI
We introduce a regression model for data on non-linear manifolds. The model describes the relation between a set of manifold valued observations, such as shapes of anatomical objects, and Euclidean explanatory variables. The approach is based on stoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fd9db7113b405799d6cea646b2156fa
https://doi.org/10.1007/978-3-319-59050-9_5
https://doi.org/10.1007/978-3-319-59050-9_5