Zobrazeno 1 - 10
of 555
pro vyhledávání: '"Wolfers, P."'
Autor:
Yang, Hao-Chun, Dai, Sicheng, Rutherford, Saige, Marquand, Christian Gaser Andre F, Beckmann, Christian F, Wolfers, Thomas
Unsupervised anomaly detection in brain imaging is challenging. In this paper, we propose a self-supervised masked mesh learning for unsupervised anomaly detection in 3D cortical surfaces. Our framework leverages the intrinsic geometry of the cortica
Externí odkaz:
http://arxiv.org/abs/2412.05580
Autor:
Rutherford, Saige, Wolfers, Thomas, Fraza, Charlotte, Harrnet, Nathaniel G., Beckmann, Christian F., Ruhe, Henricus G., Marquand, Andre F.
Reference classes in healthcare establish healthy norms, such as pediatric growth charts of height and weight, and are used to chart deviations from these norms which represent potential clinical risk. How the demographics of the reference class infl
Externí odkaz:
http://arxiv.org/abs/2407.19114
Autor:
Yang, Hao-Chun, Andreassen, Ole, Westlye, Lars Tjelta, Marquand, Andre F., Beckmann, Christian F., Wolfers, Thomas
The detection of heterogeneous mental disorders based on brain readouts remains challenging due to the complexity of symptoms and the absence of reliable biomarkers. This paper introduces CAM (Cortical Anomaly Detection through Masked Image Modeling)
Externí odkaz:
http://arxiv.org/abs/2312.02762
Early detection of anomalies in medical images such as brain MRI is highly relevant for diagnosis and treatment of many conditions. Supervised machine learning methods are limited to a small number of pathologies where there is good availability of l
Externí odkaz:
http://arxiv.org/abs/2312.01904
Autor:
Hugh S. Taylor, M.D., Liying Dong, M.D., Ph.D., Johanna Haikonen, M.D., Peter Oppelt, M.D., Karl Tamussino, M.D., Rene Wenzl, M.D., Ph.D., Thomas Faustmann, M.D., Esther Groettrup-Wolfers, M.D., Ph.D., Xiaowei Ren, Ph.D., Christian Seitz, M.D., Ph.D.
Publikováno v:
F&S Reports, Vol 5, Iss 2, Pp 189-196 (2024)
Objective: To evaluate the efficacy and safety of 2 doses of vilaprisan vs. placebo in participants with symptomatic endometriosis. Design: Multicenter, randomized, double-blind, placebo-controlled, parallel-group phase 2b trial (NCT03573336). The in
Externí odkaz:
https://doaj.org/article/d8f6b31dc0ed4dc1a5fa02650f0442ca
Autor:
Esten H. Leonardsen, Karin Persson, Edvard Grødem, Nicola Dinsdale, Till Schellhorn, James M. Roe, Didac Vidal-Piñeiro, Øystein Sørensen, Tobias Kaufmann, Eric Westman, Andre Marquand, Geir Selbæk, Ole A. Andreassen, Thomas Wolfers, Lars T. Westlye, Yunpeng Wang
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Deep learning approaches for clinical predictions based on magnetic resonance imaging data have shown great promise as a translational technology for diagnosis and prognosis in neurological disorders, but its clinical impact has been limited
Externí odkaz:
https://doaj.org/article/eb18586dd26d4b43a46d7dbb90ca469c
Autor:
Erkinai Derkenbaeva, Gert Jan Hofstede, Eveline van Leeuwen, Solmaria Halleck Vega, Juriaan Wolfers
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102779- (2024)
This article describes the ENERGY Pro agent-based model using the Overview, Design Concept, and Details + Human Decision-making (ODD+D protocol). The model is empirically explicit and aims to investigate the adoption decisions of homeowners in Amster
Externí odkaz:
https://doaj.org/article/ff0e415019f040009e41d1809e82b46c
Autor:
Shunsen Huang, Xiaoxiong Lai, Lara Wolfers, Yajun Li, Xinran Dai, Xinmei Zhao, Hongyun Wu, Sirong Song, Huanlei Wang, Ying He, Yun Wang
Publikováno v:
Cyberpsychology: Journal of Psychosocial Research on Cyberpspace, Vol 18, Iss 2 (2024)
There is an increasing interaction between our offline and online lives, which puts forward a challenge to understanding the relationship between stress and health, as online and offline stress may be mixed. This study used 4,127 adolescents to test
Externí odkaz:
https://doaj.org/article/8e09e1fae40d48739d8f92b7e27df135
Autor:
Karin Persson, Esten H. Leonardsen, Trine Holt Edwin, Anne-Brita Knapskog, Gro Gujord Tangen, Geir Selbæk, Thomas Wolfers, Lars T. Westlye, Knut Engedal
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The aim of this study was to assess the diagnostic validity of a deep learning-based method estimating brain age based on magnetic resonance imaging (MRI) and to compare it with volumetrics obtained using NeuroQuant (NQ) in a clinical cohort
Externí odkaz:
https://doaj.org/article/5747eaade748427f92fd3ca65956baf6
Autor:
Jan Hilpert, Esther Groettrup-Wolfers, Hristiyan Kosturski, Laura Bennett, Catriona L. K. Barnes, Kerstin Gude, Isabella Gashaw, Stefanie Reif, Thomas Steger-Hartmann, Christian Scheerans, Alexander Solms, Antje Rottmann, Guangping Mao, Charles Chapron
Publikováno v:
Drugs in R&D, Vol 23, Iss 3, Pp 221-237 (2023)
Abstract Introduction BAY1128688 is a selective inhibitor of aldo-keto reductase family 1 member C3 (AKR1C3), an enzyme implicated in the pathology of endometriosis and other disorders. In vivo animal studies suggested a potential therapeutic applica
Externí odkaz:
https://doaj.org/article/1369a10efd534cdaa1fd230aeaa2dd33