Zobrazeno 1 - 10
of 25 779
pro vyhledávání: '"Christian, F. A."'
Autor:
Díaz, Jorge Gerardo Flores
Publikováno v:
Foro Internacional, 2024 Jul 01. 643 (257), 739-744.
Externí odkaz:
https://www.jstor.org/stable/27333537
Publikováno v:
Journal of the Society of Architectural Historians, 2013 Sep . 72(3), 285-288.
Externí odkaz:
https://www.jstor.org/stable/10.1525/jsah.2013.72.3.285
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
Data scarcity is a major limiting factor for applying modern machine learning techniques to clinical tasks. Although sufficient data exists for some well-studied medical tasks, there remains a long tail of clinically relevant tasks with poor data ava
Externí odkaz:
http://arxiv.org/abs/2408.08058
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
Inverse problems, such as accelerated MRI reconstruction, are ill-posed and an infinite amount of possible and plausible solutions exist. This may not only lead to uncertainty in the reconstructed image but also in downstream tasks such as semantic s
Externí odkaz:
http://arxiv.org/abs/2407.18026
Autor:
Wundram, Anna M., Fischer, Paul, Muehlebach, Michael, Koch, Lisa M., Baumgartner, Christian F.
Recent works have introduced methods to estimate segmentation performance without ground truth, relying solely on neural network softmax outputs. These techniques hold potential for intuitive output quality control. However, such performance estimate
Externí odkaz:
http://arxiv.org/abs/2407.13307
Deformable image registration is fundamental to many medical imaging applications. Registration is an inherently ambiguous task often admitting many viable solutions. While neural network-based registration techniques enable fast and accurate registr
Externí odkaz:
http://arxiv.org/abs/2407.10567
Autor:
Fischer, Paul, Willms, Hannah, Schneider, Moritz, Thorwarth, Daniela, Muehlebach, Michael, Baumgartner, Christian F.
Cancer remains a leading cause of death, highlighting the importance of effective radiotherapy (RT). Magnetic resonance-guided linear accelerators (MR-Linacs) enable imaging during RT, allowing for inter-fraction, and perhaps even intra-fraction, adj
Externí odkaz:
http://arxiv.org/abs/2407.08432
Autor:
Schurig, Klaus
Publikováno v:
Rabels Zeitschrift für ausländisches und internationales Privatrecht / The Rabel Journal of Comparative and International Private Law, 2021 Jan 01. 85(1), 180-184.
Externí odkaz:
https://www.jstor.org/stable/45383126