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pro vyhledávání: '"A, Rickmann"'
Reconstructing the cortex from longitudinal MRI is indispensable for analyzing morphological changes in the human brain. Despite the recent disruption of cortical surface reconstruction with deep learning, challenges arising from longitudinal data ar
Externí odkaz:
http://arxiv.org/abs/2402.17438
The reconstruction of cortical surfaces is a prerequisite for quantitative analyses of the cerebral cortex in magnetic resonance imaging (MRI). Existing segmentation-based methods separate the surface registration from the surface extraction, which i
Externí odkaz:
http://arxiv.org/abs/2401.12938
Autor:
Wolf, Tom Nuno, Bongratz, Fabian, Rickmann, Anne-Marie, Pölsterl, Sebastian, Wachinger, Christian
Explaining predictions of black-box neural networks is crucial when applied to decision-critical tasks. Thus, attribution maps are commonly used to identify important image regions, despite prior work showing that humans prefer explanations based on
Externí odkaz:
http://arxiv.org/abs/2312.09783
Abdominal organ segmentation from CT and MRI is an essential prerequisite for surgical planning and computer-aided navigation systems. It is challenging due to the high variability in the shape, size, and position of abdominal organs. Three-dimension
Externí odkaz:
http://arxiv.org/abs/2306.15515
The wide range of research in deep learning-based medical image segmentation pushed the boundaries in a multitude of applications. A clinically relevant problem that received less attention is the handling of scans with irregular anatomy, e.g., after
Externí odkaz:
http://arxiv.org/abs/2303.07717
Autor:
Rickmann, Anne-Marie, Bongratz, Fabian, Pölsterl, Sebastian, Sarasua, Ignacio, Wachinger, Christian
The reconstruction of cerebral cortex surfaces from brain MRI scans is instrumental for the analysis of brain morphology and the detection of cortical thinning in neurodegenerative diseases like Alzheimer's disease (AD). Moreover, for a fine-grained
Externí odkaz:
http://arxiv.org/abs/2210.01772
Autor:
Philipp K. Roberts, Marc A. Macek, Annekatrin Rickmann, Philip Wakili, Anna Theresa Lorenz, Berthold Seitz, Peter Szurman, Karl T. Boden
Publikováno v:
American Journal of Ophthalmology Case Reports, Vol 36, Iss , Pp 102185- (2024)
Purpose: To present a case of high-impact perforating eye injury by knife throwing witnessed during a public performance and initially classified as penetrating eye injury. Observations: During the second reconstructive procedure an exit wound was id
Externí odkaz:
https://doaj.org/article/736c96cf62ca4ca99467706a9e30b081
The reconstruction of cortical surfaces from brain magnetic resonance imaging (MRI) scans is essential for quantitative analyses of cortical thickness and sulcal morphology. Although traditional and deep learning-based algorithmic pipelines exist for
Externí odkaz:
http://arxiv.org/abs/2203.09446
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Abdominal organ segmentation from CT and MRI is an essential prerequisite for surgical planning and computer-aided navigation systems. It is challenging due to the high variability in the shape, size, and position of abdominal organs. Three-
Externí odkaz:
https://doaj.org/article/86e75ada168f4256a4ebe1070c1e6395
We propose an unsupervised domain adaptation (UDA) approach for white matter hyperintensity (WMH) segmentation, which uses Self-Training with Uncertainty DEpendent Label refinement (STRUDEL). Self-training has recently been introduced as a highly eff
Externí odkaz:
http://arxiv.org/abs/2104.11596