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Institution

University Medical Center Freiburg

HealthcareFreiburg, Germany
About: University Medical Center Freiburg is a healthcare organization based out in Freiburg, Germany. It is known for research contribution in the topics: Transplantation & Population. The organization has 5627 authors who have published 8143 publications receiving 219865 citations. The organization is also known as: Division of Rheumatology and Clinical Immunology, University Medical Center Freiburg, Freiburg, Germany. & Universitätsklinikum Freiburg.


Papers
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Journal ArticleDOI
TL;DR: The approach of GRADE to rating quality of evidence specifies four categories-high, moderate, low, and very low-that are applied to a body of evidence, not to individual studies.

5,228 citations

Book ChapterDOI
17 Oct 2016
TL;DR: In this paper, the authors propose a network for volumetric segmentation that learns from sparsely annotated volumetrized images, which is trained end-to-end from scratch, i.e., no pre-trained network is required.
Abstract: This paper introduces a network for volumetric segmentation that learns from sparsely annotated volumetric images. We outline two attractive use cases of this method: (1) In a semi-automated setup, the user annotates some slices in the volume to be segmented. The network learns from these sparse annotations and provides a dense 3D segmentation. (2) In a fully-automated setup, we assume that a representative, sparsely annotated training set exists. Trained on this data set, the network densely segments new volumetric images. The proposed network extends the previous u-net architecture from Ronneberger et al. by replacing all 2D operations with their 3D counterparts. The implementation performs on-the-fly elastic deformations for efficient data augmentation during training. It is trained end-to-end from scratch, i.e., no pre-trained network is required. We test the performance of the proposed method on a complex, highly variable 3D structure, the Xenopus kidney, and achieve good results for both use cases.

4,629 citations

Journal ArticleDOI
TL;DR: This review brings up important questions that are still open, and addresses some significant issues which must be tackled in the future for a better understanding of the behavior of antibiotics in the environment, as well as the risks associated with their occurrence.

3,620 citations

Journal ArticleDOI
TL;DR: In the GRADE approach, randomized trials start as high-quality evidence and observational studies as low- quality evidence, but both can be rated down if most of the relevant evidence comes from studies that suffer from a high risk of bias.

2,059 citations

Journal ArticleDOI
TL;DR: It is suggested that examination of 95% confidence intervals (CIs) provides the optimal primary approach to decisions regarding imprecision and rating down the quality of evidence is required if clinical action would differ if the upper versus the lower boundary of the CI represented the truth.

1,844 citations


Authors

Showing all 5677 results

NameH-indexPapersCitations
Alex J. Barker132127384746
Lothar Kanz9665830558
Marco Prinz9440736079
Henk J. Blom9140236368
Gerd Schmitz9062633170
Martin Schumacher8659434862
Hanns Lochmüller8362425707
Martin S. Hirsch8232232239
Rolf Mülhaupt8154030666
Dieter Ebert7935222782
Dieter Riemann7752223899
Martin Herrmann7740224665
Jürgen Hennig7748723604
Ulf Müller-Ladner7759027658
Thomas Brunner7544823438
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202315
202270
2021469
2020483
2019452
2018470