Institution
University of Tübingen
Education•Tübingen, Germany•
About: University of Tübingen is a education organization based out in Tübingen, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 40555 authors who have published 84108 publications receiving 3015320 citations. The organization is also known as: Eberhard Karls University & Eberhard-Karls-Universität Tübingen.
Topics: Population, Transplantation, Immune system, Antigen, T cell
Papers published on a yearly basis
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German Cancer Research Center1, Helmholtz-Zentrum Dresden-Rossendorf2, McGill University3, Moffitt Cancer Center4, Harvard University5, Brigham and Women's Hospital6, Kettering University7, Johns Hopkins University8, University of Pennsylvania9, University Medical Center Groningen10, University of Zurich11, King's College London12, University of Lausanne13, Netherlands Cancer Institute14, Stanford University15, University of Michigan16, Maastricht University Medical Centre17, University of Tübingen18, University of Bergen19, University of California, San Francisco20, University of Geneva21, University of British Columbia22, Cardiff University23, Leiden University Medical Center24
TL;DR: A set of 169 radiomics features was standardized, which enabled verification and calibration of different radiomics software and could be excellently reproduced.
Abstract: Background Radiomic features may quantify characteristics present in medical imaging. However, the lack of standardized definitions and validated reference values have hampered clinical use. Purpose To standardize a set of 174 radiomic features. Materials and Methods Radiomic features were assessed in three phases. In phase I, 487 features were derived from the basic set of 174 features. Twenty-five research teams with unique radiomics software implementations computed feature values directly from a digital phantom, without any additional image processing. In phase II, 15 teams computed values for 1347 derived features using a CT image of a patient with lung cancer and predefined image processing configurations. In both phases, consensus among the teams on the validity of tentative reference values was measured through the frequency of the modal value and classified as follows: less than three matches, weak; three to five matches, moderate; six to nine matches, strong; 10 or more matches, very strong. In the final phase (phase III), a public data set of multimodality images (CT, fluorine 18 fluorodeoxyglucose PET, and T1-weighted MRI) from 51 patients with soft-tissue sarcoma was used to prospectively assess reproducibility of standardized features. Results Consensus on reference values was initially weak for 232 of 302 features (76.8%) at phase I and 703 of 1075 features (65.4%) at phase II. At the final iteration, weak consensus remained for only two of 487 features (0.4%) at phase I and 19 of 1347 features (1.4%) at phase II. Strong or better consensus was achieved for 463 of 487 features (95.1%) at phase I and 1220 of 1347 features (90.6%) at phase II. Overall, 169 of 174 features were standardized in the first two phases. In the final validation phase (phase III), most of the 169 standardized features could be excellently reproduced (166 with CT; 164 with PET; and 164 with MRI). Conclusion A set of 169 radiomics features was standardized, which enabled verification and calibration of different radiomics software. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Kuhl and Truhn in this issue.
1,563 citations
German Cancer Research Center1, Heidelberg University2, McGill University3, Montreal Children's Hospital4, University of Düsseldorf5, University of Tübingen6, Virginia Commonwealth University7, Augsburg College8, Boston Children's Hospital9, University of Colorado Denver10, Cincinnati Children's Hospital Medical Center11, University of Würzburg12, Martin Luther University of Halle-Wittenberg13, Hannover Medical School14, Medical University of Łódź15, Memorial Hospital of South Bend16, Semmelweis University17, University of Debrecen18, University of Toronto19, University of Amsterdam20, Henry Ford Health System21, University of Texas MD Anderson Cancer Center22, University of Cambridge23
TL;DR: It is demonstrated that each H3F3A mutation defines an epigenetic subgroup of GBM with a distinct global methylation pattern, and that they are mutually exclusive with IDH1 mutations, which characterize a third mutation-defined subgroup.
1,557 citations
TL;DR: The cyclic heptapeptide, microcystin‐LR, inhibits protein phosphatases 1 (PP1) and 2A (PP2A) with K i, values below 0.1 nM, and this results are strikingly similar to those obtained with the tumour promoter okadaic acid.
1,555 citations
Paris 12 Val de Marne University1, French Institute of Health and Medical Research2, University of Göttingen3, Ghent University4, University Hospital of Lausanne5, University of Lisbon6, university of lille7, Università Campus Bio-Medico8, University of Belgrade9, University of Hamburg10, Turku University Hospital11, Aristotle University of Thessaloniki12, University of Regensburg13, University of Bern14, Ludwig Maximilian University of Munich15, University of Siena16, The Catholic University of America17, University College London18, University of Ulm19, Copenhagen University Hospital20, University of Oxford21, University of Barcelona22, University of Tübingen23
TL;DR: There is a sufficient body of evidence to accept with level A (definite efficacy) the analgesic effect of high-frequency rTMS of the primary motor cortex (M1) contralateral to the pain and the antidepressant effect of HF-rT MS of the left dorsolateral prefrontal cortex (DLPFC).
1,554 citations
TL;DR: In this paper, the immobile trace elements Nb, Zr and Y were used to distinguish between different types of mid-ocean ridge basalts (MORB) including N-type MORB, from normal midocean ridges and P-type, from plume-influenced regions).
1,537 citations
Authors
Showing all 41039 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| John Q. Trojanowski | 226 | 1467 | 213948 |
| Lily Yeh Jan | 162 | 467 | 73655 |
| Monique M.B. Breteler | 159 | 546 | 93762 |
| Wolfgang Wagner | 156 | 2342 | 123391 |
| Thomas Meitinger | 155 | 716 | 108491 |
| Hermann Brenner | 151 | 1765 | 145655 |
| Amartya Sen | 149 | 689 | 141907 |
| Bernhard Schölkopf | 148 | 1092 | 149492 |
| Niels Birbaumer | 142 | 835 | 77853 |
| Detlef Weigel | 142 | 516 | 84670 |
| Peter Lang | 140 | 1136 | 98592 |
| Marco Colonna | 139 | 512 | 71166 |
| António Amorim | 136 | 1477 | 96519 |
| Alexis Brice | 135 | 870 | 83466 |
| Elias Campo | 135 | 761 | 85160 |