Institution
University of Bern
Education•Bern, Switzerland•
About: University of Bern is a education organization based out in Bern, Switzerland. It is known for research contribution in the topics: Population & Medicine. The organization has 35422 authors who have published 79413 publications receiving 3125088 citations. The organization is also known as: Bern University & UNIBE.
Topics: Population, Medicine, Context (language use), Cancer, Immune system
Papers published on a yearly basis
Papers
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TL;DR: In this paper, it was shown that lepton number conservation, purely left-handed charged weak currents and vanishing neutrino masses are a limiting case of a parity symmetric SU2L × SUR × U2V gauge theory.
4,076 citations
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4,069 citations
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TL;DR: The food-quality iron oxides are primarily distinguished from technical grades by their comparatively low levels of contamination by other metals; this is achieved by the selection and control of the source of the iron or by the extent of chemical purification during the manufacturing process as discussed by the authors.
Abstract: DEFINITION Iron oxides are produced from ferrous sulfate by heat soaking, removal of water, decomposition, washing, filtration, drying and grinding. They are produced in either anhydrous or hydrated forms. Their range of hues includes yellows, reds, browns and blacks. The food-quality iron oxides are primarily distinguished from technical grades by their comparatively low levels of contamination by other metals; this is achieved by the selection and control of the source of the iron or by the extent of chemical purification during the manufacturing process.
3,866 citations
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Technische Universität München1, ETH Zurich2, University of Bern3, Harvard University4, National Institutes of Health5, University of Debrecen6, University Hospital Heidelberg7, McGill University8, University of Pennsylvania9, French Institute for Research in Computer Science and Automation10, University at Buffalo11, Microsoft12, University of Cambridge13, Stanford University14, University of Virginia15, Imperial College London16, Massachusetts Institute of Technology17, Columbia University18, Sabancı University19, Old Dominion University20, RMIT University21, Purdue University22, General Electric23
TL;DR: The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) as mentioned in this paper was organized in conjunction with the MICCAI 2012 and 2013 conferences, and twenty state-of-the-art tumor segmentation algorithms were applied to a set of 65 multi-contrast MR scans of low and high grade glioma patients.
Abstract: In this paper we report the set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 conferences Twenty state-of-the-art tumor segmentation algorithms were applied to a set of 65 multi-contrast MR scans of low- and high-grade glioma patients—manually annotated by up to four raters—and to 65 comparable scans generated using tumor image simulation software Quantitative evaluations revealed considerable disagreement between the human raters in segmenting various tumor sub-regions (Dice scores in the range 74%–85%), illustrating the difficulty of this task We found that different algorithms worked best for different sub-regions (reaching performance comparable to human inter-rater variability), but that no single algorithm ranked in the top for all sub-regions simultaneously Fusing several good algorithms using a hierarchical majority vote yielded segmentations that consistently ranked above all individual algorithms, indicating remaining opportunities for further methodological improvements The BRATS image data and manual annotations continue to be publicly available through an online evaluation system as an ongoing benchmarking resource
3,699 citations
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University of Ottawa1, University of Modena and Reggio Emilia2, Mario Negri Institute for Pharmacological Research3, Ottawa Hospital Research Institute4, University of Oxford5, University of Freiburg6, Veterans Health Administration7, Johnson & Johnson8, Johnson & Johnson Pharmaceutical Research and Development9, McMaster University10, University of Birmingham11, Johns Hopkins University12, University of Bern13, University of Copenhagen14, Medical Research Council15, GlaxoSmithKline16, University of California, San Francisco17, FHI 36018, Cochrane Collaboration19
TL;DR: Provide a structured summary including, as applicable, background, objectives, data sources, study eligibility criteria, participants, interventions, study appraisal and synthesis methods, results, limitations, conclusions and implications of key findings, systematic review registration number 2.
Abstract: Provide a structured summary including, as applicable, background, objectives, data sources, study eligibility criteria, participants, interventions, study appraisal and synthesis methods, results, limitations, conclusions and implications of key findings, systematic review registration number 2 Structured summary
3,655 citations
Authors
Showing all 35931 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Chen | 217 | 4342 | 293080 |
Nahum Sonenberg | 167 | 647 | 104053 |
Marc Weber | 167 | 2716 | 153502 |
Joseph Jankovic | 153 | 1146 | 93840 |
Matthias Egger | 152 | 901 | 184176 |
Markus W. Büchler | 148 | 1545 | 93574 |
Robert J. Glynn | 146 | 748 | 88387 |
Mark A. Rubin | 145 | 699 | 95640 |
Antonio Ereditato | 144 | 1448 | 97008 |
Hans Peter Beck | 143 | 1134 | 91858 |
Kim Nasmyth | 142 | 294 | 59231 |
Tomas Ganz | 141 | 480 | 73316 |
Stephan Windecker | 140 | 1227 | 151063 |
Claude Amsler | 138 | 1454 | 135063 |
Thomas F. Lüscher | 134 | 1560 | 79034 |