Evelyn Herrmann

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Papers (4)

1. Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction cs.CV · 2018 · author #5
2. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge cs.CV · 2018 · author #133
3. Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation cs.CV · 2018 · author #4
4. On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation cs.CV · 2018 · author #5

Mentions

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Frequent Coauthors

• Alain Jungo 4 shared papers
• Mauricio Reyes 4 shared papers
• Raphael Meier 3 shared papers
• Roland Wiest 3 shared papers
• Ekin Ermis 2 shared papers
• Michael Rebsamen 2 shared papers
• Urspeter Knecht 2 shared papers
• Aaron Avery 1 shared papers
• Aaron S. Jackson 1 shared papers
• Abhijit Amrutkar 1 shared papers
• Abhishek Mahajan 1 shared papers
• Adel Kermi 1 shared papers
• Adri\`a Casamitjana 1 shared papers
• Ahana Roy Choudhury 1 shared papers
• Aikaterini Kotrotsou 1 shared papers
• Ajeet Vivekanandan 1 shared papers
• Albert Cerigues 1 shared papers
• Albert Cl\'erigues 1 shared papers
• Alberto Albiol 1 shared papers
• Alessandro Crimi 1 shared papers