Anzeige nach Organisationseinheit Institut für Computational Life Sciences (ICLS)

Gehe zu: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
oder geben Sie die Anfangszeichen ein:  

Anzeige der Treffer 255 bis 274 von 348 < zurück   nächste >
ErscheinungsdatumTitelBeteiligte Person(en)
26-Jun-2023Radiological feature heterogeneity supports etiological diversity among patient groups in Meniere's diseaseBächinger, David; Filidoro, Noemi; Naville, Marc; Juchler, Norman; Kurtcuoglu, Vartan, et al.
17-Mär-2020Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysmsJuchler, Norman; Schilling, Sabine; Glüge, Stefan; Bijlenga, Philippe; Rüfenacht, Daniel, et al.
2019Real and assumed insights : statistical models and imaging biomarkers for disease characterization of intracranial aneurysmsHirsch, Sven; Juchler, Norman
Apr-2024Reduktion potenzieller Schadensmengen entlang der Kakao-Supply-ChainDerman, Melih; Hollenstein, Lukas
12-Jul-2018Reproducing qualitative irregularity ratings by means of quantitative shape descriptors in intracranial aneurysmsJuchler, Norman; Schilling, Sabine; Philippe, Bijlenga; Rüfenacht, Daniel; Kurtcuoglu, Vartan, et al.
Nov-2023Robust drone detection and classification from radio frequency signals using convolutional neural networksGlüge, Stefan; Nyfeler, Matthias; Ramagnano, Nicola; Horn, Claus; Schüpbach, Christof
2011"Sales Forecast Frische" : Forschungsprojekt für die Absatzprognose : TagungsreferatBurkhard, Marcel
2013Scenario planning with integrated quantification : managing uncertainty in corporate strategy buildingHirsch, Sven; Burggraf, Paul; Daheim, Cornelia
2019Selection acting on genomesKosiol, Carolin; Anisimova, Maria
Nov-2020Self-organized division of labor in networks of forecasting models for time series with regime switchesGygax, Gregory; Füchslin, Rudolf Marcel; Ott, Thomas
2022Self-organizing maps of artificial neural classifiers : a brain-like pin factoryVachey, Gabriel; Ott, Thomas
2019Semantic integration and enrichment of heterogeneous biological databasesSima, Ana-Claudia; Stockinger, Kurt; de Farias, Tarcisio Mendes; Gil, Manuel
2009Semi-supervised classifiaction with single-layer isingtronsMürset, Urs; Ott, Thomas
2019Sentiment analysis of European bonds 2016 - 2018Schwendner, Peter; Schüle, Martin; Hillebrand, Martin
2008Sequential superparamagnetic clustering as a predictor of visual fixationsJasa, Tom; Stoop, Ruedi; Ott, Thomas; Lanz, Thomas
4-Jun-2020Shape irregularity of the intracranial aneurysm lumen exhibits diagnostic valueJuchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Morel, Sandrine; Rüfenacht, Daniel, et al.
3-Mai-2022Shape trumps size : image-based morphological analysis reveals that the 3D shape discriminates intracranial aneurysm disease status better than aneurysm sizeJuchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven
27-Aug-2020Shape-based analysis of intracranial aneurysmsKurtcuoglu, Vartan; Hirsch, Sven; Pajarola, Renato; Juchler, Norman
15-Sep-2016Shape-based assessment of intracranial aneurysm disease statusJuchler, Norman; Schilling, Sabine; Vartan, Kurtcuoglu; Hirsch, Sven
1-Sep-2016Shape-based assessment of intracranial aneurysm disease status – a machine learning approachJuchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven