Machine Learning & Image Analysis

Image Analysis

The Orbit Image Analysis is a versatile image-based quantification program for biology and digital pathology. It can be found here.

Publications

  • Carina Lotz-Jenne, Urs Lüthi, Sabine Ackerknecht, François Lehembre, Tobias Fink, Manuel Stritt, Matthias Wirth, Simona Pavan, Ruben Bill, Urs Regenass, Gerhard Christofori, Nathalie Meyer-Schaller (2016): A high-content EMT screen identifies multiple receptor tyrosine kinase inhibitors with activity on TGFß receptor, Oncotarget. 2016 Mar 27. doi: 10.18632/oncotarget.8418
  • Shanon Seger, Manuel Stritt, Kathrin Doppler, Stephan Frank, Adrian Panaite, Thierry Kuntzer, Andreas Steck, Axel Pagenstecher, Claudia Sommer and Anna K Stalder (2015): A semi-automated method to assess intraepidermal nerve fibre density in human skin biopsies, Histopathology DOI: 10.1111/his.12794
  • Manuel Stritt, Roman Bär, Joël Freyss, Julia Marrie, Enrico Vezzali, Edgar Weber, Anna Stalder (2011): Supervised Machine Learning Methods for Quantification of Pulmonary Fibrosis, 6th International Conference on Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry (MDA 2011), New York, August 2011, ibai-publishing
  • Yasmina Bauer, Patrick Hess, Changbin Qiu, Axel Klenk, Bérengère Renault, Daniel Wanner, Rolf Studer, Nina Killer, Anna Stalder, Manuel Stritt, Daniel Strasser, Hervé Farine, Katalin Kauser, Martine Clozel, Walter Fischli, Oliver Nayler (2011): Identification of cathepsin l as a potential sex-specic biomarker for renal damage. Hypertension 57, 795-801 (2011)
  • Modest von Korff, Christian Rufener, Manuel Stritt, Joel Freyss, Roman Bär, Thomas Sander (2011): Integration of Distributed Computing Into the Drug Discovery Process, Expert Opinion on Drug Discovery 6(2), 103-107 (February 2011)
  • Manuel Stritt, Gerhard Pöppel, Lars Schmidt-Thieme (2007): Combining Multi-distributed Mixture Models and Bayesian Networks for Semi-Supervised Learning, International Conference on Machine Learning and Applications (ICMLA’07), Cincinnati, Ohio, IEEE
  • Manuel Stritt, Karen Tso, Lars Schmidt-Thieme (2006): Attribute-Aware Anonymous Recommender Systems, in Proceedings of 30th Annual Conference of the Gesellschaft für Klassifikation (GfKl) 2006, Berlin, Springer
  • Jochen Fischer, Zeno Gantner, Steffen Rendle, Manuel Stritt, Lars Schmidt-Thieme (2006): Ideas and Improvements for Semantic Wikis, in Proceedings of the third European Semantic Web Conference (ESWC 2006), Budva, Montenegro, Springer
  • Manuel Stritt, Karen Tso, Lars Schmidt-Thieme, Dirk Schwarz (2005): Anonymous Recommender Systems, ÖGAI Journal Jahrgang 2005, Nr. 4:4-11.
  • Manuel Stritt: Sicherheitsmechanismen im Zusammenspiel mit .NET Remoting, dotnetpro 12/2005 S. 78-86
  • Steffen Rendle, Manuel Stritt: Effiziente Datenstrukturen für 3D-Grafiken, Der Entwickler, 1/03 S. 87-90
  • Manuel Stritt, Steffen Rendle: Darstellung komplexer Grafiken mit Delphi und OpenGL, Der Entwickler, 6/02 S. 50-58
  • Steffen Rendle, Manuel Stritt: Einführung in die OpenGL-Programmierung mit Delphi, Der Entwickler, 5/02 S. 47-54