Research Projects

Research Projects

Enhancing PLANETBRAIN every day

Enhancing PLANETBRAIN every day

Recent progress in the areas of Artificial Intelligence (AI) and Machine Learning (ML) are tremendous. Almost monthly, we see reports announcing breakthroughs in different technological aspects of AI.

As an organization focussing on research and development, we can look back on an increasing number of research projects.

Publicly funded Research Projects

Goal: Real-time artificial intelligence annotation of multimodality endoscopy images in pancreatic cancer, allowing tumor cells to be detected during the examination and treated or removed directly

Duration: 3 years

Partner: PolyDiagnost GmbH, University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Faculty Engineering & Health of the University of Allied Science and Arts

Goal: Holistic view of data from several contexts (user data and control data), which has mostly been collected and processed seperatel up to now, and to evaluate it in a uniform system and software architecture

Duration: 3 years

Partner: EvoLogics GmbH, IAV GmbH, Fraunhofer IGD, University of Rostock, IOW

Goal: Extend existing environmental monitoring methods of aquatic habitats by new innovative analytical methods based on microbial nucleic acids (16S rRNA genes) and freely available environmental nucleic acids (eDNA; 18S rRNA genes) from water samples

Duration: 3 years

Partner: Leibnitz Institute for Baltic Sea Research Warnemünde, IOW, LGC Genomics, Hydrobios, Fraunhofer IGD

Goal: Evaluation of imaging modalities (X-ray, CT, MRI) using an AI assistant with a focus on thoracic scans and reasonable/explainable AI

Duration: 3 years

Partner: University of Rostock

Goal: Content understanding of historical texts and extraction of content (Named Entities, Information Extraction, Token Labeling)

Duration: 3 years

Partner: University of Rostock, University of La Rochelle, Austrian National Library, University of Helsinki, University of Innsbruck, National Library of France, University of Montpellier, University of Vienna

Goal: Recognition of historical handwritten texts (European cultural heritage 1500 – 1800)

Duration: 3 years

Partner: University of Rostock, University of Greifswald, National Archives Finland, University of Erlangen-Nuremberg, University of Innsbruck, University of Valencia, University of Edinburgh, National Archives Norway, Swedish National Archives, University of Vienna

Goal: Algorithms for automatic full text recognition in handwritten historical documents

Duration: 3 years

Partner: University of Rostock

Goal: Self-organizing recurrent neural networks for language processing

Duration: 3 years

Partners: University of Graz, INSERM, University of Ghent, Jacobs University Bremen