Skip to main content Skip to main navigation

Head of the Research Department Interactive Machine Learning

Prof. Dr.-Ing. Daniel Sonntag

Organizational unit Interactive Machine Learning
Contact +49 681 85775 5254 (Saarbrücken)

https://www.dfki.de/~sonntag
Address (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 366123 Saarbrücken Address (Oldenburg) Technologie- und Gründerzentrum OldenburgMarie-Curie-Str. 126129 Oldenburg
Prof. Dr.-Ing. Daniel Sonntag

Publications

All publications
  1. Towards Interpretable Radiology Report Generation via Concept Bottlenecks Using a Multi-agentic RAG

    Hasan Md Tusfiqur Alam; Devansh Srivastav; Md Abdul Kadir; Daniel Sonntag

    In: Claudia Hauff; Craig Macdonald; Dietmar Jannach; Gabriella Kazai; Franco Maria Nardini; Fabio Pinelli; Fabrizio Silvestri; Nicola Tonellotto (Hrsg.). Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III. European Conference on Information Retrieval (ECIR-2025), 47th European Conference on…

Profile

  • NoIDLEChatGPT

    No-IDLE meets ChatGPT

    Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI)…

    NoIDLEChatGPT
  • No-IDLE

    Interactive Deep Learning Enterprise

    In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical…

    No-IDLE
  • MASTER

    MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

    Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the…

    MASTER
  • Ophthalmo-AI

    Intelligent, Cooperative Medical Decision Support in Ophthalmology

    The goal of Ophthalmo-AI is to develop better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine and human expertise (Interactive Machine Learning…

    Ophthalmo-AI
  • pAItient

    Protected Artificial Intelligence Innovation Environment for Patient Oriented Digital Health Solutions for developing, testing and evidence based evaluation of clinical value.

    Developments in recent years, such as low-cost hardware for enormous computing power and machine learning techniques, have given AI new impetus in medicine as well, and in many medical application…

Show all projects