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Publikationen

Seite 1 von 2.

  1. Robert Leist; Hans-Jürgen Profitlich; Daniel Sonntag

    An AI-driven Clinical Decision Support System for the Treatment of Diabetic Retinopathy and Age-related Macular Degeneration

    In: Joint Proceedings of the ACM IUI Workshops 2025. Workshop on Intelligent and Interactive Health User Interfaces (HealthIUI-2025), located at IUI-2025, March 24, Cagliary, Italy, Association of Computing Machinery, New York, NY, United States, 5/2025.

  2. Robert Leist; Hans-Jürgen Profitlich; Tim Hunsicker; Daniel Sonntag

    Towards Trustable Clinical Decision Support Systems: A User Study with Ophthalmologists

    In: IUI '25: Proceedings of the 30th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces (IUI-2025), March 24-27, Cagliari, Italy, ISBN 979-8-4007-1306-4, Association for Computing Machinery, New York, NY, United States, 3/2025.

  3. Siting Liang; Pablo Valdunciel Sánchez; Daniel Sonntag

    Optimizing Relation Extraction in Medical Texts through Active Learning: A Comparative Analysis of Trade-offs

    In: Association for Computational Linguistics. Conference of the European Chapter of the Association for Computational Linguistics (EACL-2024), March 17-22, St. Julians, Malta, ACL Anthology, 2024.

  4. Siting Liang; Hans-Jürgen Profitlich; Maximilian Klass; Niko Möller-Grell; Celine-Fabienne Bergmann; Simon Heim; Christian Niklas; Daniel Sonntag

    Building A German Clinical Named Entity Recognition System without In-domain Training Data

    In: Association for Computational Linguistics. Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL-2024), June 17-21, Mexico City, Mexico, ACL Anthology, 2024.

  5. Ho Minh Duy Nguyen; Hasan Md Tusfiqur Alam; Tai Nguyen; Devansh Srivastav; Hans-Jürgen Profitlich; Ngan Le; Daniel Sonntag

    Deep Learning for Ophthalmology - The State-of-the-Art and Future Trends

    DFKI, DFKI Research Reports (RR), Vol. 01, 2024.

  6. Ho Minh Duy Nguyen; Hoang Nguyen; Nghiem T. Diep; Tan Pham; Tri Cao; Binh T. Nguyen; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert

    LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

    In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), December 10-16, USA, Advances in Neural Information Processing Systems, 12/2023.

  7. Ho Minh Duy Nguyen; Tan Pham; Nghiem Tuong Diep; Nghi Phan; Quang Pham; Vinh Tong; Binh T. Nguyen; Ngan Hoang Le; Nhat Ho; Pengtao Xie; Daniel Sonntag; Mathias Niepert

    On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation

    In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models, December 10-16, Advances in Neural Information Processing Systems, 12/2023.

  8. Ho Minh Duy Nguyen; Hoang Nguyen; Mai T. N. Truong; Tri Cao; Binh T. Nguyen; Nhat Ho; Paul Swoboda; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag

    Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering

    In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2023). AAAI Conference on Artificial Intelligence (AAAI), February 7-14, Washington, DC, USA, AAAI Press, 2/2023.

  9. Md Abdul Kadir; Gowthamkrishna Addluri; Daniel Sonntag

    Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency

    In: Dietmar Seipel; Alexander Steen. German Conference on Artificial Intelligence. Pages 90-97, Lecture Notes in Computer Science, ISBN 978-3-031-42607-0, Springer, Cham, 2023.

  10. Md Abdul Kadir; Hasan Md Tusfiqur Alam; Daniel Sonntag

    EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation

    In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Medical Image Computing and Computer Assisted Intervention (MICCAI-2023), Pages 79-89, Springer, Cham, 2023.