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Publications

Displaying results 1481 to 1490 of 15099.

  1. Fabian Schmeisser; Maria Caroprese; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

    How to Box Your Cells: An Introduction to Box Supervision for 2.5D Cell Instance Segmentation and a Study of Applications

    In: Proceedings of the 17th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2025), February 23-25, Porto, Portugal, Vol. 3, SciTePress, 2025.

  2. Ronja Schappert; Julius Verrel; Nele Brügge; Frédéric Li; Theresa Paulus; Leonie Becker; Tobias Bäumer; Christian Beste; Veit Roessner; Sebastian Fudickar; Alexander Münchau

    Automated Video-Based Approach for the Diagnosis of Tourette Syndrome

    In: Movement Disorders - Clinical Practice, Vol. 11, No. 9, Pages 1136-1140, Wiley, 7/2024.

  3. Roland Stenger; Sebastian Loens; Feline Hamami; Nele Brügge; Tobias Bäumer; Sebastian Fudickar

    Extended Head Pose Estimation on Synthesized Avatars for Determining the Severity of Cervical Dystonia

    In: Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - HEALTHINF. International Conference on Health Informatics (HEALTHINF-2023), Pages 354-359, ISBN ISBN 978-989-758-631-6, SciTePress, 2023.

  4. Nele Brügge; Alexandra Korda; Stefan Borgwardt; Christina Andreou; Giorgos Giannakakis; Heinz Handels

    Bag-Level Multiple Instance Learning for Acute Stress Detection from Video Data

    In: Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF. International Conference on Health Informatics (HEALTHINF-2025), February 19-22, Porto, Portugal, ISBN 978-989-758-731-3, SciTePress, 2025.

  5. T. Vincent; F. Wahren; Jan Peters; B. Belousov; C. D'Eramo

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    In: ICML Workshop on Automated Reinforcement Learning. International Conference on Machine Learning (ICML-2024), ICML, 2024.

  6. F. Al-Hafez; G. Zhao; Jan Peters; D. Tateo

    Time-Efficient Reinforcement Learning with Stochastic Stateful Policies

    In: 17th European Workshop on Reinforcement Learning (EWRL 2024). European Workshop on Reinforcement Learning (EWRL-2024), EWRL, 2024.

  7. N. Funk; J. Urain; J. Carvalho; V. Prasad; G. Chalvatzaki; Jan Peters

    ActionFlow: Efficient, Accurate, and Fast Policies with Spatially Symmetric Flow Matching

    In: R:SS workshop: Structural Priors as Inductive Biases for Learning Robot Dynamics. Robotics: Science and Systems (RSS-2024), R:SS, 2024.

  8. N. Bohlinger; D. Tateo; P. Kicki; K. Walas; Jan Peters

    Benefits of an Actuated Spine in Agile Quadruped Locomotion

    In: ICRA 2024 Workshop on Bio-inspired Robotics and Robotics for Biology. IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2024.

  9. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Markus Junker; Juan Pablo Vesga; Werner Seiz; Juergen Scheele; Andreas Dengel; Axel Haferkamp; Thomas Höfner

    First preliminary results of artificial intelligence generated treatment recommendations for urothelial cancer based on multidisciplinary cancer conferences from the KITTU project

    In: Annals of Oncology, Vol. 35, No. S2, Pages 1161-1161, ESMO, 9/2024.

  10. Gregor Duwe; Verena Kauth; Kerstin Moench; Dominique Mercier; Markus Junker; Juergen Scheele; Werner Seiz; Oliver Pfante; Juan Pablo Vesga Simmins; Natasja De Bruin; Axel Haferkamp; Andreas Dengel; Thomas Höfner

    KITTU: Artificial intelligence supports multidisciplinary cancer conferences – first steps towards revolutionizing clinical decision making in oncology

    In: Reinhard Büttner (Hrsg.). Oncology Research and Treatment, Vol. 47, No. Supl. 1 - 36. Deutscher Krebskongress - Fortschritt gemeinsam gestalten, Pages 20-20, Karger Publishers, 2/2024.

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