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AI in Medical Image and Signal Processing

Publications

Page 1 of 10.

  1. Finetuning medical vision‑language models for interpretable and fine‑grained disease classification

    In: Medical Imaging 2026: Computer-Aided Diagnosis. SPIE Medical Imaging (SPIE-2026), February 15-19, Vancouver, British Columbia, Canada, SPIE, 2/2026.

  2. Sofija Engelson; Yannic Elser; Malte Maria Sieren; Jan Ehrhardt; Julia Andresen; Stefanie Schierholz; Tobias Keck; Daniel Drömann; Jörg Barkhausen; Heinz Handels

    Deep learning-based mediastinal lymph node assessment on PET/CT images without pixel-level annotations

    In: Journal of Medical Imaging (JMI), Vol. 13, No. 1, Pages 1-18, SPIE, 2/2026.

  3. Robert Simon Schiff; Natalie Kohler; Mareike Böckel; Ralf Möller; Sebastian Wolfrum; Mattis Hartwig

    Early Prediction of Hospital Admission and Specialty for Proactive Bed Allocation in the Emergency Department

    In: npj Digital Medicine, Nature Portfolio, 1/2026.

  4. Julius Verrel; Ronja Schappert; Nele Brügge; Tina Steinhagen; Tobias Bäumer; Yifan Hao; Roland Stenger; Christian Beste; Sebastian Fudickar; Veit Roessner; Alexander Münchau

    Eye blinking abnormalities in Tourette syndrome: Blink more or blink differently?

    In: Parkinsonism & Related Disorders, Vol. 142, No. 108121, Pages 1-4, Elsevier, 1/2026.

  5. Nina Wiegers; Sebastian Germer; Christiane Rudolph; Natalie Rath; Katharina Rausch; Alexander Katalinic; Heinz Handels

    Evaluating Imputation Techniques for Survival Data Utilizing Kaplan-Meier Curves

    In: Ursula H. Hübner; Jan-David Liebe; Arriel Benis; Nicole Egbert; Thomas Engelsma; Parisis Gallos; Daniel Flemming; Valentina Lichtner; Romaric Marcilly; Oscar Tamburis; Sidsel Villumsen (Hrsg.). Good Evaluation - Better Digital Health. EFMI Special Topic Conference (EFMI STC-2025), October 20-22, Osnabrück, Germany, Pages 17-21, Studies in Health Technology and Informatics, Vol. 332, ISBN 978-1-64368-629-5, IOS Press, 10/2025.

  6. Jan Speller; Malte Luttermann; Marcel Gehrke; Tanya Braun

    Towards Explainability of Approximate Lifted Model Construction: A Geometric Perspective

    In: Sylvia Melzer; Hagen Peukert; Stefan Thiemann; Magnus Bender; Özgür L. Özçep; Nele Russwinkel; Kai Sauerwald; Diedrich Wolter (Hrsg.). Proceedings of the Joint Workshop on Humanities-Centred Artificial Intelligence and Formal & Cognitive Reasoning co-located with 48th German Conference on Artificial Intelligence. Joint Workshop on Humanities-Centred Artificial Intelligence and Formal & Cognitive Reasoning (CHAI and FCR-2025), located at 48th German Conference on Artificial Intelligence (KI-2025), September 16-19, Potsdam, Germany, Pages 41-56, Vol. 4058, CEUR, 10/2025.

  7. Jan Speller; Malte Luttermann; Marcel Gehrke; Tanya Braun

    Compression Versus Accuracy: A Hierarchy of Lifted Models

    In: Inês Lynce; Nello Murano; Mauro Vallati; Serena Villata; Federico Chesani; Michela Milano; Andrea Omicini; Mehdi Dastani (Hrsg.). Proceedings of the Twenty-Eighth European Conference on Artificial Intelligence. European Conference on Artificial Intelligence (ECAI-2025), October 25-30, Bologna, Italy, Pages 5051-5058, Vol. 413, IOS Press, 10/2025.

  8. Malte Luttermann; Jan Speller; Marcel Gehrke; Tanya Braun; Ralf Möller; Mattis Hartwig

    Approximate Lifted Model Construction

    In: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2025), August 16-22, Montreal, QC, Canada, Pages 9077-9085, Vol. 34, IJCAI Organization, 8/2025.

  9. Comparison of Models for EEG-based Cross-Subject Movement Prediction

    In: Heinz Handels; S. Müller; M. Kallinger; C. Hübner; P. Rostalski; N. Bunzeck (Hrsg.). Student Conference Proceedings, Vol. 1, No. 1, Pages 1-4, Infinite Science Publishing, 8/2025.

  10. Malte Luttermann; Ralf Möller; Marcel Gehrke

    Lifted Model Construction Without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs

    In: Guy Wolf; Smita Krishnaswamy (Hrsg.). Proceedings of the Third Learning on Graphs Conference (LoG-2024). Learning on Graphs Conference (LoG-2024), November 26-29, Virtual, Pages 46:1-46:17, Vol. 269, PMLR, 7/2025.

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