KI in der medizinischen Bild- und Signalverarbeitung

Seite 1 von 7.

1. Malte Luttermann; Ralf Möller; Marcel Gehrke

   Lifting Factor Graphs with Some Unknown Factors for New Individuals

   In: Zied Bouraoui; Srdjan Vesic (Hrsg.). International Journal of Approximate Reasoning (IJAR), Vol. 179, No. 04/2025 (article 109371), Pages 1-28, Elsevier, 4/2025.

2. Reuben Dorent; Roya Khajavi; Tagwa Idris; Erik Ziegler; Bhanusupriya Somarouthu; Heather Jacene; Ann LaCasce; Jonathan Deissler; Jan Ehrhardt; Sofija Engelson; Stefan M. Fischer; Yun Gu; Heinz Handels; Satoshi Kasai; Satoshi Kondo; Klaus Maier-Hein; Julia A. Schnabel; Guotai Wang; Litingyu Wang; Tassilo Wald; Guang-Zhong Yang; Hanxiao Zhang; Minghui Zhang; Steve Pieper; Gordon Harris; Ron Kikinis; Tina Kapur

   LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification

   In: Steve Pieper; Erik Ziegler; Tawa Idris; Bhanusupriya Somarouthu; Reuben Dorent; Gordon Harris; Ron Kikinis (Hrsg.). Machine Learning for Biomedical Imaging (MELBA), Vol. 3, Pages 1-15, MELBA Journal, 2/2025.

3. Malte Luttermann; Tanya Braun; Ralf Möller; Marcel Gehrke

   Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs

   In: Sébastien Destercke; Maria Vanina Martinez; Giuseppe Sanfilippo (Hrsg.). Proceedings of the Sixteenth International Conference on Scalable Uncertainty Management. International Conference on Scalable Uncertainty Management (SUM-2024), November 27-29, Palermo, Italy, Pages 265-280, Vol. 15350, Springer, 11/2024.

4. Marco Maass; Tobias Kluth; Christine Droigk; Hannes Albers; Konrad Scheffler; Alfred Mertins; Tobias Knopp

   Equilibrium Model With Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging

   In: IEEE Transactions on Computational Imaging, Vol. 10, Pages 1588-1601, IEEE, 11/2024.

5. Malte Luttermann; Johann Machemer; Marcel Gehrke

   Efficient Detection of Commutative Factors in Factor Graphs

   In: Proceedings of the Twelfth International Conference on Probabilistic Graphical Models (PGM-2024). International Conference on Probabilistic Graphical Models (PGM-2024), September 11-13, Nijmegen, Netherlands, Pages 38-56, Vol. 246, PMLR, 9/2024.

6. Malte Luttermann; Ralf Möller; Mattis Hartwig

   Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models

   In: Andreas Hotho; Sebastian Rudolph (Hrsg.). Proceedings of the Forty-Seventh German Conference on Artificial Intelligence. German Conference on Artificial Intelligence (KI-2024), September 25-27, Würzburg, Germany, Pages 175-189, Vol. 14992, Springer, 8/2024.

7. Sebastian Germer; Christiane Rudolph; Louisa Labohm; Alexander Katalinic; Natalie Rath; Katharina Rausch; Bernd Holleczek; AI-Care Working Group; Heinz Handels

   Survival analysis for lung cancer patients: A comparison of Cox regression and machine learning models

   In: International Journal of Medical Informatics (IJMEDI), Vol. 191, Pages 105607-105607, Elsevier, 8/2024.

8. Sebastian Germer; Christiane Rudolph; Alexander Katalinic; Natalie Rath; Katharina Rausch; Heinz Handels

   KI-basierte Analyse von Krebsregisterdaten

   In: Anja Mehnert-Theuerkauf (Hrsg.). Forum - Das offizielle Magazin der Deutschen Krebsgesellschaft e.V. Pages 1-5, Springer Nature, 6/2024.

9. Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Heinz Handels

   LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas

   In: ArXiv e-prints (arxiv), Vol. arXiv:2406.03984, Pages 1-17, arXiv, 6/2024.

10. Malte Luttermann; Johann Machemer; Marcel Gehrke

    Efficient Detection of Exchangeable Factors in Factor Graphs

    In: Proceedings of the Thirty-Seventh International FLAIRS Conference. International FLAIRS Conference (FLAIRS-2024), May 19-21, Miramar Beach, FL, USA, Vol. 37, Florida Online Journals, 5/2024.

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