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Publikationen

Zeige Ergebnisse 671 bis 680 von 14648.

  1. Zhuonan Liu; Dhirendra Mouni; Shimin Zhang; Tianming Du; Chen Li; Marcin Grzegorzek; Hongzan Sun

    Predicting the early response to neoadjuvant chemotherapy in high-grade serous ovarian cancer by intratumoral habitat heterogeneity based on 18F-FDG PET/CT

    In: European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI), Vol. 52, Pages 1-13, Springer Nature, 8/2025.

  2. Zhenwei Zhai; Chen Li; Zihao Wang; Marcin Grzegorzek; Lin Xu; Linshuai Zhang; Yujie Zhang; Pengfei Zeng; Ji Yin; Jing Guo; Tao Sun; Tao Jiang

    MEMI-DS: A Benchmark Melasma Image Dataset for Image Segmentation

    In: Advanced Data Mining and Applications - 21st International Conference, ADMA 2025 - Proceedings. International Conference on Advanced Data Mining and Applications (ADMA-2025), October 22-24, Kyoto, Japan, Pages 419-430, Lecture Notes in Computer Science (LNCS), Vol. 16198, ISBN 978-981-95-3456-2, Springer Nature, Singapore, 10/2025.

  3. Rui Li; Tao Jiang; Hao Xu; Marcin Grzegorzek; Xiaoyan Li; Chen Li

    TGMT-FSL: Text-Guided Multi-task Framework for Few-Shot Learning of Histopathological Image Analysis

    In: Advanced Data Mining and Applications - 21st International Conference, ADMA 2025 - Proceedings. International Conference on Advanced Data Mining and Applications (ADMA-2025), October 22-24, Kyoto, Japan, Pages 408-418, Lecture Notes in Computer Science (LNCS), Vol. 16198, ISBN 978-981-95-3456-2, Springer Nature, Singapore, 10/2025.

  4. Shange Wang; Lin Xu; Linshuai Zhang; Yujie Zhang; Chen Li; Marcin Grzegorzek; Jing Guo; Tao Jiang

    HHBSNet: a global channel–spatial attention and multi-scale dilated convolution network for automatic melasma segmentation

    In: Frontiers in Physiology, Vol. 16 - 2025, Frontiers Media SA, 11/2025.

  5. Frank Ehebrecht; Toni Scharle; Martin Atzmueller

    Constructing Neural Forms for Hard-Constraint PINNs with Complex Dirichlet Boundaries

    In: Rosa Meo; Fabrizio Silvestri (Hrsg.). Machine Learning and Principles and Practice of Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-WS), Cham, Pages 501-510, ISBN 978-3-031-74633-8, Springer Nature Switzerland, 2025.

  6. Rezaul Tutul; Ilona Buchem; André Jakob; Niels Pinkwart

    Technology Acceptance in University Robot-Supported Quiz-Based Learning: Verbal-Only Versus Multimodal Feedback With Sound Input

    In: IEEE Access (IEEE), Vol. 14, Pages 956-965, IEEE, 12/2025.

  7. Lilian Löwenau; Niels Pinkwart; Robert Jäschke; Andreas Vollmer; Elisabeth Mayweg; Torsten Hiltmann; Wolfgang Deicke

    AI-SKILLS-Anwendungsorientierte Infrastruktur für KI-Communities in Lehr-Lern-Settings

    Abschlussbericht, Technische Informationsbibliothek, 11/2025.

  8. Nghia Duong-Trung; Xia Wang; Rahul Rajkumar Bhoyar; Angelin Mary Jose; Silke Elisabeth Wrede; Lars van Rijn; Theresa Panse; Claudia de Witt; Niels Pinkwart

    Knowledge Scaffolding Recommendation System for Supervising Term Papers

    In: Two Decades of TEL. From Lessons Learnt to Challenges Ahead. European Conference on Technology Enhanced Learning (EC-TEL-2025), 20th European Conference on Technology Enhanced Learning, located at EC-TEL 2025, September 15-19, United Kingdom, Pages 138-152, ISBN 978-3-032-03870-8, Springer Nature Switzerland, 9/2025.

  9. Niels Pinkwart

    Verbundprojekt: Die Lernplattform für Künstliche Intelligenz-KI-Campus 2.0; Teilvorhaben: HU Berlin

    Abschlussbericht, KI-Campus / Stifterverband für die Deutsche Wissenschaft, DFKI Documents (D), 8/2025.

  10. Leo Sylvio Rüdian; Yassin Elsir; Marvin Kretschmer; Sabine Cayrou; Niels Pinkwart

    Feedback Indicators: The Alignment between Llama and a Teacher in Language Learning

    8/2025.

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