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Publikationen

Zeige Ergebnisse 641 bis 650 von 14470.
  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. Mandala von Westenholz; Mika Patzelt; Tim Römer; Martin Atzmueller

    Generalizing Local Pattern Mining on Attributed Graphs using Simplicial Complex Abstraction

    In: Hocine Cherifi; Murat Donduran; Luis M. Rocha; Chantal Cherifi; Onur Varol (Hrsg.). Complex Networks & Their Applications XIII - Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 1. International Conference on Complex Networks and their Applications (COMPLEX NETWORKS-2024), December 10-12, Istanbul, Turkey, Pages 298-311, Studies in Computational Intelligence (SCI), Vol. 1187, Springer, 2025.

  7. Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis

    In: Pascal Hitzler; Abhilekha Dalal; Mohammad Saeid Mahdavinejad; Sanaz Saki Norouzi (Hrsg.). Handbook on Neurosymbolic AI and Knowledge Graphs. Pages 1-25, ISBN 9781643685786, IOS Press, 3/2025.

  8. Philipp Schlinge; Steffen Meinert; Martin Atzmueller

    Comprehensive evaluation of prototype neural networks

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. online, Pages 1-20, Springer, 2025.

  9. Andreas Schliebitz; Heiko Tapken; Martin Atzmueller

    An Empirical Study on Improving SimCLR's Nonlinear Projection Head Using Pretrained Autoencoder Embeddings

    In: Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI). International Conference on Tools with Artificial Intelligence (AAAI SSS), Los Alamitos, CA, USA, Pages 1140-1146, IEEE Computer Society, 2025.

  10. Arnab Ghosh Chowdhury; Amos Smith; Martin Atzmueller

    Enhancing Convolutional Block Attention with Self-Attention on Agricultural Image Classification

    In: Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI). International Conference on Tools with Artificial Intelligence (AAAI SSS), Los Alamitos, CA, USA, Pages 402-407, IEEE Computer Society, 2025.