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Publications

Displaying results 681 to 690 of 14807.

  1. Xinyu Huang; Franziska Schmelter; Christian Seitzer; Lars Martensen; Hans Otzen; Artur Piet; Oliver Witt; Torsten Schröder; Ulrich Günther; Lisa Marshall; Marcin Grzegorzek; Christian Sina

    Digital biomarkers for interstitial glucose prediction in healthy individuals using wearables and machine learning

    In: Scientific Reports (Sci Rep), Vol. 15, Pages 30164-30164, Nature Publishing Group UK, 8/2025.

  2. Tianming Du; Tao Jiang; Xuanyi Li; Md Mamunur Rahaman; Marcin Grzegorzek; Chen Li

    Prediction of TP53 mutations across female reproductive system pan-cancers using deep multimodal PET/CT radiogenomics

    In: Frontiers in Medicine, Vol. 12, Pages 1608652-1608652, Frontiers Media SA, 9/2025.

  3. Weihua Li; Xinghao Wang; Yiling Wang; Jiani Wang; Xinyu Huang; Marcin Grzegorzek; Qian Chen; Zhenchang Wang; Peng Zhang; Lirong Tang

    Dissecting the Causal Association Between Bulimia Nervosa and Structural Brain Abnormalities: A Two‐Sample Bidirectional Mendelian Randomization Study

    In: Brain and Behavior, Vol. 15, No. 9, Wiley, 9/2025.

  4. Xin Ma; Xiaona He; Yun Wang; Marcin Grzegorzek; Wenjie Long; Hongxi Chen; Fang Gao; Nan Mao; Xinyu Huang

    Role of biomarker SOCS1 in peritoneal dialysis-associated peritoneal fibrosis and immune infiltration based on machine learning screening

    In: Frontiers in Pharmacology, Vol. 16 - 2025, Frontiers Media SA, 10/2025.

  5. 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.

  6. 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.

  7. 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.

  8. Peter Fettke; Chiara Di Francescomarino

    Business Process Management and Artificial Intelligence: Literature Survey and Future Research

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 39, Pages 67-79, Springer Nature, 6/2025.

  9. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    Interpretable and explainable machine learning methods for predictive process monitoring: A systematic literature review

    In: Artificial Intelligence Review, Vol. 58, No. 378, Pages 00-00, Springer, 10/2025.

  10. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    Integrating permutation feature importance with conformal prediction for robust Explainable Artificial Intelligence in predictive process monitorning

    In: Engineering Applications of Artificial Intelligence, Vol. 149, Pages 0-0, Science Direct, 6/2025.

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