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Publications

Displaying results 31 to 40 of 14833.

  1. Runmin Li; Lin Wang; Xinghao Wang; Marcin Grzegorzek; An-Tian Chen; Xubin Quan; Zhaohui Hu; Xiaozhu Liu; Yang Zhang; Tianyu Xiang; Yingang Zhang; Anfa Chen; Hao Jiang; Xuewen Hou; Qizhong Xu; Weiheng He; Liang Chen; Xin Zhou; Qiang Zhang; Wei Huang; Haopeng Luan; Xinghua Song; Xiaolin Yu; Xiangdong Xi; Kai Wang; Shi-Nan Wu; Wencai Liu; Yusi Zhang; Jialiang Zheng; Chengliang Yin; Qiang Liu; Haizhen Ding; Chan Xu; Hongmou Zhao; Liang Yan; Wenle Li

    Development of machine learning model for predicting prolonged operation time in lumbar stenosis undergoing posterior lumbar interbody fusion: a multicenter study

    In: The Spine Journal, Vol. 25, No. 3, Pages 460-473, Elsevier, 2025.

  2. Jinghua Zhang; Chen Li; Marco Cristani; Hongzan Sun; Marcin Grzegorzek; Huiling Chen

    WP-FSCIL: A Well-Prepared Few-shot Class-incremental Learning Framework for Pill Recognition

    In: IEEE Journal of Biomedical and Health Informatics (JBHI), Pages 1-14, IEEE Engineering in Medicine and Biology Society, 3/2025.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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