Hasil Pencarian - Anjia Han

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  1. 1
    GSK3beta is involved in JNK2-mediated beta-catenin inhibition.

    GSK3beta is involved in JNK2-mediated beta-catenin inhibition. oleh Dong Hu, Xiuli Bi, Wenfeng Fang, Anjia Han, Wancai Yang

    Diterbitkan 2009-08-01
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  2. 2
    Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images

    Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images oleh Yiqing Liu, Qiming He, Hufei Duan, Huijuan Shi, Anjia Han, Yonghong He

    Diterbitkan 2022-08-01
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  3. 3
    Pathological and Prognostic Characterization of Craniopharyngioma Based on the Expression of TrkA, β-Catenin, Cell Cycle Markers, and BRAF V600E Mutation

    Pathological and Prognostic Characterization of Craniopharyngioma Based on the Expression of TrkA, β-Catenin, Cell Cycle Markers, and BRAF V600E Mutation oleh Cheng Xu, Songhan Ge, Juanxian Cheng, Huabin Gao, Fenfen Zhang, Anjia Han

    Diterbitkan 2022-05-01
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  4. 4
    Clinicopathological Features of Meningioangiomatosis Associated with Meningioma: A Case Report with Literature Review

    Clinicopathological Features of Meningioangiomatosis Associated with Meningioma: A Case Report with Literature Review oleh Huajuan Cui, Huijuan Shi, Xiaodong Chen, Wei Wang, Riquan Lai, Anjia Han

    Diterbitkan 2012-01-01
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  5. 5
    Development and Validation of a Ferroptosis-Related Gene Signature and Nomogram for Predicting the Prognosis of Esophageal Squamous Cell Carcinoma

    Development and Validation of a Ferroptosis-Related Gene Signature and Nomogram for Predicting the Prognosis of Esophageal Squamous Cell Carcinoma oleh Jiecheng Ye, Yining Wu, Heyuan Cai, Li Sun, Wanying Deng, Ruikun Liang, Anjia Han

    Diterbitkan 2021-10-01
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  6. 6
    Pan-cancer analysis of oncogenic role of Programmed Cell Death 2 Like (PDCD2L) and validation in colorectal cancer

    Pan-cancer analysis of oncogenic role of Programmed Cell Death 2 Like (PDCD2L) and validation in colorectal cancer oleh Huabin Gao, Cheng Xu, Jiangtao Liang, Songhan Ge, Fenfen Zhang, Ying Tuo, Huijuan Shi, Anjia Han

    Diterbitkan 2022-02-01
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  7. 7
    Invasive carcinoma segmentation in whole slide images using MS-ResMTUNet

    Invasive carcinoma segmentation in whole slide images using MS-ResMTUNet oleh Yiqing Liu, Huijuan Shi, Qiming He, Yuqiu Fu, Yizhi Wang, Yonghong He, Anjia Han, Tian Guan

    Diterbitkan 2024-02-01
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  8. 8
    Pathology diagnosis of intraoperative frozen thyroid lesions assisted by deep learning

    Pathology diagnosis of intraoperative frozen thyroid lesions assisted by deep learning oleh Tingting He, Shanshan Shi, Yiqing Liu, Lianghui Zhu, Yani Wei, Fenfen Zhang, Huijuan Shi, Yonghong He, Anjia Han

    Diterbitkan 2024-08-01
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  9. 9
    A Prognosis Marker SLC2A3 Correlates With EMT and Immune Signature in Colorectal Cancer

    A Prognosis Marker SLC2A3 Correlates With EMT and Immune Signature in Colorectal Cancer oleh Huabin Gao, Jiangtao Liang, Jing Duan, Lin Chen, Hui Li, Tiantian Zhen, Fenfen Zhang, Yu Dong, Huijuan Shi, Anjia Han

    Diterbitkan 2021-06-01
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  10. 10
    MACC1 down-regulation inhibits proliferation and tumourigenicity of nasopharyngeal carcinoma cells through Akt/β-catenin signaling pathway.

    MACC1 down-regulation inhibits proliferation and tumourigenicity of nasopharyngeal carcinoma cells through Akt/β-catenin signaling pathway. oleh Fengjiao Meng, Hui Li, Huijuan Shi, Qingxu Yang, Fenfen Zhang, Yang Yang, Lili Kang, Tiantian Zhen, Sujuan Dai, Yu Dong, Anjia Han

    Diterbitkan 2013-01-01
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  11. 11
    A graph-learning based model for automatic diagnosis of Sjögren’s syndrome on digital pathological images: a multicentre cohort study

    A graph-learning based model for automatic diagnosis of Sjögren’s syndrome on digital pathological images: a multicentre cohort study oleh Ruifan Wu, Zhipei Chen, Jiali Yu, Peng Lai, Xuanyi Chen, Anjia Han, Meng Xu, Zhaona Fan, Bin Cheng, Ying Jiang, Juan Xia

    Diterbitkan 2024-08-01
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  12. 12
    A deep learning method for predicting the origins of cervical lymph node metastatic cancer on digital pathological images

    A deep learning method for predicting the origins of cervical lymph node metastatic cancer on digital pathological images oleh Runliang Zheng, Xuenian Wang, Lianghui Zhu, Renao Yan, Jiawen Li, Yani Wei, Fenfen Zhang, Hong Du, Linlang Guo, Yonghong He, Huijuan Shi, Anjia Han

    Diterbitkan 2024-09-01
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  13. 13
    Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning

    Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning oleh Hailing Liu, Yu Zhao, Fan Yang, Xiaoying Lou, Feng Wu, Hang Li, Xiaohan Xing, Tingying Peng, Bjoern Menze, Junzhou Huang, Shujun Zhang, Anjia Han, Jianhua Yao, Xinjuan Fan

    Diterbitkan 2022-01-01
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  14. 14
    An accurate prediction of the origin for bone metastatic cancer using deep learning on digital pathological imagesResearch in context

    An accurate prediction of the origin for bone metastatic cancer using deep learning on digital pathological imagesResearch in context oleh Lianghui Zhu, Huijuan Shi, Huiting Wei, Chengjiang Wang, Shanshan Shi, Fenfen Zhang, Renao Yan, Yiqing Liu, Tingting He, Liyuan Wang, Junru Cheng, Hufei Duan, Hong Du, Fengjiao Meng, Wenli Zhao, Xia Gu, Linlang Guo, Yingpeng Ni, Yonghong He, Tian Guan, Anjia Han

    Diterbitkan 2023-01-01
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  15. 15
    Treatment-induced arteriolar revascularization and miR-126 enhancement in bone marrow niche protect leukemic stem cells in AML

    Treatment-induced arteriolar revascularization and miR-126 enhancement in bone marrow niche protect leukemic stem cells in AML oleh Bin Zhang, Le Xuan Truong Nguyen, Dandan Zhao, David E. Frankhouser, Huafeng Wang, Dinh Hoa Hoang, Junjing Qiao, Christina Abundis, Matthew Brehove, Yu-Lin Su, Yuxin Feng, Anthony Stein, Lucy Ghoda, Adrianne Dorrance, Danilo Perrotti, Zhen Chen, Anjia Han, Flavia Pichiorri, Jie Jin, Tijana Jovanovic-Talisman, Michael A. Caligiuri, Calvin J. Kuo, Akihiko Yoshimura, Ling Li, Russell C. Rockne, Marcin Kortylewski, Yi Zheng, Nadia Carlesso, Ya-Huei Kuo, Guido Marcucci

    Diterbitkan 2021-08-01
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