Hasil Pencarian - Ruijiang Li

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  1. 1
    1291 Multi-modal deep learning integrating radiology and pathology images to predict cancer immunotherapy response: a retrospective multi-cohort study

    1291 Multi-modal deep learning integrating radiology and pathology images to predict cancer immunotherapy response: a retrospective multi-cohort study oleh Zhe Li, Yuming Jiang, Ruijiang Li

    Diterbitkan 2023-11-01
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  2. 2
    Poly(delta-gluconolactone) and Poly(delta-gluconolactone-ε-caprolactone) from delta-Gluconolactone and ε-Caprolactone by Ring-Opening Polymerization

    Poly(delta-gluconolactone) and Poly(delta-gluconolactone-ε-caprolactone) from delta-Gluconolactone and ε-Caprolactone by Ring-Opening Polymerization oleh Ruijiang Li, Peng Wang, Haohao Ren, Hong Li, Zhengwen Ding, Yonggang Yan

    Diterbitkan 2018-01-01
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  3. 3
    Correlation Study between Serum Trimethylamine-N-oxide and the Risk of Acute Ischemic Stroke

    Correlation Study between Serum Trimethylamine-N-oxide and the Risk of Acute Ischemic Stroke oleh LUO Jiaxin, ZHANG Aoqi, GAO Ruijiang, LI Ziru, ZHU Runxiu, YAO Yuan, YUAN Jun

    Diterbitkan 2022-03-01
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  4. 4
    Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer

    Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer oleh Jia Wu, Xuejie Li, Xiaodong Teng, Daniel L. Rubin, Sandy Napel, Bruce L. Daniel, Ruijiang Li

    Diterbitkan 2018-09-01
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  5. 5
    Virtual multiplexed immunofluorescence staining from non-antibody-stained fluorescence imaging for gastric cancer prognosisResearch in context

    Virtual multiplexed immunofluorescence staining from non-antibody-stained fluorescence imaging for gastric cancer prognosisResearch in context oleh Zixia Zhou, Yuming Jiang, Zepang Sun, Taojun Zhang, Wanying Feng, Guoxin Li, Ruijiang Li, Lei Xing

    Diterbitkan 2024-09-01
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  6. 6
    Exploring novel disease-disease associations based on multi-view fusion network

    Exploring novel disease-disease associations based on multi-view fusion network oleh Xiaoxi Yang, Wenjian Xu, Dongjin Leng, Yuqi Wen, Lianlian Wu, Ruijiang Li, Jian Huang, Xiaochen Bo, Song He

    Diterbitkan 2023-01-01
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  7. 7
    Tensor framelet based iterative image reconstruction algorithm for low-dose multislice helical CT.

    Tensor framelet based iterative image reconstruction algorithm for low-dose multislice helical CT. oleh Haewon Nam, Minghao Guo, Hengyong Yu, Keumsil Lee, Ruijiang Li, Bin Han, Lei Xing, Rena Lee, Hao Gao

    Diterbitkan 2019-01-01
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  8. 8
    Identifying Triple-Negative Breast Cancer Using Background Parenchymal Enhancement Heterogeneity on Dynamic Contrast-Enhanced MRI: A Pilot Radiomics Study.

    Identifying Triple-Negative Breast Cancer Using Background Parenchymal Enhancement Heterogeneity on Dynamic Contrast-Enhanced MRI: A Pilot Radiomics Study. oleh Jeff Wang, Fumi Kato, Noriko Oyama-Manabe, Ruijiang Li, Yi Cui, Khin Khin Tha, Hiroko Yamashita, Kohsuke Kudo, Hiroki Shirato

    Diterbitkan 2015-01-01
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  9. 9
    The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies

    The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies oleh Noriyuki Fujima, Akihiro Homma, Taisuke Harada, Yukie Shimizu, Khin Khin Tha, Satoshi Kano, Takatsugu Mizumachi, Ruijiang Li, Kohsuke Kudo, Hiroki Shirato

    Diterbitkan 2019-02-01
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  10. 10
    CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks

    CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks oleh Ruijiang Li, Hebing Chen, Shuai Jiang, Wanying Li, Hao Li, Zhuo Zhang, Hao Hong, Xin Huang, Chenghui Zhao, Yiming Lu, Xiaochen Bo

    Diterbitkan 2018-11-01
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  11. 11
    Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study

    Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study oleh Weidao Chen, Jiangfen Wu, Ren Wei, Shuang Wu, Chen Xia, Dawei Wang, Daliang Liu, Longmei Zheng, Tianyu Zou, Ruijiang Li, Xianrong Qi, Xiaotong Zhang

    Diterbitkan 2022-12-01
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  12. 12
    Predicting treatment response from longitudinal images using multi-task deep learning

    Predicting treatment response from longitudinal images using multi-task deep learning oleh Cheng Jin, Heng Yu, Jia Ke, Peirong Ding, Yongju Yi, Xiaofeng Jiang, Xin Duan, Jinghua Tang, Daniel T. Chang, Xiaojian Wu, Feng Gao, Ruijiang Li

    Diterbitkan 2021-03-01
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  13. 13
    DeepHiC: A generative adversarial network for enhancing Hi-C data resolution.

    DeepHiC: A generative adversarial network for enhancing Hi-C data resolution. oleh Hao Hong, Shuai Jiang, Hao Li, Guifang Du, Yu Sun, Huan Tao, Cheng Quan, Chenghui Zhao, Ruijiang Li, Wanying Li, Xiaoyao Yin, Yangchen Huang, Cheng Li, Hebing Chen, Xiaochen Bo

    Diterbitkan 2020-02-01
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  14. 14
    Biology-guided deep learning predicts prognosis and cancer immunotherapy response

    Biology-guided deep learning predicts prognosis and cancer immunotherapy response oleh Yuming Jiang, Zhicheng Zhang, Wei Wang, Weicai Huang, Chuanli Chen, Sujuan Xi, M. Usman Ahmad, Yulan Ren, Shengtian Sang, Jingjing Xie, Jen-Yeu Wang, Wenjun Xiong, Tuanjie Li, Zhen Han, Qingyu Yuan, Yikai Xu, Lei Xing, George A. Poultsides, Guoxin Li, Ruijiang Li

    Diterbitkan 2023-08-01
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  15. 15
    Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study

    Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study oleh Yuming Jiang, MD, Xiaokun Liang, PhD, Zhen Han, MD, Wei Wang, MD, Sujuan Xi, MD, Tuanjie Li, MD, Chuanli Chen, MD, Qingyu Yuan, MD, Na Li, PhD, Jiang Yu, MD, Yaoqin Xie, ProfPhD, Yikai Xu, ProfMD, Zhiwei Zhou, ProfMD, George A Poultsides, ProfMD, Guoxin Li, ProfMD, Ruijiang Li, PhD

    Diterbitkan 2021-06-01
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  16. 16
    Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study

    Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study oleh Maliazurina B Saad, PhD, Lingzhi Hong, MD, Muhammad Aminu, MD, Natalie I Vokes, MD, Pingjun Chen, PhD, Morteza Salehjahromi, PhD, Kang Qin, MD, Sheeba J Sujit, PhD, Xuetao Lu, PhD, Elliana Young, MS, Qasem Al-Tashi, PhD, Rizwan Qureshi, PhD, Carol C Wu, ProfMD, Brett W Carter, ProfMD, Steven H Lin, ProfMD, Percy P Lee, ProfMD, Saumil Gandhi, MD, Joe Y Chang, ProfMD, Ruijiang Li, PhD, Michael F Gensheimer, MD, Heather A Wakelee, ProfMD, Joel W Neal, MD, Hyun-Sung Lee, MD, Chao Cheng, PhD, Vamsidhar Velcheti, ProfMD, Yanyan Lou, MD, Milena Petranovic, MD, Waree Rinsurongkawong, PhD, Xiuning Le, MD, Vadeerat Rinsurongkawong, PhD, Amy Spelman, PhD, Yasir Y Elamin, MD, Marcelo V Negrao, MD, Ferdinandos Skoulidis, MD, Carl M Gay, MD, Tina Cascone, MD, Mara B Antonoff, MD, Boris Sepesi, MD, Jeff Lewis, BS, Ignacio I Wistuba, ProfMD, John D Hazle, ProfPhD, Caroline Chung, MD, David Jaffray, ProfPhD, Don L Gibbons, ProfMD, Ara Vaporciyan, ProfMD, J Jack Lee, ProfPhD, John V Heymach, ProfMD, Jianjun Zhang, MD, Jia Wu, PhD

    Diterbitkan 2023-07-01
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