机构

• 合肥物质科学研究院 [11]
• 自动化研究所 [5]
• 上海药物研究所 [2]
• 上海应用物理研究所 [1]
• 长春应用化学研究所 [1]
• 近代物理研究所 [1]
• 更多

采集方式

• OAI收割 [21]

内容类型

• 期刊论文 [21]

发表日期

• 2025 [1]
• 2024 [1]
• 2022 [3]
• 2021 [3]
• 2020 [5]
• 2019 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共21条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Comprehensive MALDI mass spectrometry imaging of tumor regions post-neoadjuvant therapy 期刊论文  OAI收割 ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2025, 页码: 8 作者:  Xu, Hui;  Zhang, Qian;  Yuan, Jie;  Xu, Jianfeng;  Sui, Jian   |  收藏  |   GSDME-mediated pyroptosis promotes anti-tumor immunity of neoadjuvant chemotherapy in breast cancer 期刊论文  OAI收割 CANCER IMMUNOLOGY IMMUNOTHERAPY, 2024, 卷号: 73 作者:  Fu, Changfang;  Ji, Wenbo;  Cui, Qianwen;  Chen, Anling;  Weng, Haiyan   |  收藏  |   Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer : A multicenter study 期刊论文  OAI收割 BREAST, 2022, 卷号: 66, 页码: 183-190 作者:  Li, Bao;  Li, Fengling;  Liu, Zhenyu;  Xu, FangPing;  Ye, Guolin   |  收藏  |   Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study 期刊论文  OAI收割 CANCER, 2022, 页码: 11 作者:  Gu, Jionghui;  Tong, Tong;  Xu, Dong;  Cheng, Fang;  Fang, Chengyu   |  收藏  |   Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study 期刊论文  OAI收割 CANCER, 2022 作者:  Gu, Jionghui;  Tong, Tong;  Xu, Dong;  Cheng, Fang;  Fang, Chengyu   |  收藏  |   Impact of cumulative cisplatin dose in childhood nasopharyngeal carcinoma based on neoadjuvant chemotherapy response in the intensity-modulated radiotherapy era: a real-world study 期刊论文  OAI收割 CANCER CELL INTERNATIONAL, 2021, 卷号: 21 作者:  Jin, Ya-Nan;  Qiang, Meng-Yun;  Liu, Meng-Meng;  Cheng, Zhi-Bin;  Zhang, Wang-Jian   |  收藏  |   Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文  OAI收割 EUROPEAN RADIOLOGY, 2021, 页码: 11 作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin   |  收藏  |   The Usefulness of Pretreatment MR-Based Radiomics on Early Response of Neoadjuvant Chemotherapy in Patients With Locally Advanced Nasopharyngeal Carcinoma 期刊论文  OAI收割 ONCOLOGY RESEARCH, 2021, 卷号: 28 作者:  Piao Yongfeng;  Jiang Chuner;  Wang Lei;  Yan Fengqin;  Ye Zhimin   |  收藏  |   The Predictive Value of Pre-therapeutic Serum Gamma-glutamyl transferase in Efficacy and Adverse Reactions to Neoadjuvant Chemotherapy among Breast Cancer Patients 期刊论文  OAI收割 JOURNAL OF BREAST CANCER, 2020, 卷号: 23 作者:  Sun, Lu;  Yin, Wenjin;  Wu, Ziping;  Wang, Yaohui;  Lu, Jinsong   |  收藏  |   Machine Learning-Based Radiomics Nomogram Using Magnetic Resonance Images for Prediction of Neoadjuvant Chemotherapy Efficacy in Breast Cancer Patients 期刊论文  OAI收割 FRONTIERS IN ONCOLOGY, 2020, 卷号: 10 作者:  Chen, Shujun;  Shu, Zhenyu;  Li, Yongfeng;  Chen, Bo;  Tang, Lirong   |  收藏  |