机构

• 地理科学与资源研究所 [5]
• 自动化研究所 [3]
• 工程热物理研究所 [3]
• 广州地球化学研究所 [2]
• 宁波材料技术与工程研... [2]
• 中国科学院大学 [1]
• 更多

采集方式

• OAI收割 [18]
• iSwitch采集 [1]

内容类型

• 期刊论文 [16]
• 会议论文 [3]

发表日期

• 2023 [1]
• 2022 [3]
• 2021 [2]
• 2020 [1]
• 2018 [4]
• 2017 [2]
• 更多

学科主题

• 材料科学 [1]

筛选

浏览/检索结果: 共19条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer 期刊论文  OAI收割 JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2023, 卷号: 24, 期号: 8, 页码: 663-681 作者:  Zhu, Xuehua;  Shao, Lizhi;  Liu, Zhenyu;  Liu, Zenan;  He, Jide   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/11/17 Magnetic resonance imaging (MRI)  Radiomics  Prostate cancer  Predictive model   Updatable dataset revealing decade changes in land cover types in Mongolia 期刊论文  OAI收割 GEOSCIENCE DATA JOURNAL, 2022, 页码: 14 作者:  Wang, Juanle;  Wei, Haishuo;  Cheng, Kai;  Ochir, Altansukh;  Shao, Yating   |  收藏  |  浏览/下载：50/0  |  提交时间：2022/04/12 Updatable dataset revealing decade changes in land cover types in Mongolia 期刊论文  OAI收割 GEOSCIENCE DATA JOURNAL, 2022, 页码: 14 作者:  Wang, Juanle;  Wei, Haishuo;  Cheng, Kai;  Ochir, Altansukh;  Shao, Yating   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/09/21 Updatable dataset revealing decade changes in land cover types in Mongolia 期刊论文  OAI收割 GEOSCIENCE DATA JOURNAL, 2022, 页码: 14 作者:  Wang, Juanle;  Wei, Haishuo;  Cheng, Kai;  Ochir, Altansukh;  Shao, Yating   |  收藏  |  浏览/下载：23/0  |  提交时间：2022/09/21 Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3690-3700 作者:  Shao, Lizhi;  Liu, Zhenyu;  Yan, Ye;  Liu, Jiangang;  Ye, Xiongjun   |  收藏  |  浏览/下载：39/0  |  提交时间：2021/12/28 Magnetic resonance imaging  Principal component analysis  Pathology  Lesions  Optimization  Task analysis  Predictive models  Gleason score  prostate cancer  patient-level prediction  joint optimization  MRI  reinforcement learning   Selectivity Switching of CO2 Hydrogenation from HCOOH to CO with an In Situ Formed Ru−Li Complex 期刊论文  OAI收割 ACS Catal., 2021, 卷号: 2021, 期号: 11, 页码: 9390-9396 作者:  Qiongyao Chen;  Chaoren Shen;  Gangli Zhu;  Xuehua Zhang;  Chun-Lin Lv   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/12/01 Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy 期刊论文  OAI收割 THERANOSTICS, 2020, 卷号: 10, 期号: 22, 页码: 10200-10212 作者:  Shao, Lizhi;  Yan, Ye;  Liu, Zhenyu;  Ye, Xiongjun;  Xia, Haizhui   |  收藏  |  浏览/下载：29/0  |  提交时间：2021/03/02 prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging   Using Monte Carlo Simulation to Improve the Performance of Semivariograms for Choosing the Remote Sensing Imagery Resolution for Natural Resource Surveys: Case Study on Three Counties in East, Central, and West China 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 卷号: 7, 期号: 1, 页码: 20 作者:  Wang, Juanle;  Zhu, Junxiang;  Han, Xuehua   |  收藏  |  浏览/下载：26/0  |  提交时间：2019/05/30 optimal resolution  Monte Carlo simulation  semivariogram  natural resource survey  remotely sensed image interpretation   High catalytic performance of Fe-Ni/Palygorskite in the steam reforming of toluene for hydrogen production 期刊论文  OAI收割 APPLIED ENERGY, 2018, 卷号: 226, 页码: 827-837 作者:  Zou, Xuehua;  Chen, Tianhu;  Zhang, Ping;  Chen, Dong;  He, Junkai   |  收藏  |  浏览/下载：34/0  |  提交时间：2019/08/19 Using Monte Carlo Simulation to Improve the Performance of Semivariograms for Choosing the Remote Sensing Imagery Resolution for Natural Resource Surveys: Case Study on Three Counties in East, Central, and West China 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 卷号: 7, 期号: 1, 页码: 20 作者:  Wang, Juanle;  Zhu, Junxiang;  Han, Xuehua   |  收藏  |  浏览/下载：9/0  |  提交时间：2019/05/30 optimal resolution  Monte Carlo simulation  semivariogram  natural resource survey  remotely sensed image interpretation