机构

• 自动化研究所 [70]
• 深圳先进技术研究院 [1]

采集方式

• OAI收割 [71]

内容类型

• 期刊论文 [67]
• 会议论文 [4]

发表日期

• 2023 [2]
• 2022 [3]
• 2021 [4]
• 2020 [21]
• 2019 [29]
• 2018 [10]
• 更多

学科主题

筛选

浏览/检索结果: 共71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 Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer 期刊论文  OAI收割 MEDICAL PHYSICS, 2023, 页码: 11 作者:  Liu, Shengyuan;  Deng, Jingyu;  Dong, Di;  Fang, Mengjie;  Ye, Zhaoxiang   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/11/17 deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics   Machine Learning in Lung Cancer Radiomics 期刊论文  OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782 作者:  Jiaqi Li   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/11/23 Machine learning, lung cancer, radiomics, medical image, clinical application   Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma 期刊论文  OAI收割 EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11 作者:  Zhao, Xun;  Liang, Yu-Jing;  Zhang, Xu;  Wen, Dong-Xiang;  Fan, Wei   |  收藏  |  浏览/下载：45/0  |  提交时间：2022/06/10 Recurrent nasopharyngeal carcinoma  Survival analysis  Radiomics  Deep learning   A novel machine learning-based radiomic model for diagnosing high bleeding risk esophageal varices in cirrhotic patients 期刊论文  OAI收割 HEPATOLOGY INTERNATIONAL, 2022, 卷号: 16, 期号: 2, 页码: 423-432 作者:  Yan, Yijie;  Li, Yue;  Fan, Chunlei;  Zhang, Yuening;  Zhang, Shibin   |  收藏  |  浏览/下载：25/0  |  提交时间：2022/06/10 Machine learning  Radiomic model  Esophageal varices  Cirrhotic portal hypertension  Computed tomography  Endoscopy   A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods 期刊论文  OAI收割 JOURNAL OF AFFECTIVE DISORDERS, 2022, 卷号: 300, 页码: 1-9 作者:  Sun, Kai;  Liu, Zhenyu;  Chen, Guanmao;  Zhou, Zhifeng;  Zhong, Shuming   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/02/16 Major depressive disorder  rs-fMRI  VBM  Radiomics  Classification   Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research 期刊论文  OAI收割 MEDICAL PHYSICS, 2021, 页码: 12 作者:  Wang, Siwen;  Dong, Di;  Zhang, Wenjuan;  Hu, Hui;  Li, Hailin   |  收藏  |  浏览/下载：54/0  |  提交时间：2021/11/02 advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics   A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文  OAI收割 EBIOMEDICINE, 2021, 卷号: 70, 页码: 10 作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning   |  收藏  |  浏览/下载：39/0  |  提交时间：2021/11/03 Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma   Quantitative Radiomic Features as New Biomarkers for Alzheimer's Disease: An Amyloid PET Study 期刊论文  OAI收割 CEREBRAL CORTEX, 2021, 卷号: 31, 期号: 8, 页码: 3950-3961 作者:  Ding, Yanhui;  Zhao, Kun;  Che, Tongtong;  Du, Kai;  Sun, Hongzan   |  收藏  |  浏览/下载：54/0  |  提交时间：2021/11/02 Alzheimer's disease  biomarker  machine learning  prediction  quantitative radiomic features   Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario 期刊论文  OAI收割 RADIOTHERAPY AND ONCOLOGY, 2021, 卷号: 161, 页码: 230-240 作者:  Yang, Ruijie;  Yang, Xueying;  Wang, Le;  Li, Dingjie;  Guo, Yuexin   |  收藏  |  浏览/下载：29/0  |  提交时间：2021/11/02 Machine learning  VMAT patient-specific QA  Multi-institution validation  Commissioning  Clinical implementation   Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer 期刊论文  OAI收割 CANCER IMAGING, 2020, 卷号: 20, 期号: 1, 页码: 10 作者:  Wang, Xiao-Xiao;  Ding, Yi;  Wang, Si-Wen;  Dong, Di;  Li, Hai-Lin   |  收藏  |  浏览/下载：44/0  |  提交时间：2021/01/06 Lauren classification  Radiomics  Peritumoral analysis  Gastric cancer  Computed tomography