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Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 859-876
作者:  Ahmad Chaddad;  Qizong Lu;  Jiali Li;  Yousef Katib;  Reem Kateb;  Camel Tanougast;  Ahmed Bouridane;  Ahmed Abdulkadir
Adobe PDF(6028Kb)  |  收藏  |  浏览/下载：491/358  |  提交时间：2023/03/22
Domain adaptation  explainable artificial intelligence  federated learning  
Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
作者:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo
Adobe PDF(2873Kb)  |  收藏  |  浏览/下载：4/1  |  提交时间：2024/04/23
Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：6/2  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics 期刊论文
FRONTIERS IN ONCOLOGY, 2022, 卷号: 12, 页码: 10
作者:  Yan, Yang;  Liu, Yujia;  Tao, Jianhua;  Li, Zheng;  Qu, Xiaoxia;  Guo, Jian;  Xian, Junfang
收藏  |  浏览/下载：207/0  |  提交时间：2022/06/10
inverted papilloma (IP)  squamous cell carcinoma  sinonasal cancer  radiomics  magnetic resonance imaging  
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：361/81  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
Facial Recognition Intensity in Disease Diagnosis Using Automatic Facial Recognition 期刊论文
JOURNAL OF PERSONALIZED MEDICINE, 2021, 卷号: 11, 期号: 11, 页码: 15
作者:  Wu, Danning;  Chen, Shi;  Zhang, Yuelun;  Zhang, Huabing;  Wang, Qing;  Li, Jianqiang;  Fu, Yibo;  Wang, Shirui;  Yang, Hongbo;  Du, Hanze;  Zhu, Huijuan;  Pan, Hui;  Shen, Zhen
Adobe PDF(2141Kb)  |  收藏  |  浏览/下载：287/77  |  提交时间：2022/01/27
artificial intelligence  computer-aided diagnosis  facial phenotypes  machine learning  complexity theory  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载：287/55  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：351/69  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
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
RADIOTHERAPY AND ONCOLOGY, 2021, 卷号: 161, 期号: 10.1016/j.radonc.2021.06.024, 页码: 230-240
作者:  Yang, Ruijie;  Yang, Xueying;  Wang, Le;  Li, Dingjie;  Guo, Yuexin;  Li, Ying;  Guan, Yumin;  Wu, Xiangyang;  Xu, Shouping;  Zhang, Shuming;  Chan, Maria F.;  Geng, Lisheng;  Sui, Jing
Adobe PDF(2840Kb)  |  收藏  |  浏览/下载：343/56  |  提交时间：2021/11/02
Machine learning  VMAT patient-specific QA  Multi-institution validation  Commissioning  Clinical implementation