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CASIA OpenIR

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Glucose-Regulated Protein 78 Targeting ICG and DOX Loaded Hollow Fe3O4 Nanoparticles for Hepatocellular Carcinoma Diagnosis and Therapy 期刊论文
INTERNATIONAL JOURNAL OF NANOMEDICINE, 2024, 卷号: 19, 页码: 189-208
作者:  Jin, Yushen;  Cheng, Zhongquan;  Yuan, Zhu;  Du, Yang;  Tian, Jie;  Shao, Bing
收藏  |  浏览/下载：12/0  |  提交时间：2024/03/26
porous hollow structure  magnetic particle imaging  fluorescence imaging  synergistic treatment  theranostics  
A Streamlined 3-D Magnetic Particle Imaging System With a Two-Stage Excitation Feed-Through Compensation Strategy 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 1-10
作者:  Yin L(尹琳);  Li W(李玮);  Bian ZW(卞忠伟);  Chen ZW(陈梓威);  Liu YJ(刘晏君);  Zhong J(钟景);  Zhang SX(张水兴);  Du Y(杜洋);  Hui H(惠辉);  Tian J(田捷)
Adobe PDF(3893Kb)  |  收藏  |  浏览/下载：18/4  |  提交时间：2024/03/26
3-D imaging  compensation strategy  magnetic particle imaging (MPI)  
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：105/39  |  提交时间：2023/11/23
Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
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
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：64/39  |  提交时间：2023/11/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
Deep Penetrating and Sensitive Targeted Magnetic Particle Imaging and Photothermal Therapy of Early-Stage Glioblastoma Based on a Biomimetic Nanoplatform 期刊论文
ADVANCED SCIENCE, 2023, 页码: 11
作者:  Huang, Xiazi;  Hui, Hui;  Shang, Wenting;  Gao, Pengli;  Zhou, Yingying;  Pang, Weiran;  Woo, Chi Man;  Lai, Puxiang;  Tian, Jie
收藏  |  浏览/下载：94/0  |  提交时间：2023/11/17
biomimetic nanoplatform  brain-blood-barrier breaking  cancer diagnosis  glioblastoma multiforme  magnetic particle imaging  
Molecular imaging-guided extracellular vesicle-based drug delivery for precise cancer management: Current status and future perspectives 期刊论文
JOURNAL OF CONTROLLED RELEASE, 2023, 卷号: 362, 页码: 97-120
作者:  Cheng, Zhongquan;  Shang, Jihuan;  Wang, Huarong;  Yu, Leyi;  Yuan, Zhu;  Zhang, Yinlong;  Du, Yang;  Tian, Jie
收藏  |  浏览/下载：54/0  |  提交时间：2023/11/16
Extracellular vesicles  Molecular imaging  Cancer  Diagnosis  Therapy  
[68Ga]Ga-AUNP-12 PET imaging to assess the PD-L1 status in preclinical and first-in-human study 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 页码: 11
作者:  Zhou, Ming;  Xiang, Shijun;  Zhao, Yajie;  Tang, Yongxiang;  Yang, Jinhui;  Yin, Xiaoqin;  Tian, Jie;  Hu, Shuo;  Du, Yang
收藏  |  浏览/下载：116/0  |  提交时间：2023/11/16
PD-1/PD-L1  Immune checkpoints  PET/CT imaging  Immunotherapy  
Magnetic Particle Imaging-Guided Hyperthermia for Precise Treatment of Cancer: Review, Challenges, and Prospects 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2023, 页码: 14
作者:  Lei, Siao;  He, Jie;  Gao, Pengli;  Wang, Yueqi;  Hui, Hui;  An, Yu;  Tian, Jie
收藏  |  浏览/下载：71/0  |  提交时间：2023/11/15
Magnetic particle imaging  Magnetic fluid hyperthermia  Cancer  Precise treatment  
Improving prognosis and assessing adjuvant chemotherapy benefit in locally advanced rectal cancer with deep learning for MRI: A retrospective, multi-cohort study 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2023, 卷号: 188, 页码: 9
作者:  Zhang, Song;  Cai, Guoxiang;  Xie, Peiyi;  Sun, Caixia;  Li, Bao;  Dai, Weixing;  Liu, Xiangyu;  Qiu, Qi;  Du, Yang;  Li, Zhenhui;  Liu, Zhenyu;  Tian, Jie
收藏  |  浏览/下载：94/0  |  提交时间：2023/11/15
Locally advanced rectal cancer  Magnetic resonance imaging  Prognosis  Adjuvant chemotherapy  Deep learning  
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
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：75/31  |  提交时间：2023/08/02
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision