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Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction 期刊论文
Physics in Medicine & Biology, 2024, 卷号: 69, 期号: 7
作者:  He,Bingxi;  Sun,Caixia;  Li,Hailin;  Wang,Yongbo;  She,Yunlang;  Zhao,Mengmeng;  Fang,Mengjie;  Zhu,Yongbei;  Wang,Kun;  Liu,Zhenyu;  Wei,Ziqi;  Mu,Wei;  Wang,Shuo;  Tang,Zhenchao;  Wei,Jingwei;  Shao,Lizhi;  Tong,Lixia;  Huang,Feng;  Tang,Mingze;  Guo,Yu;  Zhang,Huimao;  Dong,Di;  Chen,Chang;  Ma,Jianhua;  Tian,Jie
收藏  |  浏览/下载：39/0  |  提交时间：2024/05/30
deep learning  sinogram  CT scans  lung cancer  raw data  
Clinically Translatable Solid-State Dye for NIR-II Imaging of Medical Devices 期刊论文
ADVANCED SCIENCE, 2023, 页码: 13
作者:  Li, Deling;  Shi, Hui;  Qi, Qingrong;  Chang, Baisong;  Jiang, Yuanwen;  Qian, Kun;  Guan, Xiudong;  Kang, Peng;  Ma, Ning;  Zhang, Yuan;  Zhang, Zeyu;  Shi, Xiaojing;  Qu, Chunrong;  Wu, Yilei;  Chen, Weiyu;  Chen, Hao;  Li, Baowang;  Chen, Liangpeng;  Li, Ziyang;  Ma, Shunchang;  Xu, Lingyun;  Zhang, Yanrong;  Tian, Jie;  Hu, Zhenhua;  Jia, Wang;  Cheng, Zhen
收藏  |  浏览/下载：217/0  |  提交时间：2023/12/21
aggregates  in vivo imaging  medical devices  NIR-II fluorescence  
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
CANCER, 2022, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  Xu, Dong;  Cheng, Fang;  Fang, Chengyu;  He, Chang;  Wang, Jing;  Wang, Baohua;  Yang, Xin;  Wang, Kun;  Tian, Jie;  Jiang, Tian'an
收藏  |  浏览/下载：123/0  |  提交时间：2023/03/20
breast cancer  deep learning  lymph node metastasis  neoadjuvant chemotherapy  pathologic complete response  treatment decision  ultrasonography  
Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study 期刊论文
EBIOMEDICINE, 2022, 卷号: 86, 页码: 13
作者:  She, Yunlang;  He, Bingxi;  Wang, Fang;  Zhong, Yifan;  Wang, Tingting;  Liu, Zhenchuan;  Yang, Minglei;  Yu, Bentong;  Deng, Jiajun;  Sun, Xiwen;  Wu, Chunyan;  Hou, Likun;  Zhu, Yuming;  Yang, Yang;  Hu, Hongjie;  Dong, Di;  Chen, Chang;  Tian, Jie
收藏  |  浏览/下载：249/0  |  提交时间：2023/02/22
Deep learning  Neoadjuvant chemoimmunotherapy  Major pathological response  Non-small cell lung cancer  
graph convolution based residual connected network for morphological reconstruction in fluorescence molecular tomography 会议论文
, 美国, 2022-2
作者:  Wang Y(王宇);  Bian C(边畅);  Du Y(杜洋);  Tian J(田捷)
Adobe PDF(625Kb)  |  收藏  |  浏览/下载：235/73  |  提交时间：2022/06/14
Fluorescence molecular tomography  Graph convolution network  
A Fast and Automated FMT/XCT Reconstruction Strategy Based on Standardized Imaging Space 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 3, 页码: 657-666
作者:  An, Yu;  Bian, Chang;  Yan, Daxiang;  Wang, Hanfan;  Wang, Yu;  Du, Yang;  Tian, Jie
Adobe PDF(8285Kb)  |  收藏  |  浏览/下载：371/70  |  提交时间：2022/06/06
Imaging  Image reconstruction  Mice  In vivo  Image segmentation  Finite element analysis  Surface reconstruction  Fluorescence molecular tomography  imaging reconstruction  standardized imaging space  
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
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：327/62  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 5, 页码: 1484-1498
作者:  Wang, Hanfan;  Bian, Chang;  Kong, Lingxin;  An, Yu;  Du, Yang;  Tian, Jie
Adobe PDF(8176Kb)  |  收藏  |  浏览/下载：457/77  |  提交时间：2021/06/15
Image reconstruction  Fluorescence  Probes  Mathematical model  Photonics  Molecular imaging  Biological tissues  Fluorescence molecular tomography  adaptive parameter search  elastic net  
A Computational Prediction Method Based on Modified U-Net for Cell Distribution in Tumor Microenvironment 会议论文
, 线上会议, 2021-2-15
作者:  Bian, Chang;  Wang, Yu;  An, Yu;  Wang, Hanfan;  Du, Yang;  Tian, Jie
Adobe PDF(28768Kb)  |  收藏  |  浏览/下载：214/49  |  提交时间：2021/05/28
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载：328/34  |  提交时间：2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)