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Fast Noninvasive Morphometric Characterization of Free Human Sperms Using Deep Learning 期刊论文
Microscopy and Microanalysis, 2022, 卷号: 28, 期号: 5, 页码: 1767-1779
作者:  Guole Liu;  Hao Shi;  Huan Zhang;  Yating Zhou;  Yujiao Sun;  Wei Li;  Xuefeng Huang;  Yuqiang Jiang;  Yaliang Fang;  Ge Yang
Adobe PDF(1167Kb)  |  收藏  |  浏览/下载：55/23  |  提交时间：2024/06/11
bright-field microscopy  deep learning  human sperm  intracytoplasmic sperm injection  sperm morphology  
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots 会议论文
, New Orleans, LA, USA, 18-24 June 2022
作者:  Wang, Zejin;  Liu, Jiazheng;  Li, Guoqing;  Han, Hua
Adobe PDF(7811Kb)  |  收藏  |  浏览/下载：231/102  |  提交时间：2023/05/31
Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 12, 页码: 6284-6299
作者:  Cao, Caiguang;  Xiao, Anqi;  Cai, Meishan;  Shen, Biluo;  Guo, Lishuang;  Shi, Xiaojing;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载：494/61  |  提交时间：2023/03/20
A multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma 期刊论文
MEDICAL PHYSICS, 2022, 页码: 13
作者:  Wei, Jingwei;  Ji, Qian;  Gao, Yu;  Yang, Xiaozhen;  Guo, Donghui;  Gu, Dongsheng;  Yuan, Chunwang;  Tian, Jie;  Ding, Dawei
收藏  |  浏览/下载：425/0  |  提交时间：2023/03/20
computed tomography  deep learning  hepatocellular carcinoma  histopathological grading  radiomics  
Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis 期刊论文
EUROPEAN RADIOLOGY, 2022, 页码: 11
作者:  Zhao, Qin-xian;  He, Xue-lei;  Wang, Kun;  Cheng, Zhi-gang;  Han, Zhi-yu;  Liu, Fang-yi;  Yu, Xiao-ling;  Hui, Zhong;  Yu, Jie;  Chao, An;  Liang, Ping
收藏  |  浏览/下载：184/0  |  提交时间：2023/03/20
Thermal ablation  Colorectal neoplasms  Ultrasound  Deep learning  Recurrence  
Gradient-Based Pulsed Excitation and Relaxation Encoding in Magnetic Particle Imaging 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 12, 页码: 3725-3733
作者:  Jia, Guang;  Huang, Liyu;  Wang, Ze;  Liang, Xiaofeng;  Zhang, Yu;  Zhang, Yifei;  Miao, Qiguang;  Hu, Kai;  Li, Tanping;  Wang, Ying;  Xi, Li;  Feng, Xin;  Hui, Hui;  Tian, Jie
收藏  |  浏览/下载：228/0  |  提交时间：2023/02/22
Magnetic particle imaging  pulsed excitation  gradient field  field free line  spatial encoding  tomography  magnetic nanoparticles  Debye relaxation time  system matrix  singular value decomposition  
Non-invasive molecular imaging for precision diagnosis of metastatic lymph nodes: opportunities from preclinical to clinical applications 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 23
作者:  Cheng, Zhongquan;  Ma, Jiaojiao;  Yin, Lin;  Yu, Leyi;  Yuan, Zhu;  Zhang, Bo;  Tian, Jie;  Du, Yang
收藏  |  浏览/下载：201/0  |  提交时间：2023/01/09
Molecular imaging  Lymph node metastasis  Cancer  Imaging probes  Imaging biomarkers  
PGNet: Projection generative network for sparse-view reconstruction of projection-based magnetic particle imaging 期刊论文
MEDICAL PHYSICS, 2022, 页码: 18
作者:  Wu, Xiangjun;  He, Bingxi;  Gao, Pengli;  Zhang, Peng;  Shang, Yaxin;  Zhang, Liwen;  Zhong, Jing;  Jiang, Jingying;  Hui, Hui;  Tian, Jie
收藏  |  浏览/下载：255/0  |  提交时间：2022/11/21
deep learning  field-free line  magnetic particle imaging  sparse view  
Encoder-decoder deep learning network for simultaneous reconstruction of fluorescence yield and lifetime distributions 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 9, 页码: 4693-4705
作者:  Cheng, Jiaju;  Zhang, Peng;  Liu, Fei;  Liu, Jie;  Hui, Hui;  Tian, Jie;  Luo, Jianwen
收藏  |  浏览/下载：239/0  |  提交时间：2022/11/14
The Detection of Divalent Iron and Reactive Oxygen Species During Ferroptosis with the Use of a Dual-Reaction Turn-On Fluorescent Probe 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2022, 页码: 12
作者:  Wang, Yueqi;  Li, Changjian;  Zhuo, Jiaming;  Hui, Hui;  Zhou, Bing;  Tian, Jie
Adobe PDF(1924Kb)  |  收藏  |  浏览/下载：398/108  |  提交时间：2022/11/14
Dual-reaction  Fe(II)  Ferroptosis  Fluorescent probes  ROS  Turn-on response