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Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review 期刊论文
IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2024, 卷号: 17, 页码: 118-135
作者:  Wang, Zipei;  Fang, Mengjie;  Zhang, Jie;  Tang, Linquan;  Zhong, Lianzhen;  Li, Hailin;  Cao, Runnan;  Zhao, Xun;  Liu, Shengyuan;  Zhang, Ruofan;  Xie, Xuebin;  Mai, Haiqiang;  Qiu, Sufang;  Tian, Jie;  Dong, Di
收藏  |  浏览/下载：4/0  |  提交时间：2024/07/03
Artificial intelligence  Medical diagnostic imaging  Image segmentation  medical imaging  nasopharyngeal carcinoma  precision diagnosis and treatment  
Pixel-Level Contrastive Pretrainer for Industrial Image Representation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:  Zhu, Bingke;  Chen, Yingying;  Tang, Ming;  Wang, Jinqiao
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/03
Task analysis  Feature extraction  Anomaly detection  Transformers  Production  Inspection  Convolutional neural networks  Ind-2M  industrial image representation  Pixel-level COntrastive (PiCO)  pixel-level contrastive learning  pretrainer  
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 14
作者:  Huang, Nisha;  Zhang, Yuxin;  Tang, Fan;  Ma, Chongyang;  Huang, Haibin;  Dong, Weiming;  Xu, Changsheng
收藏  |  浏览/下载：10/0  |  提交时间：2024/07/03
Arbitrary image stylization  diffusion  textual guidance  neural network applications  
Accurate Flexible Printed Circuit (FPC) Position Identification Using Haptic Information in Industrial Robotic Mobile Phone Assembly 期刊论文
IEEE Transactions on Industrial Electronics, 2024, 页码: 1-10
作者:  Yang Minghao;  Yongjia Zhao;  Li Jiaxin;  Tang Wei;  Pan Hang;  Chen JinLong;  Sun FuChun
Adobe PDF(1810Kb)  |  收藏  |  浏览/下载：37/13  |  提交时间：2024/06/24
Pixel-level Contrastive Pre-Trainer for Industrial Image Representation 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2024, 卷号: 73, 页码: 1-13
作者:  Bingke Zhu;  Yingying Chen;  Ming Tang;  Jinqiao Wang
Adobe PDF(1590Kb)  |  收藏  |  浏览/下载：33/12  |  提交时间：2024/06/12
Explicit Attention Modeling for Pedestrian Attribute Recognition 会议论文
, Brisbane, Australia, 2023.7.10-2023.7.14
作者:  Jinyi Fang;  Bingke Zhu;  Yingying Chen;  Jinqiao Wang;  Ming Tang
Adobe PDF(1032Kb)  |  收藏  |  浏览/下载：45/17  |  提交时间：2024/06/12
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：31/0  |  提交时间：2024/05/30
deep learning  sinogram  CT scans  lung cancer  raw data  
Global Patch Cross-Attention for Point Cloud Analysis 会议论文
5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4–7, 2022, Proceedings, Part III, 深圳, 2022.11.4-2022.11.7
作者:  Tao ML(陶满礼);  Zhao CY(赵朝阳);  Wang JQ(王金桥);  Tang M(唐明)
Adobe PDF(6422Kb)  |  收藏  |  浏览/下载：41/11  |  提交时间：2024/05/30
Global patch · Cross-attention · Contextual description · Point cloud analysis  
ImFusion: Boosting Two-Stage 3D Object Detection via Image Candidates 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2024, 卷号: 31, 页码: 241-245
作者:  Tao, Manli;  Zhao, Chaoyang;  Wang, Jinqiao;  Tang, Ming
Adobe PDF(3506Kb)  |  收藏  |  浏览/下载：69/7  |  提交时间：2024/03/26
Three-dimensional displays  Proposals  Object detection  Feature extraction  Point cloud compression  Aggregates  Sun  3D object detection  image candidates  pseudo 3D proposal  target missing  
ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 6, 页码: 14
作者:  Zhang, Yuxin;  Dong, Weiming;  Tang, Fan;  Huang, Nisha;  Huang, Haibin;  Ma, Chongyang;  Lee, Tong-Yee;  Deussen, Oliver;  Xu, Changsheng
收藏  |  浏览/下载：60/0  |  提交时间：2024/03/26
Image generation  Diffusion models  Attribute-aware editing  Model personalization