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检索条件"机构=Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention"
134 条 记 录,以下是1-10 订阅
排序:
NETrack: A Lightweight Attention-Based Network for Real-Time Pose Tracking of Nasal Endoscope Based on Endoscopic image  21st
NETrack: A Lightweight Attention-Based Network for Real-Tim...
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21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024
作者: Shao, Liangjing Chen, Benshuang Chen, Xinrong Academy for Engineering and Technology Fudan University Shanghai200438 China Shanghai Key Laboratory for Medical Imaging Computing and Computer Assisted Intervention Fudan University Shanghai200032 China
Vision-based real-time pose tracking of endoscope is significant for navigation and automation of endoscopy. In this work, a deep learning-based framework is proposed for vision-based real-time pose tracking of nasal ... 详细信息
来源: 评论
REMOTE: Real-time Ego-motion Tracking for Various Endoscopes via Multimodal Visual Feature Learning
arXiv
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arXiv 2025年
作者: Shao, Liangjing Chen, Benshuang Zhao, Shuting Chen, Xinrong Academy for Engineering & Technology Fudan University China Shanghai Key Laboratory of Medical Image Computing and Computer-Assisted Intervention Fudan University China
Real-time ego-motion tracking for endoscope is a significant task for efficient navigation and robotic automation of endoscopy. In this paper, a novel framework is proposed to perform real-time ego-motion tracking for... 详细信息
来源: 评论
NaMA-Mamba: Foundation model for generalizable nasal disease detection using masked autoencoder with Mamba on endoscopic images
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computerized medical Imaging and Graphics 2025年 122卷 102524-102524页
作者: Wang, Wensheng Jin, Zewen Liu, Xueli Chen, Xinrong Academy for Engineering and Technology Fudan University Shanghai200433 China Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention Shanghai200032 China Eye & ENT Hospital of Fudan University Shanghai200031 China
Artificial intelligence (AI) has shown great promise in analyzing nasal endoscopic images for disease detection. However, current AI systems require extensive expert-labeled data for each specific medical condition, l... 详细信息
来源: 评论
DM-Mamba: Dual-domain Multi-scale Mamba for MRI Reconstruction
arXiv
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arXiv 2025年
作者: Meng, Yucong Yang, Zhiwei Song, Zhijian Shi, Yonghong Fu, Kexue Digital Medical Research Center School of Basic Medical Science Fudan University Shanghai200032 China Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention Shanghai200032 China Academy of Engineering and Technology Fudan University Shanghai200433 China Jinan China
The accelerated MRI reconstruction poses a challenging ill-posed inverse problem due to the significant undersampling in k-space. Deep neural networks, such as CNNs and ViT, have shown substantial performance improvem... 详细信息
来源: 评论
Exploring CLIP’s Dense Knowledge for Weakly Supervised Semantic Segmentation
arXiv
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arXiv 2025年
作者: Yang, Zhiwei Meng, Yucong Fu, Kexue Tang, Feilong Wang, Shuo Song, Zhijian Academy for Engineering and Technology Fudan University Shanghai200433 China Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention China Digital Medical Research Center School of Basic Medical Sciences Fudan University China Shandong Computer Science Center National Supercomputer Center in Jinan China
Weakly Supervised Semantic Segmentation (WSSS) with image-level labels aims to achieve pixel-level predictions using Class Activation Maps (CAMs). Recently, Contrastive Language-image Pre-training (CLIP) has been intr... 详细信息
来源: 评论
A Contrast-Enhanced Null Subtraction Imaging Method using Dynamic DC Bias in Ultrafast Ultrasound imaging
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IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 2025年 PP卷 PP页
作者: Yan, Xin Yang, Xiaodong Jing, Lingling Guo, Wei Wang, Yingqi Su, Xinwei Wang, Yuanyuan Shenyang University of Technology School of Information Science and Engineering Shenyang110870 China Ultrasound Department of Anshan Central Hospital Anshan114000 China CO. Ltd Suzhou215123 China Fudan University Department of Electronic Engineering and the Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Shanghai200433 China
Enhancing the resolution and contrast of ultrafast ultrasound imaging is imperative for the accuracy of clinical diagnostics. Null subtraction imaging (NSI) is a nonlinear beamforming technique capable of significantl... 详细信息
来源: 评论
Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data
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medical image Analysis 2025年 103卷
作者: Huang, Yi Jiao, Jing Yu, Jinhua Zheng, Yongping Wang, Yuanyuan Biomedical Engineering Center Fudan University Shanghai 200433 China Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Fudan University 200433 China Department of Biomedical Engineering The Hong Kong Polytechnic University SAR Hong Kong China Research Institute for Smart Ageing The Hong Kong Polytechnic University SAR Hong Kong China
Three-dimensional (3D) spinal ultrasound imaging has demonstrated its promising potential in measuring spinal deformity through recent studies, and it is more suitable for massive early screening and longitudinal foll... 详细信息
来源: 评论
Decoupled deep hough voting for point cloud registration
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Frontiers of computer Science 2024年 第2期18卷 147-155页
作者: Mingzhi YUAN Kexue FU Zhihao LI Manning WANG Digital Medical Research Center School of Basic Medical SciencesFudan UniversityShanghai 200032China Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention Shanghai 200032China
Estimating rigid transformation using noisy correspondences is critical to feature-based point cloud ***,a series of studies have attempted to combine traditional robust model fitting with deep *** them,DHVR proposed ... 详细信息
来源: 评论
XSleepFusion: A dual-stage information bottleneck fusion framework for interpretable multimodal sleep analysis
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Information Fusion 2025年 123卷
作者: Shuaicong Hu Yanan Wang Jian Liu Cuiwei Yang Department of Biomedical Engineering Fudan University Shanghai 200433 China Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Shanghai 200093 China
Sleep disorders affect hundreds of millions globally, with accurate assessment of sleep apnea (SA) and sleep staging (SS) essential for clinical diagnosis and early intervention. Manual analysis by sleep experts is ti...
来源: 评论
PLTN: Noisy Label Learning in Long-Tailed medical images with Adaptive Prototypes
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Neurocomputing 2025年
作者: Zhiqing He Jie Xu Peng Huang Qin Wang Yuanyuan Wang Yi Guo Department of Biomedical Engineering School of Information Science and Technology Fudan University Shanghai China Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Shanghai China
Label noise poses a significant challenge in medical image classification, particularly for minority diseases in long-tailed distribution. Most Noisy Label Learning methods rely on clean sample selection to learn repr... 详细信息
来源: 评论