Anatomy-Guided Spatiotemporal Affinity Learning for Unsupervised Domain Adaptation in Echocardiography Segmentation [0.03%]
解剖学引导的时空亲和性学习在超声心动图分割中的无监督领域自适应技术
Xinyan Fang,Xinghua Ma,Yang Liu et al.
Xinyan Fang et al.
Unsupervised domain adaptation for left ventricle segmentation in echocardiography is critical to enhance clinical applicability across different devices and institutions. However, it remains highly challenging due to anatomical context shi...
Unsupervised Deep Learning-based Keypoint Localization Estimating Descriptor Matching Performance [0.03%]
基于无监督深度学习的特征点定位及描述子匹配性能估计方法
David Rivas-Villar,Alvaro S Hervella,Jose Rouco et al.
David Rivas-Villar et al.
Retinal image registration, particularly for color fundus images, is a challenging yet essential task with diverse clinical applications. Existing registration methods for color fundus images typically rely on keypoints and descriptors for ...
MHCL: Multi-modal Hierarchical Contrastive Learning for Physiological Signal-Based Vigilance Detection [0.03%]
基于生理信号的警觉性检测的多模态分层对比学习（MHCL）
Yucheng Liu,Gaoyan Zhang
Yucheng Liu
Vigilance detection using physiological signals is critical for safety-sensitive applications such as driver monitoring. However, accurately capturing vigilance-related patterns across different individuals remains a challenge due to indivi...
Explainable Deep Learning Framework for Multimodal Brain Tumor Classification via Neuroimaging Attribute Extraction [0.03%]
基于神经影像属性提取的多模态脑肿瘤分类的可解释深度学习框架
Long Bao,Shakir Khan,Yimin Wang et al.
Long Bao et al.
Accurate grading of brain tumors from multiparametric MRI is a critical step in treatment planning, yet deep learning models trained for this task remain opaque in their reasoning, limiting their acceptance in clinical settings that require...
Semi-Supervised Medical Image Segmentation with Dual-View Differential Feature Reinjection [0.03%]
基于双视角差分特征回灌的半监督医学图像分割方法
Sibo Qiao,Hualin Liu,Mengru Huang et al.
Sibo Qiao et al.
The growing availability of multi-institutional medical imaging data, facilitated by emerging 6G networks, enables large-scale 3D segmentation studies. However, voxel-wise annotation remains costly and scarce, and existing semi-supervised m...
Accurate Protein Submitochondrial Localization Using Pre-Training and Adaptive Sampling Enhanced Deep Learning Model [0.03%]
基于预训练和自适应采样增强的深度学习模型的蛋白质亚线粒体定位方法
Ting Zhu,Yuanyuan Liu,Guosheng Han
Ting Zhu
Mitochondria consist of four primary submitochondrial compartments: the matrix, outer membrane, inner membrane, and intermembrane space. However, current research has generated relatively limited experimental data on the intermembrane space...
MFS-VQ-VAE: Synthesizing 7T-like MR images from 1.5T MR images with Prompt Attention in VQ-VAE [0.03%]
具有提示注意的VQ-VAE从1.5T磁共振图像合成类似7T的磁共振图像(MFS-VQ-VAE)
XingHe Xie,LuYi Han,Yue Sun et al.
XingHe Xie et al.
Magnetic resonance imaging (MRI) images exhibit significant quality differences at varying magnetic field strengths, such as 1.5T, 3T, and 7T. Higher magnetic field strengths generally provide better tissue contrast and richer structural de...
AI-Driven Prediction of Cancer Pain Episodes: A Hybrid Decision Support Approach [0.03%]
基于人工智能的癌症疼痛发作预测：一种混合决策支持方法
Yipeng Zhuang,Yifeng Guo,Yuewen Li et al.
Yipeng Zhuang et al.
Lung cancer patients frequently experience breakthrough pain episodes, with up to 91% requiring timely intervention. To enable proactive pain management, we propose a hybrid machine learning and large language model pipeline that predicts p...
EEGDTF: Time-Frequency Disentangled Diffusion for High-Fidelity EEG Signal Generation [0.03%]
EEGDTF：高保真EEG信号生成的时频解耦扩散模型
Chenyu Hu,Siyue Liang,Rui Li et al.
Chenyu Hu et al.
EEG signal generation is hindered by challenges such as complex time-frequency structures, the lack of explicit spectral modeling, limited data availability, and limited generalization across subjects and tasks. To address these issues, we ...
A Synergy-Coherence Integration Method for Real-Time Knee Contact Force Estimation under Multiple Gait Patterns [0.03%]
多步态模式下的实时膝关节接触力估计算法的协同整合方法研究
Yibo Han,Xianzhong Li,Di Shi et al.
Yibo Han et al.
Accurate real-time estimation of medial knee contact force (KCF) is essential for knee osteoarthritis research and rehabilitation assessment. To overcome the limitations of existing methods such as numerous sensors requirements and insuffic...