Leveraging Language Embeddings from EMA Surveys to Predict Perceived Social Isolation among Stroke Survivors [0.03%]
利用EMA调查中的语言嵌入预测卒中幸存者的感知社会隔离感
Yunda Liu,Alex W K Wong,Mandy W M Fong et al.
Yunda Liu et al.
Perceived social isolation (PSI) significantly affects the emotional well-being of stroke survivors, necessitating effective monitoring and prediction for timely, targeted interventions. While Ecological Momentary Assessment (EMA) has been ...
TFDF: Self-Supervised Time-Frequency Dynamic Fusion with Dual Constraints for Atrial Fibrillation Detection [0.03%]
基于双约束自监督时频动态融合的房颤检测方法研究
Yunfan Chen,Sizhen Li,Xiangkui Wan et al.
Yunfan Chen et al.
Atrial fibrillation (AF) is the most common paroxysmal cardiac arrhythmia, requiring continuous wearable electrocardiogram (ECG) monitoring for early detection. Supervised AF detection methods rely on extensive annotated ECG data, which is ...
RetinexDA: Progressive Disentanglement Domain Adaptation for Unsupervised Cross-Modality Medical Image Segmentation [0.03%]
基于渐进式分解的无监督跨模态医学图像分割领域适应方法
Yixuan Wu,Mingze Yin,Zitai Kong et al.
Yixuan Wu et al.
Deep neural networks have achieved strong performance in medical image segmentation when the training and testing data share similar appearance characteristics. However, this assumption is rarely satisfied in practical clinical scenarios, w...
SAVLT: Structure-Aware Vision-Language Tuning for Multi-Center Cervical OCT Diagnosis [0.03%]
基于结构感知的视觉语言调适模型用于多中心宫颈OCT诊断挑战任务
Mi Yin,Yuchen Pei,Yixiong Zou et al.
Mi Yin et al.
Cervical optical coherence tomography (OCT) enables micrometer-scale visualization of tissue, yet trustworthy diagnosis under limited supervision remains challenging. While vision-language models (VLMs) offer a solution by leveraging consis...
Self-Supervised Contrastive Learning With Attention Fusion for Enhanced Breast Cancer Diagnosis From Mammography [0.03%]
一种带有注意融合的自监督对比学习方法，用于提高乳腺癌的X线诊断性能
Xiaohong Lyu,Liang Dong,Sihan Wang et al.
Xiaohong Lyu et al.
Screening mammography presents complementary craniocaudal and mediolateral oblique views whose joint interpretation hinges on view-invariance for the same breast and sensitivity to contralateral asymmetry. We propose a self-supervised anato...
Privacy Concerns in the Use of Instant Messaging Apps in Healthcare: a Systematic Review [0.03%]
即时通讯应用程序在医疗保健中的使用隐私问题系统评价研究
Giorgia Panico,Emanuele Raso,Elisabetta Biasin et al.
Giorgia Panico et al.
Instant messaging applications are an integral part of everyday life, facilitating communication in various settings, including work and healthcare. This systematic review aims to analyze the healthcare contexts in which these applications ...
GAN-GA: A Deep-Evolutionary Approach for Synthesizing Functionally Similar Heat Shock Proteins [0.03%]
基于深度进化的方法合成功能相似的热休克蛋白GAN-GA模型
Anamika Das,Monalisa Mandal
Anamika Das
De novo protein design has emerged as a transformative approach for generating functional proteins without relying on naturally occurring templates, offering vast potential in biomedical and industrial applications. The integration of gener...
Boundary-Aware Attention with Dual-Stream Frequency Fusion for Medical Image Segmentation [0.03%]
基于双频流融合的边界感知注意力机制在医学图像分割中的应用研究
Mingjun Geng,Runmei Hu,Xiangpeng Bi et al.
Mingjun Geng et al.
Medical image segmentation remains challenging due to inherent characteristics such as low contrast, blurred boundaries, and complex anatomical structures. While state space models, particularly Mamba, have demonstrated remarkable capabilit...
NeuroDecoder: A new framework for image decoding and reconstruction of EEG signals [0.03%]
基于EEG信号的图像解码与重建的新框架 NeuroDecoder
Wenxuan Ma,Hongxin Zhang,Yexuan Li et al.
Wenxuan Ma et al.
Brain-Computer Interface (BCI) technology holds great promise for enhancing human health and quality of life, with visual stimulus reconstruction from EEG signals being a key application. However, the complexity and noise of EEG data challe...
Substructure-guided Deep Graph Learning in Molecular Toxicity Prediction [0.03%]
基于子结构的深度图学习在分子毒性预测中的应用研究
Yuting Huang,Debby D Wang
Yuting Huang
Computational toxicity prediction has become a key component in modern drug discovery. Although machine learning or deep learning techniques have reformed this field in recent years, more in-depth studies on addressing data imbalance, missi...