ASA-ED: Automated Stress Assessment Via Emotion-Awareness-Driven Deep Hybrid Learning Fusing MTF and RP [0.03%]
基于情感感知驱动的MTF和RP深度融合的自动压力评估方法
Mi Li,Yanbo Chen,Junzhe Li et al.
Mi Li et al.
Currently, most studies on mental stress evaluation mainly focus on classification tasks, while research on accurately estimating continuous stress levels using deep learning for early identification remains limited. This study proposes an ...
Biomedical Knowledge Graph Alignment with GPT-Augmented Similarity Feature Construction via Tree-based Particle Swarm Optimization and Adaptive Fitness Optimization [0.03%]
基于树粒子群优化和自适应适配度优化的GPT增强相似特征构建的生物医学知识图谱对齐
Xingsi Xue,Xingwang Li,Himanshu Dhumras
Xingsi Xue
Accurate biomedical Knowledge Graph (KG) alignment is critical for integrating heterogeneous biomedical information and enabling reliable downstream applications, such as clinical decision support, biomedical search, and personalized health...
MILA-MIL:Mamba-Inspired Linear Attention Multiple Instance Learning for Whole-Slide Image Survival Prediction [0.03%]
灵蛇启发的线性注意力多重实例学习用于全景病理图像生存预测模型：MILA-MIL
Xinyu Li,Ziwei Hu,Xinlin Zhang et al.
Xinyu Li et al.
Survival prediction using Whole-Slide Images (WSIs) is a cornerstone of precision oncology, yet it remains a formidable challenge due to the massive scale of gigapixel images and the intricate heterogeneity of the tumor microenvironment. Wh...
Semi-URF: Progressive Uncertainty-Aware Region Filtering and Fusion for Semi-Supervised Medical Image Segmentation [0.03%]
基于不确定性感知区域过滤和融合的半监督医学图像分割方法
Qingyu Yang,Baiying Lei,Huifang Huang
Qingyu Yang
Semi-supervised learning for medical image segmentation is often hindered by a conservative approach to unlabeled data, where information-rich yet uncertain regions-such as complex structures and ambiguous boundaries-are typically discarded...
Structure-Semantic Guided MRI-to-PET Synthesis with Spatial-Frequency Discriminator [0.03%]
基于结构语义的MRI-到-PET图像合成.spatial-frequency判别器引导式
Xin Song,Ke Wang,Meimei Li et al.
Xin Song et al.
Multi-modal medical imaging plays a vital role in clinical decision-making by providing complementary anatomical and functional information. In particular, the combination of Magnetic Resonance Imaging (MRI) and Positron Emission Tomography...
Stacking Deep Neural Networks to Detect Multiple Types of Cardiac Arrhythmias [0.03%]
深度神经网络的堆叠用于多种心律失常的检测
Din Sadia,KangYoon Lee,Sghaier Guizani et al.
Din Sadia et al.
Heart arrhythmias are associated with serious cardiovascular diseases and can result in fatal outcomes if not diagnosed early. Electrocardiograms (ECG) are generally used to diagnose heart arrhythmias. Prior studies employ deep learning arc...
A Multicenter Standardized Gait Database from the ORITEL Network for Cerebral Palsy Gait Analysis [0.03%]
ORITEL脑瘫步态分析多中心标准化步行数据库
Rosario Ulloa,Esteban J Pino,Monica Morante et al.
Rosario Ulloa et al.
Gait analysis is a cornerstone of clinical decision-making in cerebral palsy (CP), yet multicenter variability limits comparability and translation. This work reports the creation of a standardized, multicenter gait database and a machine l...
Classifying ADHD Presentations Using Temporally Segmented Behavioral Data from a Serious Game [0.03%]
基于严肃游戏行为数据的时间段分类注意力缺陷多动障碍类型
Seung-Jae Kim,Jun-Su Kim,Unhui Jo et al.
Seung-Jae Kim et al.
Distinguishing attention deficit/hyperactivity disorder (ADHD) presentations, such as predominantly inattentive (ADHD-I) and hyperactive/impulsive (ADHD-HI), is clinically important for management. However, traditional ADHD assessments ofte...
Image2Gene: A Minimalist and Weakly-Supervised Framework for Morphology-Aligned Gene Expression Prediction From Histology Images [0.03%]
基于组织学图像的形态一致的基因表达预测的 minimalist 和弱监督框架
Weiqi Fu,Xiongwen Quan,Shuang Bai et al.
Weiqi Fu et al.
Gene expression prediction from histological images offers a promising approach for spatial transcriptome analysis without expensive sequencing. We present Image2Gene, a simple yet effective weakly supervised contrastive learning framework ...
LELN: A Large Language Model-Dynamically Enhanced Learning Network for Patient Similarity Calculation [0.03%]
基于大规模语言模型动态增强的学习网络在患者相似性计算中的应用（LELN）
Zhichao Zhu,Bo Bai,Jianqiang Li et al.
Zhichao Zhu et al.
The rapid expansion of Electronic Medical Record (EMR) data has advanced AI-driven patient similarity computation, a key technology for intelligent healthcare. However, the handling of heterogeneous EMR formats and the integration of domain...