AI Medical Compendium

AI-Enhanced High-Precision Segmentation and Perfusion Analysis in Myocardial Contrast Echocardiography.

IEEE transactions on cybernetics May 27, 2026

Myocardial contrast echocardiography (MCE) facilitates the quantification of myocardial perfusion and aids in diagnosing coronary artery disease (CAD). However, noise and artifacts in MCE data often hinder accurate perfusion analysis. This study pres... read more

Echocardiography Video Segmentation via Mamba-based Spatiotemporal Synergistic Network and Adaptive-dynamic Learning.

IEEE transactions on medical imaging May 27, 2026

Automatic echocardiography video segmentation is crucial for accurate diagnosis of cardiovascular diseases, as high-quality segmentation significantly improves automated lesion detection. However, deep learning methods still face challenges including... read more

Deep Learning-Based Estimation of Ground Reaction Forces in Parkinsonian Gait Using an Optimized Set of IMU Data.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 27, 2026

Accurate gait analysis in Parkinson's disease (PD) typically relies on laboratory-based systems to capture biomechanical data, such as ground reaction forces (GRFs). Estimating GRFs using inertial measurement units (IMUs) provides a feasible alternat... read more

State-dependent neuromodulation reveals link between online and offline corticospinal excitability.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 27, 2026

The post-intervention effects of non-invasive neuromodulation techniques are critical for their translational potential in neurorehabilitation and depend on the dynamic state of neural networks at the time of stimulation. In the motor system, state-d... read more

Correlation-Guided Recursive Pyramid Network for Deformable Brain MRI Registration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 27, 2026

As a key preprocessing technique in medical image analysis, deformable image registration has remained a research focus over the past decade. Recently, deep learning-based registration methods have become mainstream. Nevertheless, simultaneously hand... read more

Self-Expressive High-Order Tensor Unrolling Network for Unsupervised Hyperspectral and Multispectral Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 27, 2026

Hyperspectral and multispectral image fusion (HMF) enhances spatial-spectral quality by fusing low-resolution hyperspectral images (LR-HSI) with high-resolution multispectral images (HR-MSI). Although recent fusion methods have shown promise in prese... read more

Hierarchical Molecular Attention Network: Improving Molecular Property Prediction Through Substructure Identification.

IEEE transactions on computational biology and bioinformatics May 27, 2026

Few-shot molecular property prediction is a persisting challenge in many biology-related tasks, because the same molecule may exhibit different properties (e.g., active or inactive) in different tasks. Existing methods view all atoms as equally impor... read more

AdPrST:An Adversarial Graph Deep Learning Pre-clustering Framework for Deciphering Spatiotemporal Structures in Spatially Resolved Transcriptomics.

IEEE transactions on computational biology and bioinformatics May 27, 2026

Spatially Resolved Transcriptomics (SRT) has revolutionized our understanding of gene expression within tissue microenvironments, yet accurately deciphering spatiotemporal structures-encompassing spatial domain identification, trajectory inference, a... read more

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting.

IEEE transactions on pattern analysis and machine intelligence May 27, 2026

Multivariate time series forecasting plays a crucial role in various real-world applications. Significant efforts have been made to integrate advanced network architectures and training strategies that enhance the capture of temporal dependencies, th... read more

Hybrid EEG Feature Fusion Framework for Accurate Autism Spectrum Disorder Diagnosis Using Ensemble Learning.

IEEE journal of biomedical and health informatics May 27, 2026

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with increasing global prevalence and no standardized biological test for early detection. Current diagnosis methods rely heavily on behavioral assessments, which are subjective... read more

Artificial Intelligence Medical Compendium