Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 59,921 to 59,930 of 228,014 articles

CTSSP: A temporal-spectral-spatial joint optimization algorithm for motor imagery EEG decoding.

Journal of neural engineering Jan 20, 2026
Objective.Motor imagery brain-computer interfaces hold significant promise for neurorehabilitation, yet their performance is often compromised by electroencephalography (EEG) non-stationarity, low signal-to-noise ratios, and severe cross-session vari... read more 
Humans Algorithms Electroencephalography Brain-Computer Interfaces Motor Cortex Imagination

Optical Linear Systems Framework for Event Sensing and Computational Neuromorphic Imaging

arXiv Jan 20, 2026
Event vision sensors (neuromorphic cameras) output sparse, asynchronous ON/OFF events triggered by log-intensity threshold crossings, enabling microsecond-scale sensing with high dynamic range and low data bandwidth. As a nonlinear system, this event... read more 
Computer Vision and Pattern Recognition

GO-MLVTON: Garment Occlusion-Aware Multi-Layer Virtual Try-On with Diffusion Models

arXiv Jan 20, 2026
Existing Image-based virtual try-on (VTON) methods primarily focus on single-layer or multi-garment VTON, neglecting multi-layer VTON (ML-VTON), which involves dressing multiple layers of garments onto the human body with realistic deformation and la... read more 
Computer Vision and Pattern Recognition

MN-TSG:Continuous Time Series Generation with Irregular Observations

arXiv Jan 20, 2026
Time series generation (TSG) plays a critical role in a wide range of domains, such as healthcare. However, most existing methods assume regularly sampled observations and fixed output resolutions, which are often misaligned with real-world scenarios... read more 
Machine Learning cs.AI

DiffFace-Edit: A Diffusion-Based Facial Dataset for Forgery-Semantic Driven Deepfake Detection Analysis

arXiv Jan 20, 2026
Generative models now produce imperceptible, fine-grained manipulated faces, posing significant privacy risks. However, existing AI-generated face datasets generally lack focus on samples with fine-grained regional manipulations. Furthermore, no rese... read more 
Computer Vision and Pattern Recognition

Multi-objective fluorescent molecule design with a data-physics dual-driven generative framework

arXiv Jan 20, 2026
Designing fluorescent small molecules with tailored optical and physicochemical properties requires navigating vast, underexplored chemical space while satisfying multiple objectives and constraints. Conventional generate-score-screen approaches beco... read more 
Machine Learning cs.AI physics.chem-ph q-bio.BM

Learning Fine-Grained Correspondence with Cross-Perspective Perception for Open-Vocabulary 6D Object Pose Estimation

arXiv Jan 20, 2026
Open-vocabulary 6D object pose estimation empowers robots to manipulate arbitrary unseen objects guided solely by natural language. However, a critical limitation of existing approaches is their reliance on unconstrained global matching strategies. I... read more 
Computer Vision and Pattern Recognition cs.RO eess.IV

DCCVT: Differentiable Clipped Centroidal Voronoi Tessellation

arXiv Jan 20, 2026
While Marching Cubes (MC) and Marching Tetrahedra (MTet) are widely adopted in 3D reconstruction pipelines due to their simplicity and efficiency, their differentiable variants remain suboptimal for mesh extraction. This often limits the quality of 3... read more 
Computational Geometry

Fisher-Informed Parameterwise Aggregation for Federated Learning with Heterogeneous Data

arXiv Jan 20, 2026
Federated learning aggregates model updates from distributed clients, but standard first order methods such as FedAvg apply the same scalar weight to all parameters from each client. Under non-IID data, these uniformly weighted updates can be strongl... read more 
Machine Learning

CARPE: Context-Aware Image Representation Prioritization via Ensemble for Large Vision-Language Models

arXiv Jan 20, 2026
Recent advancements in Large Vision-Language Models (LVLMs) have pushed them closer to becoming general-purpose assistants. Despite their strong performance, LVLMs still struggle with vision-centric tasks such as image classification, underperforming... read more 
Computer Vision and Pattern Recognition cs.AI
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