Artificial Intelligence Medical Compendium

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

Showing 27,071 to 27,080 of 218,547 articles

Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction

arXiv Apr 24, 2026
Objective: Decoding visual information from electroencephalography (EEG) is an important problem in neuroscience and brain-computer interface (BCI) research. Existing methods are largely restricted to natural images and categorical representations, w... read more 
Neural and Evolutionary Computing cs.CV

PASR: Pose-Aware 3D Shape Retrieval from Occluded Single Views

arXiv Apr 24, 2026
Single-view 3D shape retrieval is a fundamental yet challenging task that is increasingly important with the growth of available 3D data. Existing approaches largely fall into two categories: those using contrastive learning to map point cloud featur... read more 
Computer Vision and Pattern Recognition

Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe

arXiv Apr 24, 2026
Graph neural networks achieve strong node-classification accuracy, but their learned message passing entangles ego attributes, neighborhood smoothing, high-pass graph differences, class geometry, and classifier boundaries in an opaque representation.... read more 
Machine Learning

Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis

arXiv Apr 24, 2026
Respiratory airflow signals provide critical insight into breathing mechanics, yet conventional analysis methods remain limited in their ability to characterize the internal structure of individual breaths. Traditional approaches treat airflow as a q... read more 
Signal Processing cs.LG

Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model

arXiv Apr 24, 2026
Understanding and predicting the progression of neurodegenerative diseases remains a major challenge in medical AI, with significant implications for early diagnosis, disease monitoring, and treatment planning. However, most available longitudinal ne... read more 
Computer Vision and Pattern Recognition

Long-tail Internet photo reconstruction

arXiv Apr 24, 2026
Internet photo collections exhibit an extremely long-tailed distribution: a few famous landmarks are densely photographed and easily reconstructed in 3D, while most real-world sites are represented with sparse, noisy, uneven imagery beyond the capabi... read more 
Computer Vision and Pattern Recognition

Graph Neural Network-Informed Predictive Flows for Faster Ford-Fulkerson and PAC-Learnability

arXiv Apr 23, 2026
We propose a learning-augmented framework for accelerating max-flow computation and image segmentation by integrating Graph Neural Networks (GNNs) with the Ford-Fulkerson algorithm. Rather than predicting initial flows, our method learns edge importa... read more 
Machine Learning cs.DS

WildSplatter: Feed-forward 3D Gaussian Splatting with Appearance Control from Unconstrained Images

arXiv Apr 23, 2026
We propose WildSplatter, a feed-forward 3D Gaussian Splatting (3DGS) model for unconstrained images with unknown camera parameters and varying lighting conditions. 3DGS is an effective scene representation that enables high-quality, real-time renderi... read more 
Computer Vision and Pattern Recognition

A Probabilistic Framework for Improving Dense Object Detection in Underwater Image Data via Annealing-Based Data Augmentation

arXiv Apr 23, 2026
Object detection models typically perform well on images captured in controlled environments with stable lighting, water clarity, and viewpoint, but their performance degrades substantially in real-world underwater settings characterized by high vari... read more 
Computer Vision and Pattern Recognition

Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness

arXiv Apr 23, 2026
Multimodal clinical records contain structured measurements and clinical notes recorded over time, offering rich temporal information about the evolution of patient health. Yet these observations are sparse, and whether they are recorded depends on t... read more 
Machine Learning cs.CL stat.ME
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