Artificial Intelligence Medical Compendium

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

Showing 49,321 to 49,330 of 224,513 articles

Style-Aware Gloss Control for Generative Non-Photorealistic Rendering

arXiv Feb 18, 2026
Humans can infer material characteristics of objects from their visual appearance, and this ability extends to artistic depictions, where similar perceptual strategies guide the interpretation of paintings or drawings. Among the factors that define m... read more 
Graphics cs.CV

Unpaired Image-to-Image Translation via a Self-Supervised Semantic Bridge

arXiv Feb 18, 2026
Adversarial diffusion and diffusion-inversion methods have advanced unpaired image-to-image translation, but each faces key limitations. Adversarial approaches require target-domain adversarial loss during training, which can limit generalization to ... read more 
Computer Vision and Pattern Recognition

VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection

arXiv Feb 18, 2026
Time-series anomaly detection (TSAD) requires identifying both immediate Point Anomalies and long-range Context Anomalies. However, existing foundation models face a fundamental trade-off: 1D temporal models provide fine-grained pointwise localizatio... read more 
Computer Vision and Pattern Recognition

Are Object-Centric Representations Better At Compositional Generalization?

arXiv Feb 18, 2026
Compositional generalization, the ability to reason about novel combinations of familiar concepts, is fundamental to human cognition and a critical challenge for machine learning. Object-centric (OC) representations, which encode a scene as a set of ... read more 
Computer Vision and Pattern Recognition cs.LG

Synthetic-Powered Multiple Testing with FDR Control

arXiv Feb 18, 2026
Multiple hypothesis testing with false discovery rate (FDR) control is a fundamental problem in statistical inference, with broad applications in genomics, drug screening, and outlier detection. In many such settings, researchers may have access not ... read more 
Methodology cs.LG stat.ML

Parameter-free representations outperform single-cell foundation models on downstream benchmarks

arXiv Feb 18, 2026
Single-cell RNA sequencing (scRNA-seq) data exhibit strong and reproducible statistical structure. This has motivated the development of large-scale foundation models, such as TranscriptFormer, that use transformer-based architectures to learn a gene... read more 
Genomics cs.LG q-bio.QM

Learning Humanoid End-Effector Control for Open-Vocabulary Visual Loco-Manipulation

arXiv Feb 18, 2026
Visual loco-manipulation of arbitrary objects in the wild with humanoid robots requires accurate end-effector (EE) control and a generalizable understanding of the scene via visual inputs (e.g., RGB-D images). Existing approaches are based on real-wo... read more 
Robotics cs.CV

Knowledge-Embedded Latent Projection for Robust Representation Learning

arXiv Feb 18, 2026
Latent space models are widely used for analyzing high-dimensional discrete data matrices, such as patient-feature matrices in electronic health records (EHRs), by capturing complex dependence structures through low-dimensional embeddings. However, e... read more 
Machine Learning math.ST stat.ME

LiveClin: A Live Clinical Benchmark without Leakage

arXiv Feb 18, 2026
The reliability of medical LLM evaluation is critically undermined by data contamination and knowledge obsolescence, leading to inflated scores on static benchmarks. To address these challenges, we introduce LiveClin, a live benchmark designed for ap... read more 
Machine Learning cs.AI

U-FedTomAtt: Ultra-lightweight Federated Learning with Attention for Tomato Disease Recognition

arXiv Feb 18, 2026
Federated learning has emerged as a privacy-preserving and efficient approach for deploying intelligent agricultural solutions. Accurate edge-based diagnosis across geographically dispersed farms is crucial for recognising tomato diseases in sustaina... read more 
Quantitative Methods cs.LG
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