Artificial Intelligence Medical Compendium

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

Showing 18,011 to 18,020 of 214,033 articles

A CUBS-Compatible Ultrasound Morphology and Uncertainty-Aware Baseline for Carotid Intima-Media Segmentation and Preliminary Risk Prediction

arXiv May 14, 2026
Carotid atherosclerosis is a major contributor to ischemic stroke and transient ischemic attack. Conventional ultrasound assessment is commonly based on intima-media thickness, plaque appearance, stenosis degree, and peak systolic velocity, but these... read more 
Computer Vision and Pattern Recognition eess.IV eess.SP

ACE-LoRA: Adaptive Orthogonal Decoupling for Continual Image Editing

arXiv May 14, 2026
State-of-the-art diffusion models often rely on parameter-efficient fine-tuning to perform specialized image editing tasks. However, real-world applications require continual adaptation to new tasks while preserving previously learned knowledge. Desp... read more 
Computer Vision and Pattern Recognition

Learning with Shallow Neural Networks on Cluster-Structured Features

arXiv May 14, 2026
The success of deep learning in high-dimensional settings is often attributed to the presence of low-dimensional structure in real-world data. While standard theoretical models typically assume that this structure lies in the target function, project... read more 
Machine Learning

Road Maps as Free Geometric Priors: Weather-Invariant Drone Geo-Localization with GeoFuse

arXiv May 14, 2026
Drone-view geo-localization aims to match a query drone image, often captured under adverse weather conditions (e.g., rain, snow, fog), against a gallery of geo-tagged satellite images. Weather-induced degradations in the drone view, such as noise, r... read more 
Computer Vision and Pattern Recognition cs.LG

SceneParser: Hierarchical Scene Parsing for Visual Semantics Understanding

arXiv May 14, 2026
General scene perception has progressed from object recognition toward open-vocabulary grounding, part localization, and affordance prediction. Yet these capabilities are often realized as isolated predictions that localize objects, parts, or interac... read more 
Computer Vision and Pattern Recognition

Representative Attention For Vision Transformers

arXiv May 14, 2026
Linear attention has emerged as a promising direction for scaling Vision Transformers beyond the quadratic cost of dense self-attention. A prevalent strategy is to compress spatial tokens into a compact set of intermediate proxies that mediate global... read more 
Computer Vision and Pattern Recognition

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models

arXiv May 14, 2026
Memory is essential for large vision-language models (LVLMs) to handle long, multimodal interactions, with two method directions providing this capability: long-context LVLMs and memory-augmented agents. However, no existing benchmark conducts a syst... read more 
Computer Vision and Pattern Recognition

Hierarchical Image Tokenization for Multi-Scale Image Super Resolution

arXiv May 14, 2026
We introduce a multi-scale Image Super Resolution (ISR) method building on recent advances in Visual Auto-Regressive (VAR) modeling. VAR models break image tokenization into additive, gradually increasing scales, using Residual Quantization (RQ), an ... read more 
Computer Vision and Pattern Recognition

PROCESS-2: A Benchmark Speech Corpus for Early Cognitive Impairment Detection

arXiv May 14, 2026
Speech-based analysis offers a scalable and non-invasive approach for detecting cognitive decline, yet progress has been constrained by the limited availability of clinically validated datasets collected under realistic conditions. We introduce PROCE... read more 
Sound cs.LG

Masked Next-Scale Prediction for Self-supervised Scene Text Recognition

arXiv May 14, 2026
Scene Text Recognition requires modeling visual structures that evolve from coarse layouts to fine-grained character strokes. Training such models relies on large amounts of annotated data. Recent self-supervised approaches, such as Masked Image Mode... read more 
Computer Vision and Pattern Recognition
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