Artificial Intelligence Medical Compendium

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

Showing 20,021 to 20,030 of 215,962 articles

Selection, Not Fusion: Radar-Modulated State Space Models for Radar-Camera Depth Estimation

arXiv May 12, 2026
Radar-camera depth estimation must turn an ultra-sparse, all-weather, metric radar signal into a dense per-pixel depth map. Existing methods -- concatenation, confidence-aware gating, sparse supervision, graph-based extraction -- combine radar and im... read more 
Computer Vision and Pattern Recognition

Martingale-Consistent Self-Supervised Learning

arXiv May 12, 2026
Self-supervised learning (SSL) is often deployed under changing information, such as shorter histories, missing features, or partially observed images. In these settings, predictions from coarse and refined views should be coherent: before refinement... read more 
Machine Learning cs.AI

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs

arXiv May 12, 2026
Multimodal large language models are increasingly expected to perform thinking with images, yet existing visual latent reasoning methods still rely on explicit textual chain-of-thought interleaved with visual latent tokens. This interleaved design li... read more 
Computer Vision and Pattern Recognition cs.CL

Very Efficient Listwise Multimodal Reranking for Long Documents

arXiv May 12, 2026
Listwise reranking is a key yet computationally expensive component in vision-centric retrieval and multimodal retrieval-augmented generation (M-RAG) over long documents. While recent VLM-based rerankers achieve strong accuracy, their practicality is... read more 
Information Retrieval cs.AI cs.CV cs.MM

When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRI

arXiv May 12, 2026
Structural MRI-to-amyloid PET synthesis has been proposed as a non-invasive alternative for amyloid assessment in Alzheimer's disease (AD). However, reported performance of identical models varies widely across studies, and increasingly complex archi... read more 
Computer Vision and Pattern Recognition

Few-Shot Synthetic Data Generation with Diffusion Models for Downstream Vision Tasks

arXiv May 12, 2026
Class imbalance is a persistent challenge in visual recognition, particularly in safety-critical domains where collecting positive examples is expensive and rare events are inherently underrepresented. We propose a lightweight synthetic data augmenta... read more 
Computer Vision and Pattern Recognition

Mobile Traffic Camera Calibration from Road Geometry for UAV-Based Traffic Surveillance

arXiv May 12, 2026
Unmanned aerial vehicles (UAVs) can provide flexible traffic surveillance where fixed roadside cameras are unavailable, costly, or impractical. However, raw UAV video is difficult to use for traffic analytics because vehicle motion is observed in per... read more 
Computer Vision and Pattern Recognition

Vector Scaffolding: Inter-Scale Orchestration for Differentiable Image Vectorization

arXiv May 12, 2026
Differentiable vector graphics have enabled powerful gradient-based optimization of vector primitives directly from raster images. However, existing frameworks formulate this as a flat optimization problem, forcing hundreds to thousands of randomly i... read more 
Computer Vision and Pattern Recognition

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning

arXiv May 12, 2026
Federated graph learning (FGL) enables collaborative training on graph data across multiple clients. As graph data increasingly contain multimodal node attributes such as text and images, multimodal federated graph learning (MM-FGL) has become an imp... read more 
Machine Learning

RealDiffusion: Physics-informed Attention for Multi-character Storybook Generation

arXiv May 12, 2026
While modern diffusion models excel at generating diverse single images, extending this to sequential generation reveals a fundamental challenge: balancing narrative dynamism with multi-character coherence. Existing methods often falter at this trade... read more 
Computer Vision and Pattern Recognition
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