Artificial Intelligence Medical Compendium

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

Showing 29,301 to 29,310 of 219,647 articles

CDSA-Net:Collaborative Decoupling of Vascular Structure and Background for High-Fidelity Coronary Digital Subtraction Angiography

arXiv Apr 19, 2026
Digital subtraction angiography (DSA) in coronary imaging is fundamentally challenged by physiological motion, forcing reliance on raw angiograms cluttered with anatomical noise. Existing deep learning methods often produced images with two critical ... read more 
Computer Vision and Pattern Recognition cs.AI

DREAM: Dynamic Retinal Enhancement with Adaptive Multi-modal Fusion for Expert Precision Medical Report Generation

arXiv Apr 19, 2026
Automating medical reports for retinal images requires a sophisticated blend of visual pattern recognition and deep clinical knowledge. Current Large Vision-Language Models (LVLMs) often struggle in specialized medical fields where data is scarce, le... read more 
Computer Vision and Pattern Recognition cs.AI eess.SP

EmbodiedHead: Real-Time Listening and Speaking Avatar for Conversational Agents

arXiv Apr 19, 2026
We present EmbodiedHead, a speech-driven talking-head framework that equips LLMs with real-time visual avatars for conversation. A practical embodied avatar must achieve real-time generation, unified listening-speaking behavior, and high rendered vis... read more 
Computer Vision and Pattern Recognition

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability

arXiv Apr 19, 2026
Vision-Language Models (VLMs) achieve strong cross-modal performance, yet recent evidence suggests they over-rely on textual descriptions while under-utilizing visual evidence -- a phenomenon termed ``text shortcut learning.'' We propose an adversari... read more 
Computer Vision and Pattern Recognition cs.AI

Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging

arXiv Apr 19, 2026
Breast cancer diagnosis demands rapid and precise tools, yet traditional histopathological methods often fall short in intra-operative settings. Deep Ultraviolet (DUV) fluorescence imaging emerges as a transformative approach, offering high-contrast,... read more 
Computer Vision and Pattern Recognition cs.AI eess.SP

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM

arXiv Apr 19, 2026
Personalized image aesthetics assessment (PIAA) aims to predict an individual user's subjective rating of an image, which requires modeling user-specific aesthetic preferences. Existing methods rely on historical user ratings for this modeling and th... read more 
Computer Vision and Pattern Recognition cs.AI

RemoteShield: Enable Robust Multimodal Large Language Models for Earth Observation

arXiv Apr 19, 2026
A robust Multimodal Large Language Model (MLLM) for Earth Observation should maintain consistent interpretation and reasoning under realistic input variations. However, current Remote Sensing MLLMs fail to meet this requirement. Trained on carefully ... read more 
Computer Vision and Pattern Recognition

Fractal Characterization of Low-Correlation Signals in AI-Generated Image Detection

arXiv Apr 19, 2026
AI-generated imagery has reached near-photorealistic fidelity, yet this technology poses significant threats to information security and societal trust. Existing deepfake detection methods often exhibit limited robustness in open-world scenarios. To ... read more 
Computer Vision and Pattern Recognition cs.AI

Depth Adaptive Efficient Visual Autoregressive Modeling

arXiv Apr 19, 2026
Visual Autoregressive (VAR) modeling inefficiently applies a fixed computational depth to each position when generating high-resolution images. While existing methods accelerate inference by pruning tokens using frequency maps, their binary hard-prun... read more 
Computer Vision and Pattern Recognition

Spectral Forensics of Diffusion Attention Graphs for Copy-Move Forgery Detection

arXiv Apr 19, 2026
Copy-move forgery, where a region within an image is duplicated to hide or fabricate content, remains a persistent threat to visual media integrity. We introduce GraphSpecForge, a training-free framework that detects copy-move forgery by analysing th... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals