Artificial Intelligence Medical Compendium

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

Showing 41,591 to 41,600 of 223,853 articles

Low-light Image Enhancement with Retinex Decomposition in Latent Space

arXiv Mar 16, 2026
Retinex theory provides a principled foundation for low-light image enhancement, inspiring numerous learning-based methods that integrate its principles. However, existing methods exhibits limitations in accurately decomposing reflectance and illumin... read more 
Computer Vision and Pattern Recognition

Clinical Priors Guided Lung Disease Detection in 3D CT Scans

arXiv Mar 16, 2026
Accurate classification of lung diseases from chest CT scans plays an important role in computer-aided diagnosis systems. However, medical imaging datasets often suffer from severe class imbalance, which may significantly degrade the performance of d... read more 
Image and Video Processing cs.CV

Clinical Priors Guided Lung Disease Detection in 3D CT Scans

arXiv Mar 16, 2026
Accurate classification of lung diseases from chest CT scans plays an important role in computer-aided diagnosis systems. However, medical imaging datasets often suffer from severe class imbalance, which may significantly degrade the performance of d... read more 
Image and Video Processing cs.CV

SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation

arXiv Mar 16, 2026
Recent advancements in discrete image generation showed that scaling the VQ codebook size significantly improves reconstruction fidelity. However, training generative models with a large VQ codebook remains challenging, typically requiring larger mod... read more 
Computer Vision and Pattern Recognition

TextOVSR: Text-Guided Real-World Opera Video Super-Resolution

arXiv Mar 16, 2026
Many classic opera videos exhibit poor visual quality due to the limitations of early filming equipment and long-term degradation during storage. Although real-world video super-resolution (RWVSR) has achieved significant advances in recent years, di... read more 
Computer Vision and Pattern Recognition

Vision-Language Model Based Multi-Expert Fusion for CT Image Classification

arXiv Mar 16, 2026
Robust detection of COVID-19 from chest CT remains challenging in multi-institutional settings due to substantial source shift, source imbalance, and hidden test-source identities. In this work, we propose a three-stage source-aware multi-expert fram... read more 
Computer Vision and Pattern Recognition

Multimodal Connectome Fusion via Cross-Attention for Autism Spectrum Disorder Classification Using Graph Learning

arXiv Mar 16, 2026
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by atypical functional brain connectivity and subtle structural alterations. rs-fMRI has been widely used to identify disruptions in large-scale brain networks, wh... read more 
Computer Vision and Pattern Recognition cs.AI

Token Coherence: Adapting MESI Cache Protocols to Minimize Synchronization Overhead in Multi-Agent LLM Systems

arXiv Mar 16, 2026
Multi-agent LLM orchestration incurs synchronization costs scaling as O(n x S x |D|) in agents, steps, and artifact size under naive broadcast -- a regime I term broadcast-induced triply-multiplicative overhead. I argue this pathology is a structural... read more 
Distributed, Parallel, and Cluster Computing cs.AI cs.LG cs.MA

PiGRAND: Physics-informed Graph Neural Diffusion for Intelligent Additive Manufacturing

arXiv Mar 16, 2026
A comprehensive understanding of heat transport is essential for optimizing various mechanical and engineering applications, including 3D printing. Recent advances in machine learning, combined with physics-based models, have enabled a powerful fusio... read more 
Machine Learning

Massive Redundancy in Gradient Transport Enables Sparse Online Learning

arXiv Mar 16, 2026
Real-time recurrent learning (RTRL) computes exact online gradients by propagating a Jacobian tensor forward through recurrent dynamics, but at O(n^4) cost per step. Prior work has sought structured approximations (rank-1 compression, graph-based spa... read more 
Machine Learning
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