Artificial Intelligence Medical Compendium

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

Showing 38,101 to 38,110 of 223,469 articles

Verify Claimed Text-to-Image Models via Boundary-Aware Prompt Optimization

arXiv Mar 27, 2026
As Text-to-Image (T2I) generation becomes widespread, third-party platforms increasingly integrate multiple model APIs for convenient image creation. However, false claims of using official models can mislead users and harm model owners' reputations,... read more 
Computer Vision and Pattern Recognition

From Pixels to Privacy: Temporally Consistent Video Anonymization via Token Pruning for Privacy Preserving Action Recognition

arXiv Mar 27, 2026
Recent advances in large-scale video models have significantly improved video understanding across domains such as surveillance, healthcare, and entertainment. However, these models also amplify privacy risks by encoding sensitive attributes, includi... read more 
Computer Vision and Pattern Recognition

HINT: Composed Image Retrieval with Dual-path Compositional Contextualized Network

arXiv Mar 27, 2026
Composed Image Retrieval (CIR) is a challenging image retrieval paradigm. It aims to retrieve target images from large-scale image databases that are consistent with the modification semantics, based on a multimodal query composed of a reference imag... read more 
Computer Vision and Pattern Recognition

Reflect to Inform: Boosting Multimodal Reasoning via Information-Gain-Driven Verification

arXiv Mar 27, 2026
Multimodal Large Language Models (MLLMs) achieve strong multimodal reasoning performance, yet we identify a recurring failure mode in long-form generation: as outputs grow longer, models progressively drift away from image evidence and fall back on t... read more 
Computer Vision and Pattern Recognition cs.AI

Generative Score Inference for Multimodal Data

arXiv Mar 27, 2026
Accurate uncertainty quantification is crucial for making reliable decisions in various supervised learning scenarios, particularly when dealing with complex, multimodal data such as images and text. Current approaches often face notable limitations,... read more 
Machine Learning cs.AI cs.LG

DuSCN-FusionNet: An Interpretable Dual-Channel Structural Covariance Fusion Framework for ADHD Classification Using Structural MRI

arXiv Mar 27, 2026
Attention Deficit Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental condition; however, its neurobiological diagnosis remains challenging due to the lack of reliable imaging-based biomarkers, particularly anatomical markers. Stru... read more 
Computer Vision and Pattern Recognition cs.LG

From Pen to Pixel: Translating Hand-Drawn Plots into Graphical APIs via a Novel Benchmark and Efficient Adapter

arXiv Mar 27, 2026
As plots play a critical role in modern data visualization and analysis, Plot2API is launched to help non-experts and beginners create their desired plots by directly recommending graphical APIs from reference plot images by neural networks. However,... read more 
Computer Vision and Pattern Recognition

Multi-scale Metabolic Modeling and Simulation

arXiv Mar 27, 2026
Biological systems are governed by coupled interactions between intracellular metabolism and bioreactor operation that span multiple time scales. Constraint-based metabolic models are widely used to describe intracellular metabolism, but repeatedly s... read more 
Quantitative Methods math.DS math.OC

Restore, Assess, Repeat: A Unified Framework for Iterative Image Restoration

arXiv Mar 27, 2026
Image restoration aims to recover high quality images from inputs degraded by various factors, such as adverse weather, blur, or low light. While recent studies have shown remarkable progress across individual or unified restoration tasks, they still... read more 
Computer Vision and Pattern Recognition

Adapting Frozen Mono-modal Backbones for Multi-modal Registration via Contrast-Agnostic Instance Optimization

arXiv Mar 27, 2026
Deformable image registration remains a central challenge in medical image analysis, particularly under multi-modal scenarios where intensity distributions vary significantly across scans. While deep learning methods provide efficient feed-forward pr... read more 
Image and Video Processing cs.CV
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