Artificial Intelligence Medical Compendium

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

Showing 28,991 to 29,000 of 219,647 articles

ZSG-IAD: A Multimodal Framework for Zero-Shot Grounded Industrial Anomaly Detection

arXiv Apr 20, 2026
Deep learning-based industrial anomaly detectors often behave as black boxes, making it hard to justify decisions with physically meaningful defect evidence. We propose ZSG-IAD, a multimodal vision-language framework for zero-shot grounded industrial... read more 
Computer Vision and Pattern Recognition

Federated Rule Ensemble Method in Medical Data

arXiv Apr 20, 2026
Machine learning has become integral to medical research and is increasingly applied in clinical settings to support diagnosis and decision-making; however, its effectiveness depends on access to large, diverse datasets, which are limited within sing... read more 
Machine Learning stat.ME

Chatting about Upper-Body Expressive Human Pose and Shape Estimation

arXiv Apr 20, 2026
Expressive Human Pose and Shape Estimation (EHPS) plays a crucial role in various AR/VR applications and has witnessed significant progress in recent years. However, current state-of-the-art methods still struggle with accurate parameter estimation f... read more 
Computer Vision and Pattern Recognition cs.GR

DifFoundMAD: Foundation Models meet Differential Morphing Attack Detection

arXiv Apr 20, 2026
In this work, we introduce DifFoundMAD, a parameter-efficient D-MAD framework that exploits the generalisation capabilities of vision foundation models (FM) to capture discrepancies between suspected morphs and live capture images. In contrast to con... read more 
Computer Vision and Pattern Recognition

MU-GeNeRF: Multi-view Uncertainty-guided Generalizable Neural Radiance Fields for Distractor-aware Scene

arXiv Apr 20, 2026
Generalizable Neural Radiance Fields (GeNeRFs) enable high-quality scene reconstruction from sparse views and can generalize to unseen scenes. However, in real-world settings, transient distractors break cross-view structural consistency, corrupting ... read more 
Computer Vision and Pattern Recognition

Identifying Ethical Biases in Action Recognition Models

arXiv Apr 20, 2026
Human Action Recognition (HAR) models are increasingly deployed in high-stakes environments, yet their fairness across different human appearances has not been analyzed. We introduce a framework for auditing bias in HAR models using synthetic video d... read more 
Computer Vision and Pattern Recognition

Trustworthy Endoscopic Super-Resolution

arXiv Apr 20, 2026
Super-resolution (SR) models are attracting growing interest for enhancing minimally invasive surgery and diagnostic videos under hardware constraints. However, valid concerns remain regarding the introduction of hallucinated structures and amplified... read more 
Computer Vision and Pattern Recognition

CFSR: Geometry-Conditioned Shadow Removal via Physical Disentanglement

arXiv Apr 20, 2026
Traditional shadow removal networks often treat image restoration as an unconstrained mapping, lacking the physical interpretability required to balance localized texture recovery with global illumination consistency. To address this, we propose CFSR... read more 
Computer Vision and Pattern Recognition

HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval

arXiv Apr 20, 2026
Composed Image Retrieval (CIR) is a flexible image retrieval paradigm that enables users to accurately locate the target image through a multimodal query composed of a reference image and modification text. Although this task has demonstrated promisi... read more 
Computer Vision and Pattern Recognition

INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval

arXiv Apr 20, 2026
Composed Image Retrieval (CIR) is a challenging image retrieval paradigm that enables to retrieve target images based on multimodal queries consisting of reference images and modification texts. Although substantial progress has been made in recent y... read more 
Computer Vision and Pattern Recognition
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