Artificial Intelligence Medical Compendium

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

Showing 12,031 to 12,040 of 210,314 articles

SpikeReg: Energy-Efficient 3D Deformable Medical Image Registration with Spiking Neural Networks

arXiv May 24, 2026
Deformable medical image registration aligns anatomical structures across images but remains computationally dense at 3D resolution. Spiking neural networks (SNNs) offer sparse event-driven computation, yet have not been systematically studied for de... read more 
Computer Vision and Pattern Recognition

K-U-KAN: Koopman-Enhanced U-KAN for 3D Dental Reconstruction from a Single Panoramic X-ray Radiograph

arXiv May 24, 2026
A panoramic X-ray compresses a 3D jaw into a 2D strip; we aim to recover the missing depth cleanly and fast. Existing implicit neural representations render realistic volumes but are slow to train, sensitive to sampling and positional encodings, and ... read more 
Computer Vision and Pattern Recognition cs.AI

Methodology for Creating a Clinically Verified Dermoscopic Image Dataset

arXiv May 24, 2026
This study presents a methodology for constructing a clinically verified dataset of dermatoscopic images for medical informatics research. The relevance of the work is driven by the fact that the performance of automated diagnostic support systems de... read more 
Computer Vision and Pattern Recognition cs.AI

Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation

arXiv May 24, 2026
Training data for olfaction is scattered through disparate, non-standardized datasets that limit the ability to build representative world models. Olfactory navigation is a highly dynamic and non-stationary task that benefits from real-time continual... read more 
Machine Learning cs.AI cs.ET cs.RO

Discrepancy Minimization Improves Cross-Hospital Robustness in Digital Pathology

arXiv May 24, 2026
Pathology foundation models (PFMs) have advanced rapidly in recent years and support training classifiers for a range of histopathology tasks. However, their robustness across hospitals remains limited: performance often degrades when training a clas... read more 
Computer Vision and Pattern Recognition

Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference

arXiv May 24, 2026
Text-to-image diffusion models like Stable Diffusion generate high-quality images from text, but lack a way to inject visual guidance (e.g. sketches, styles) at inference without retraining. Existing methods either require computationally expensive f... read more 
Computer Vision and Pattern Recognition

Localization then Neutralization: Gradient-guided Token Suppression against Visual Prompt Injection Attack

arXiv May 24, 2026
Adversarial images pose a severe security threat to multimodal large language models through prompt injection. Existing defenses largely lack a principled understanding of the underlying mechanisms and struggle to balance efficiency and defense utili... read more 
Machine Learning

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning

arXiv May 24, 2026
Diffusion models are increasingly used as powerful conditional generators, yet real deployments often involve multiple target distributions arising from different tasks, e.g., diverse prompt domains in text-to-image generation, or multiple environmen... read more 
Machine Learning cs.AI stat.ML

Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation

arXiv May 24, 2026
High-fidelity 3D Gaussian head avatar generation is critical for applications such as AR/VR, telepresence, and digital humans. Existing methods depend on multi-view datasets, 3D captures, or intermediate 2D view synthesis. In contrast, we learn both ... read more 
Computer Vision and Pattern Recognition cs.GR cs.RO

Guess the Unified Model: How Much Can We Recover from Generated Images?

arXiv May 24, 2026
With unified model-generated images now widespread online, attributing their model of origin offers a path toward transparency and deeper insight into the characteristic behaviors of individual models. Prior work has explored provenance in LLM-genera... read more 
Computer Vision and Pattern Recognition cs.AI
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