Artificial Intelligence Medical Compendium

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

Showing 1,611 to 1,620 of 213,568 articles

WREN: Low Light Image Enhancement Using Retinex theory-based Double U-Net-like Structures

arXiv Jul 17, 2026
This paper proposes a neural network for low light image enhancement (LLIE) based on retinex theory to make LLIE robust for various dynamic range scenes. The retinex theory is an image formulation model inspired by a human color perception hypothesis... read more 
Computer Vision and Pattern Recognition

Benchmarking MRI Representations for Deep Learning-Based Focal Cortical Dysplasia Segmentation

arXiv Jul 17, 2026
Focal cortical dysplasia (FCD) is one of the leading structural causes of drug-resistant focal epilepsy, yet its subtle and heterogeneous imaging characteristics make accurate identification and delineation challenging on conventional magnetic resona... read more 
Computer Vision and Pattern Recognition

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification

arXiv Jul 17, 2026
Vision-language models trained with contrastive objectives have shown promise in medical image analysis. However, conventional global image-text alignment is ill-suited for mammography, where diagnostically relevant lesions are spatially localized an... read more 
Computer Vision and Pattern Recognition

StructGen: Disambiguating Multi-Reference Image Generation via Structured Context Modeling

arXiv Jul 17, 2026
Multi-reference image generation aims to synthesize images by integrating attributes from multiple reference images under textual instructions. As the number of references increases, the task necessitates complex semantic comprehension, such as corre... read more 
Computer Vision and Pattern Recognition

BCG-Former: Toward Pareto-Efficient Hyperspectral Image Classification via Band-Contextual Gating

arXiv Jul 17, 2026
Hyperspectral image (HSI) classification systems are increasingly deployed on platforms with strict computational budgets, such as UAVs and small spaceborne sensors. In these settings, accuracy alone is not enough; the model must also run within tigh... read more 
Computer Vision and Pattern Recognition

CSS-BA: Gate-Guided Column Space Search for Bundle Adjustment

arXiv Jul 17, 2026
Bundle adjustment (BA) remains a critical refinement module for image-based 3D reconstruction and continues to improve geometric accuracy even in learning-based pipelines. However, in low-parallax and near-rotational regimes, classical Schur-based Le... read more 
Computer Vision and Pattern Recognition

Do Agents Dream of False Memories? Black-box Visual Attacks on Long-term Memory in Multimodal AI Agents

arXiv Jul 17, 2026
Multimodal AI agents increasingly rely on persistent long-term memory to ground generation in past visual and textual episodes. We show that unconditional trust in visual data creates a critical vulnerability. We propose Lucid, a black-box adversaria... read more 
Cryptography and Security cs.CV cs.LG

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach

arXiv Jul 17, 2026
Large vision-language models (LVLMs) can be adapted to specialized medical imaging tasks via parameter-efficient fine-tuning approaches such as low-rank adaptation (LoRA), leading to a growing ecosystem of expert models tailored to specific imaging m... read more 
Computer Vision and Pattern Recognition

PE-Field 4D: Video Generation Models as Canvas

arXiv Jul 17, 2026
Diffusion Transformers have recently achieved strong performance in video generation, yet controlling scene geometry under viewpoint changes and camera motion remains challenging. In this work, we revisit the role of positional encoding in video diff... read more 
Computer Vision and Pattern Recognition

Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework

arXiv Jul 17, 2026
Multimodal-attributed graphs (MAGs), whose nodes carry modalities such as images and text alongside topological structure, now pervade applications including social platforms, e-commerce, and biomedical networks, offering richer semantic signals than... read more 
Machine Learning
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