Artificial Intelligence Medical Compendium

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

Showing 29,961 to 29,970 of 219,931 articles

Informational and methodological differences in regional structure-function coupling in modeling approaches

bioRxiv Apr 17, 2026
Structural connectivity in the human brain constrains functional connectivity, which in turn reshapes structural connectivity, resulting in complex coupling relationships. Numerous approaches exist for quantifying structure-function coupling, and dif... read more 
neuroscience

Enhancing Hazy Wildlife Imagery: AnimalHaze3k and IncepDehazeGan

arXiv Apr 17, 2026
Atmospheric haze significantly degrades wildlife imagery, impeding computer vision applications critical for conservation, such as animal detection, tracking, and behavior analysis. To address this challenge, we introduce AnimalHaze3k a synthetic dat... read more 
Computer Vision and Pattern Recognition

Hero-Mamba: Mamba-based Dual Domain Learning for Underwater Image Enhancement

arXiv Apr 17, 2026
Underwater images often suffer from severe degradation, such as color distortion, low contrast, and blurred details, due to light absorption and scattering in water. While learning-based methods like CNNs and Transformers have shown promise, they fac... read more 
Computer Vision and Pattern Recognition

Do Vision-Language Models Truly Perform Vision Reasoning? A Rigorous Study of the Modality Gap

arXiv Apr 17, 2026
Reasoning in vision-language models (VLMs) has recently attracted significant attention due to its broad applicability across diverse downstream tasks. However, it remains unclear whether the superior performance of VLMs stems from genuine vision-gro... read more 
Computer Vision and Pattern Recognition cs.CL

Where Do Vision-Language Models Fail? World Scale Analysis for Image Geolocalization

arXiv Apr 17, 2026
Image geolocalization has traditionally been addressed through retrieval-based place recognition or geometry-based visual localization pipelines. Recent advances in Vision-Language Models (VLMs) have demonstrated strong zero-shot reasoning capabiliti... read more 
Computer Vision and Pattern Recognition

A Two-Stage, Object-Centric Deep Learning Framework for Robust Exam Cheating Detection

arXiv Apr 17, 2026
Academic integrity continues to face the persistent challenge of examination cheating. Traditional invigilation relies on human observation, which is inefficient, costly, and prone to errors at scale. Although some existing AI-powered monitoring syst... read more 
Computer Vision and Pattern Recognition cs.AI

Dental Panoramic Radiograph Analysis Using YOLO26 From Tooth Detection to Disease Diagnosis

arXiv Apr 17, 2026
Panoramic radiography is a fundamental diagnostic tool in dentistry, offering a comprehensive view of the entire dentition with minimal radiation exposure. However, manual interpretation is time-consuming and prone to errors, especially in high-volum... read more 
Computer Vision and Pattern Recognition

OT on the Map: Quantifying Domain Shifts in Geographic Space

arXiv Apr 17, 2026
In computer vision and machine learning for geographic data, out-of-domain generalization is a pervasive challenge, arising from uneven global data coverage and distribution shifts across geographic regions. Though models are frequently trained in on... read more 
Machine Learning

AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection

arXiv Apr 17, 2026
As forgery types continue to emerge consistently, Incremental Face Forgery Detection (IFFD) has become a crucial paradigm. However, existing methods typically rely on data replay or coarse binary supervision, which fails to explicitly constrain the f... read more 
Computer Vision and Pattern Recognition cs.AI

Saturation-Aware Space-Variant Blind Image Deblurring

arXiv Apr 17, 2026
This paper presents a novel saturation aware space variant blind image deblurring framework designed to address challenges posed by saturated pixels in deblurring under high dynamic range and low light conditions. The proposed approach effectively se... read more 
Computer Vision and Pattern Recognition
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