Artificial Intelligence Medical Compendium

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

Showing 29,611 to 29,620 of 219,931 articles

Spectral Forensics of Diffusion Attention Graphs for Copy-Move Forgery Detection

arXiv Apr 19, 2026
Copy-move forgery, where a region within an image is duplicated to hide or fabricate content, remains a persistent threat to visual media integrity. We introduce GraphSpecForge, a training-free framework that detects copy-move forgery by analysing th... read more 
Computer Vision and Pattern Recognition

Frequency-guided Multi-level Reasoning for Scene Graph Generation in Video

arXiv Apr 19, 2026
Video Scene Graph Generation aims to obtain structured semantic representations of objects and their relationships in videos for high-level understanding. However, existing methods still have limitations in handling long-tail distributions. This pape... read more 
Computer Vision and Pattern Recognition

Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification

arXiv Apr 19, 2026
The scarcity of labeled clinical data in oncology makes Few-Shot Learning (FSL) a critical framework for Computer Aided Diagnostics, but we observed that standard Prototypical Networks often struggle with the "prototype instability" caused by morphol... read more 
Image and Video Processing cs.AI cs.CV

The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview

arXiv Apr 19, 2026
This paper provides a review of the NTIRE 2026 challenge on mobile real-world image super-resolution, highlighting the proposed solutions and the resulting outcomes. The challenge aims to recover high-resolution (HR) images from low-resolution (LR) c... read more 
Computer Vision and Pattern Recognition

Generalizable Face Forgery Detection via Separable Prompt Learning

arXiv Apr 19, 2026
Detecting face forgeries using CLIP has recently emerged as a promising and increasingly popular research direction. Owing to its rich visual knowledge acquired through large-scale pretraining, most existing methods typically rely on the visual encod... read more 
Computer Vision and Pattern Recognition

When Background Matters: Breaking Medical Vision Language Models by Transferable Attack

arXiv Apr 19, 2026
Vision-Language Models (VLMs) are increasingly used in clinical diagnostics, yet their robustness to adversarial attacks remains largely unexplored, posing serious risks. Existing medical attacks focus on secondary objectives such as model stealing o... read more 
Computer Vision and Pattern Recognition

E2E-GMNER: End-to-End Generative Grounded Multimodal Named Entity Recognition

arXiv Apr 19, 2026
Grounded Multimodal Named Entity Recognition (GMNER) aims to jointly identify named entity mentions in text, predict their semantic types, and ground each entity to a corresponding visual region in an associated image. Existing approaches predominant... read more 
Computer Vision and Pattern Recognition cs.CL

R-FLoRA: Residual-Statistic-Gated Low-Rank Adaptation for Single-Image Face Morphing Attack Detection

arXiv Apr 19, 2026
Face morphing attacks pose a substantial risk to the reliability of face recognition systems used in passport issuance, border control, and digital identity verification. Detecting morphing attacks from a single facial image remains challenging owing... read more 
Computer Vision and Pattern Recognition

SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention

arXiv Apr 19, 2026
Graph transformers achieve strong results on molecular and long-range reasoning tasks, yet remain hampered by over-smoothing (the progressive collapse of node representations with depth) and attention entropy degeneration. We observe that these patho... read more 
Machine Learning cs.AI

Robust Diabetic Retinopathy Grading Using Dual-Resolution Attention-Based Deep Learning with Ordinal Regression

arXiv Apr 19, 2026
Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide, and automated grading systems play a crucial role in large-scale screening programs. However, deep learning models often exhibit degraded performance when deployed across da... read more 
Computer Vision and Pattern Recognition cs.AI
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