Artificial Intelligence Medical Compendium

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

Showing 40,561 to 40,570 of 223,737 articles

3D MRI-Based Alzheimer's Disease Classification Using Multi-Modal 3D CNN with Leakage-Aware Subject-Level Evaluation

arXiv Mar 18, 2026
Deep learning has become an important tool for Alzheimer's disease (AD) classification from structural MRI. Many existing studies analyze individual 2D slices extracted from MRI volumes, while clinical neuroimaging practice typically relies on the fu... read more 
Computer Vision and Pattern Recognition

A Proposal-Free Query-Guided Network for Grounded Multimodal Named Entity Recognition

arXiv Mar 18, 2026
Grounded Multimodal Named Entity Recognition (GMNER) identifies named entities, including their spans and types, in natural language text and grounds them to the corresponding regions in associated images. Most existing approaches split this task i... read more 
Computer Vision and Pattern Recognition

A Proposal-Free Query-Guided Network for Grounded Multimodal Named Entity Recognition

arXiv Mar 18, 2026
Grounded Multimodal Named Entity Recognition (GMNER) identifies named entities, including their spans and types, in natural language text and grounds them to the corresponding regions in associated images. Most existing approaches split this task i... read more 
Computer Vision and Pattern Recognition

MedSAD-CLIP: Supervised CLIP with Token-Patch Cross-Attention for Medical Anomaly Detection and Segmentation

arXiv Mar 18, 2026
Medical anomaly detection (MAD) and segmentation play a critical role in assisting clinical diagnosis by identifying abnormal regions in medical images and localizing pathological regions. Recent CLIP-based studies are promising for anomaly detection... read more 
Computer Vision and Pattern Recognition

FineViT: Progressively Unlocking Fine-Grained Perception with Dense Recaptions

arXiv Mar 18, 2026
While Multimodal Large Language Models (MLLMs) have experienced rapid advancements, their visual encoders frequently remain a performance bottleneck. Conventional CLIP-based encoders struggle with dense spatial tasks due to the loss of visual details... read more 
Computer Vision and Pattern Recognition

EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection

arXiv Mar 18, 2026
The rapid proliferation of AI-Generated Images (AIGIs) has introduced severe risks of misinformation, making AIGI detection a critical yet challenging task. While traditional detection paradigms mainly rely on low-level features, recent research incr... read more 
Computer Vision and Pattern Recognition

A 3D Reconstruction Benchmark for Asset Inspection

arXiv Mar 18, 2026
Asset management requires accurate 3D models to inform the maintenance, repair, and assessment of buildings, maritime vessels, and other key structures as they age. These downstream applications rely on high-fidelity models produced from aerial surve... read more 
Computer Vision and Pattern Recognition eess.IV

MCoT-MVS: Multi-level Vision Selection by Multi-modal Chain-of-Thought Reasoning for Composed Image Retrieval

arXiv Mar 18, 2026
Composed Image Retrieval (CIR) aims to retrieve target images based on a reference image and modified texts. However, existing methods often struggle to extract the correct semantic cues from the reference image that best reflect the user's intent un... read more 
Computer Vision and Pattern Recognition

Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift

arXiv Mar 18, 2026
Large vision-language models (VLMs) often exhibit weakened safety alignment with the integration of the visual modality. Even when text prompts contain explicit harmful intent, adding an image can substantially increase jailbreak success rates. In th... read more 
Computer Vision and Pattern Recognition cs.AI

VisionNVS: Self-Supervised Inpainting for Novel View Synthesis under the Virtual-Shift Paradigm

arXiv Mar 18, 2026
A fundamental bottleneck in Novel View Synthesis (NVS) for autonomous driving is the inherent supervision gap on novel trajectories: models are tasked with synthesizing unseen views during inference, yet lack ground truth images for these shifted pos... read more 
Computer Vision and Pattern Recognition
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