Artificial Intelligence Medical Compendium

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

Showing 37,671 to 37,680 of 223,469 articles

OPRO: Orthogonal Panel-Relative Operators for Panel-Aware In-Context Image Generation

arXiv Mar 29, 2026
We introduce a parameter-efficient adaptation method for panel-aware in-context image generation with pre-trained diffusion transformers. The key idea is to compose learnable, panel-specific orthogonal operators onto the backbone's frozen positional ... read more 
Computer Vision and Pattern Recognition

OpenDPR: Open-Vocabulary Change Detection via Vision-Centric Diffusion-Guided Prototype Retrieval for Remote Sensing Imagery

arXiv Mar 29, 2026
Open-vocabulary change detection (OVCD) seeks to recognize arbitrary changes of interest by enabling generalization beyond a fixed set of predefined classes. We reformulate OVCD as a two-stage pipeline: first generate class-agnostic change proposals ... read more 
Computer Vision and Pattern Recognition

Amped: Adaptive Multi-stage Non-edge Pruning for Edge Detection

arXiv Mar 29, 2026
Edge detection is a fundamental image analysis task that underpins numerous high-level vision applications. Recent advances in Transformer architectures have significantly improved edge quality by capturing long-range dependencies, but this often com... read more 
Computer Vision and Pattern Recognition

Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers

arXiv Mar 29, 2026
Recent advances in diffusion-based controllable visual generation have led to remarkable improvements in image quality. However, these powerful models are typically deployed on cloud servers due to their large computational demands, raising serious c... read more 
Computer Vision and Pattern Recognition

Customized Visual Storytelling with Unified Multimodal LLMs

arXiv Mar 29, 2026
Multimodal story customization aims to generate coherent story flows conditioned on textual descriptions, reference identity images, and shot types. While recent progress in story generation has shown promising results, most approaches rely on text-o... read more 
Computer Vision and Pattern Recognition

RAP: Retrieve, Adapt, and Prompt-Fit for Training-Free Few-Shot Medical Image Segmentation

arXiv Mar 29, 2026
Few-shot medical image segmentation (FSMIS) has achieved notable progress, yet most existing methods mainly rely on semantic correspondences from scarce annotations while under-utilizing a key property of medical imagery: anatomical targets exhibit r... read more 
Computer Vision and Pattern Recognition cs.AI

Look, Compare and Draw: Differential Query Transformer for Automatic Oil Painting

arXiv Mar 29, 2026
This work introduces a new approach to automatic oil painting that emphasizes the creation of dynamic and expressive brushstrokes. A pivotal challenge lies in mitigating the duplicate and common-place strokes, which often lead to less aesthetic outco... read more 
Computer Vision and Pattern Recognition cs.MM

Synergizing Discriminative Exemplars and Self-Refined Experience for MLLM-based In-Context Learning in Medical Diagnosis

arXiv Mar 29, 2026
General Multimodal Large Language Models (MLLMs) often underperform in capturing domain-specific nuances in medical diagnosis, trailing behind fully supervised baselines. Although fine-tuning provides a remedy, the high costs of expert annotation and... read more 
Computer Vision and Pattern Recognition

TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration

arXiv Mar 29, 2026
Vision-language agents that orchestrate specialized tools for image restoration (IR) have emerged as a promising method, yet most existing frameworks operate in a training-free manner. They rely on heuristic task scheduling and exhaustive tool traver... read more 
Computer Vision and Pattern Recognition

AI-Powered Facial Mask Removal Is Not Suitable For Biometric Identification

arXiv Mar 29, 2026
Recently, crowd-sourced online criminal investigations have used generative-AI to enhance low-quality visual evidence. In one high-profile case, social-media users circulated an "AI-unmasked" image of a federal agent involved in a fatal shooting, fue... read more 
Computer Vision and Pattern Recognition cs.AI
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