Artificial Intelligence Medical Compendium

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

Showing 39,351 to 39,360 of 223,737 articles

PolarAPP: Beyond Polarization Demosaicking for Polarimetric Applications

arXiv Mar 24, 2026
Polarimetric imaging enables advanced vision applications such as normal estimation and de-reflection by capturing unique surface-material interactions. However, existing applications (alternatively called downstream tasks) rely on datasets construct... read more 
Computer Vision and Pattern Recognition

Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards

arXiv Mar 24, 2026
Autoregressive (AR) models are highly effective for image generation, yet their standard maximum-likelihood estimation training lacks direct optimization for sample quality and diversity. While reinforcement learning (RL) has been used to align diffu... read more 
Machine Learning cs.CV

NeuroSeg Meets DINOv3: Transferring 2D Self-Supervised Visual Priors to 3D Neuron Segmentation via DINOv3 Initialization

arXiv Mar 24, 2026
2D visual foundation models, such as DINOv3, a self-supervised model trained on large-scale natural images, have demonstrated strong zero-shot generalization, capturing both rich global context and fine-grained structural cues. However, an analogous ... read more 
Computer Vision and Pattern Recognition

AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection

arXiv Mar 24, 2026
The increasing realism of AI-Generated Images (AIGI) has created an urgent need for forensic tools capable of reliably distinguishing synthetic content from authentic imagery. Existing detectors are typically tailored to specific forgery artifacts--s... read more 
Computer Vision and Pattern Recognition

Automatic Segmentation of 3D CT scans with SAM2 using a zero-shot approach

arXiv Mar 24, 2026
Foundation models for image segmentation have shown strong generalization in natural images, yet their applicability to 3D medical imaging remains limited. In this work, we study the zero-shot use of Segment Anything Model 2 (SAM2) for automatic segm... read more 
Computer Vision and Pattern Recognition

SMSP: A Plug-and-Play Strategy of Multi-Scale Perception for MLLMs to Perceive Visual Illusions

arXiv Mar 24, 2026
Recent works have shown that Multimodal Large Language Models (MLLMs) are highly vulnerable to hidden-pattern visual illusions, where the hidden content is imperceptible to models but obvious to humans. This deficiency highlights a perceptual misalig... read more 
Computer Vision and Pattern Recognition cs.MM

DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models

arXiv Mar 24, 2026
The expansion of generative AI and LLM services underscores the growing need for adaptive mechanisms to select an appropriate available model to respond to a user's prompts. Recent works have proposed offline and online learning formulations to ident... read more 
Machine Learning

DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models

arXiv Mar 24, 2026
The expansion of generative AI and LLM services underscores the growing need for adaptive mechanisms to select an appropriate available model to respond to a user's prompts. Recent works have proposed offline and online learning formulations to ident... read more 
Machine Learning

VoDaSuRe: A Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolution

arXiv Mar 24, 2026
Recent advances in volumetric super-resolution (SR) have demonstrated strong performance in medical and scientific imaging, with transformer- and CNN-based approaches achieving impressive results even at extreme scaling factors. In this work, we show... read more 
Computer Vision and Pattern Recognition

Dual Contrastive Network for Few-Shot Remote Sensing Image Scene Classification

arXiv Mar 24, 2026
Few-shot remote sensing image scene classification (FS-RSISC) aims at classifying remote sensing images with only a few labeled samples. The main challenges lie in small inter-class variances and large intra-class variances, which are the inherent pr... read more 
Computer Vision and Pattern Recognition
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