Artificial Intelligence Medical Compendium

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

Showing 39,051 to 39,060 of 223,469 articles

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

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

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

MLLM-HWSI: A Multimodal Large Language Model for Hierarchical Whole Slide Image Understanding

arXiv Mar 24, 2026
Whole Slide Images (WSIs) exhibit hierarchical structure, where diagnostic information emerges from cellular morphology, regional tissue organization, and global context. Existing Computational Pathology (CPath) Multimodal Large Language Models (MLLM... read more 
Computer Vision and Pattern Recognition

HUydra: Full-Range Lung CT Synthesis via Multiple HU Interval Generative Modelling

arXiv Mar 24, 2026
Currently, a central challenge and bottleneck in the deployment and validation of computer-aided diagnosis (CAD) models within the field of medical imaging is data scarcity. For lung cancer, one of the most prevalent types worldwide, limited datasets... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

YOLOv10 with Kolmogorov-Arnold networks and vision-language foundation models for interpretable object detection and trustworthy multimodal AI in computer vision perception

arXiv Mar 24, 2026
The interpretable object detection capabilities of a novel Kolmogorov-Arnold network framework are examined here. The approach refers to a key limitation in computer vision for autonomous vehicles perception, and beyond. These systems offer limited t... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.LG cs.RO

Traffic Sign Recognition in Autonomous Driving: Dataset, Benchmark, and Field Experiment

arXiv Mar 24, 2026
Traffic Sign Recognition (TSR) is a core perception capability for autonomous driving, where robustness to cross-region variation, long-tailed categories, and semantic ambiguity is essential for reliable real-world deployment. Despite steady progress... read more 
Computer Vision and Pattern Recognition

Generative Event Pretraining with Foundation Model Alignment

arXiv Mar 24, 2026
Event cameras provide robust visual signals under fast motion and challenging illumination conditions thanks to their microsecond latency and high dynamic range. However, their unique sensing characteristics and limited labeled data make it challengi... read more 
Computer Vision and Pattern Recognition cs.RO

Looking Beyond the Window: Global-Local Aligned CLIP for Training-free Open-Vocabulary Semantic Segmentation

arXiv Mar 24, 2026
A sliding-window inference strategy is commonly adopted in recent training-free open-vocabulary semantic segmentation methods to overcome limitation of the CLIP in processing high-resolution images. However, this approach introduces a new challenge: ... read more 
Computer Vision and Pattern Recognition cs.AI

Cog3DMap: Multi-View Vision-Language Reasoning with 3D Cognitive Maps

arXiv Mar 24, 2026
Precise spatial understanding from multi-view images remains a fundamental challenge for Multimodal Large Language Models (MLLMs), as their visual representations are predominantly semantic and lack explicit geometric grounding. While existing approa... read more 
Computer Vision and Pattern Recognition
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