Artificial Intelligence Medical Compendium

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

Showing 44,671 to 44,680 of 224,055 articles

Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation

arXiv Mar 5, 2026
Primary health care frequently relies on low-cost imaging devices, which are commonly used for screening purposes. To ensure accurate diagnosis, these systems depend on advanced reconstruction algorithms designed to approximate the performance of hig... read more 
Computer Vision and Pattern Recognition

CoIn3D: Revisiting Configuration-Invariant Multi-Camera 3D Object Detection

arXiv Mar 5, 2026
Multi-camera 3D object detection (MC3D) has attracted increasing attention with the growing deployment of multi-sensor physical agents, such as robots and autonomous vehicles. However, MC3D models still struggle to generalize to unseen platforms with... read more 
Computer Vision and Pattern Recognition cs.RO

A 360-degree Multi-camera System for Blue Emergency Light Detection Using Color Attention RT-DETR and the ABLDataset

arXiv Mar 5, 2026
This study presents an advanced system for detecting blue lights on emergency vehicles, developed using ABLDataset, a curated dataset that includes images of European emergency vehicles under various climatic and geographic conditions. The system emp... read more 
Computer Vision and Pattern Recognition cs.AI eess.IV

Synchronization-based clustering on the unit hypersphere

arXiv Mar 5, 2026
Clustering on the unit hypersphere is a fundamental problem in various fields, with applications ranging from gene expression analysis to text and image classification. Traditional clustering methods are not always suitable for unit sphere data, as t... read more 
Machine Learning

MI-DETR: A Strong Baseline for Moving Infrared Small Target Detection with Bio-Inspired Motion Integration

arXiv Mar 5, 2026
Infrared small target detection (ISTD) is challenging because tiny, low-contrast targets are easily obscured by complex and dynamic backgrounds. Conventional multi-frame approaches typically learn motion implicitly through deep neural networks, often... read more 
Computer Vision and Pattern Recognition

UniM: A Unified Any-to-Any Interleaved Multimodal Benchmark

arXiv Mar 5, 2026
In real-world multimodal applications, systems usually need to comprehend arbitrarily combined and interleaved multimodal inputs from users, while also generating outputs in any interleaved multimedia form. This capability defines the goal of any-to-... read more 
Computer Vision and Pattern Recognition

Diff-ES: Stage-wise Structural Diffusion Pruning via Evolutionary Search

arXiv Mar 5, 2026
Diffusion models have achieved remarkable success in high-fidelity image generation but remain computationally demanding due to their multi-step denoising process and large model sizes. Although prior work improves efficiency either by reducing sampl... read more 
Computer Vision and Pattern Recognition

UniPAR: A Unified Framework for Pedestrian Attribute Recognition

arXiv Mar 5, 2026
Pedestrian Attribute Recognition is a foundational computer vision task that provides essential support for downstream applications, including person retrieval in video surveillance and intelligent retail analytics. However, existing research is freq... read more 
Computer Vision and Pattern Recognition cs.AI

SRasP: Self-Reorientation Adversarial Style Perturbation for Cross-Domain Few-Shot Learning

arXiv Mar 5, 2026
Cross-Domain Few-Shot Learning (CD-FSL) aims to transfer knowledge from a seen source domain to unseen target domains, serving as a key benchmark for evaluating the robustness and transferability of models. Existing style-based perturbation methods m... read more 
Computer Vision and Pattern Recognition cs.LG

The Impact of Preprocessing Methods on Racial Encoding and Model Robustness in CXR Diagnosis

arXiv Mar 5, 2026
Deep learning models can identify racial identity with high accuracy from chest X-ray (CXR) recordings. Thus, there is widespread concern about the potential for racial shortcut learning, where a model inadvertently learns to systematically bias its ... read more 
Computer Vision and Pattern Recognition cs.LG eess.IV
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