Artificial Intelligence Medical Compendium

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

Showing 10,701 to 10,710 of 209,601 articles

Learning Reference-Guided Exposure Correction with Hybrid Illumination Characteristics

arXiv May 26, 2026
We present HICNet, a reference-guided exposure correction framework. A lightweight, content-agnostic encoder distills each image into a compact illumination embedding capturing regional brightness, edge contrast, and higher-order luminance moments. T... read more 
Computer Vision and Pattern Recognition

CIRCLED: A Multi-turn CIR Dataset with Consistent Dialogues across Domains

arXiv May 26, 2026
Existing Multi-Turn Composed Image Retrieval (MTCIR) datasets lack dialogue-history consistency and are restricted to the fashion domain. To address these limitations, we construct CIRCLED by extending FashionIQ, CIRR, and CIRCO. In CIRCLED, the quer... read more 
Computer Vision and Pattern Recognition

Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences

arXiv May 26, 2026
Diffusion models can unintentionally memorize training samples, raising concerns about privacy and copyright. While recent methods can detect memorization, they often rely on global or model-specific signals and provide limited insight into where mem... read more 
Machine Learning

Cesarean Scar Defect Segmentation in Transvaginal Ultrasound Images: a Dataset and Benchmark

arXiv May 26, 2026
Cesarean Scar Defect (CSD) is one of the most prevalent complications following cesarean delivery. Transvaginal ultrasonography is widely used for primary CSD screening. Accurate determination of CSD outline and dimensions is crucial for treatment. H... read more 
Computer Vision and Pattern Recognition

Implementation of Big Data Analytics for Diabetes Management: Needs Assessment in the Rwanda Healthcare System

arXiv May 26, 2026
Diabetes is a chronic metabolic disease that can lead to serious health problems if not diagnosed and managed early. Big Data Analytics (BDA) and machine learning offer practical tools for analyzing large health datasets and supporting early detectio... read more 
Computers and Society cs.AI cs.LG

Periodic Topological Deep Learning for Polymer Design and Discovery

arXiv May 26, 2026
Polymers underpin applications across energy, healthcare, and materials science, yet their vast chemical space makes systematic discovery challenging. Most machine learning approaches represent polymers as molecular graphs of a single repeating unit,... read more 
Machine Learning cs.AI

Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences

arXiv May 26, 2026
Learning an energy-based model from data samples is a central problem in machine learning. Many recent and popular methods, such as denoising score matching for training energy-based diffusion models, use stochastic interpolants to corrupt data sampl... read more 
Machine Learning

Receipt Replay OOD: A Small Benchmark for Screen Replay Detection Under Domain Shift

arXiv May 26, 2026
Public datasets such as DLC-2021, SynID, and KID34K have significantly contributed to research on presentation attack detection for identity documents, including screen replay attacks. However, evaluation of out-of-domain (OOD) robustness remains ins... read more 
Computer Vision and Pattern Recognition

REVERSE: Reinforcing Evidence Verification and Search for Agentic Image geo-localization

arXiv May 26, 2026
Image geo-localization aims to determine where a photograph was taken, a task that often requires more than recognizing visible landmarks. Human experts typically solve it through an iterative workflow: they inspect informative regions, form location... read more 
Computer Vision and Pattern Recognition

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction

arXiv May 26, 2026
Accurate road segmentation from aerial imagery is fundamental to many geospatial applications. However, existing datasets often suffer from limited scene diversity, low semantic granularity, and poor structural continuity, restricting their generaliz... read more 
Computer Vision and Pattern Recognition
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