Artificial Intelligence Medical Compendium

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

Showing 9,981 to 9,990 of 208,614 articles

Image Feature Fusion-based Federated Client Unlearning (FCU)

arXiv May 26, 2026
Major data protection regulations all mention the "right to be forgotten," and that's what pushed federated unlearning (FU) techniques forward. But one stubborn issue remains: catastrophic forgetting--you erase the target knowledge, yet somehow you a... read more 
Machine Learning

Joint 2D-3D Segmentation and Association in Street-level Imaging

arXiv May 26, 2026
Accurate interpretation of street-level imagery is essential for large-scale urban mapping and the creation of Spatial Digital Twin (SDT) environments. This work presents a unified framework for joint 2D-3D segmentation and association that integrate... read more 
Computer Vision and Pattern Recognition

Measuring Prediction Uncertainty in Neural Cellular Automata

arXiv May 26, 2026
Neural cellular automata (NCA) provide a lightweight alternative to encoder-decoder segmentation networks. However, it can be difficult to decide when a prediction should be trusted. Here, we study uncertainty estimation for NCA-based medical image s... read more 
Image and Video Processing cs.AI cs.CV

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
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