Artificial Intelligence Medical Compendium

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

Showing 43,851 to 43,860 of 224,055 articles

CONSTANT: Towards High-Quality One-Shot Handwriting Generation with Patch Contrastive Enhancement and Style-Aware Quantization

arXiv Mar 8, 2026
One-shot styled handwriting image generation, despite achieving impressive results in recent years, remains challenging due to the difficulty in capturing the intricate and diverse characteristics of human handwriting by using solely a single referen... read more 
Computer Vision and Pattern Recognition cs.MM

ECG Classification on PTB-XL: A Data-Centric Approach with Simplified CNN-VAE

arXiv Mar 8, 2026
Automated electrocardiogram (ECG) classification is essential for early detection of cardiovascular diseases. While recent approaches have increasingly relied on deep neural networks with complex architectures, we demonstrate that careful data prepro... read more 
Machine Learning

Active Inference for Micro-Gesture Recognition: EFE-Guided Temporal Sampling and Adaptive Learning

arXiv Mar 8, 2026
Micro-gestures are subtle and transient movements triggered by unconscious neural and emotional activities, holding great potential for human-computer interaction and clinical monitoring. However, their low amplitude, short duration, and strong inter... read more 
Computer Vision and Pattern Recognition

PureCC: Pure Learning for Text-to-Image Concept Customization

arXiv Mar 8, 2026
Existing concept customization methods have achieved remarkable outcomes in high-fidelity and multi-concept customization. However, they often neglect the influence on the original model's behavior and capabilities when learning new personalized conc... read more 
Computer Vision and Pattern Recognition

Brain-WM: Brain Glioblastoma World Model

arXiv Mar 8, 2026
Precise prognostic modeling of glioblastoma (GBM) under varying treatment interventions is essential for optimizing clinical outcomes. While generative AI has shown promise in simulating GBM evolution, existing methods typically treat interventions a... read more 
Computer Vision and Pattern Recognition

GRD-Net: Generative-Reconstructive-Discriminative Anomaly Detection with Region of Interest Attention Module

arXiv Mar 8, 2026
Anomaly detection is nowadays increasingly used in industrial applications and processes. One of the main fields of the appliance is the visual inspection for surface anomaly detection, which aims to spot regions that deviate from regularity and cons... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification

arXiv Mar 8, 2026
Out-of-distribution (OOD) detection is critical in safety-sensitive applications. While this challenge has been addressed from various perspectives, the influence of training objectives on OOD behavior remains comparatively underexplored. In this pap... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

TS-MLLM: A Multi-Modal Large Language Model-based Framework for Industrial Time-Series Big Data Analysis

arXiv Mar 8, 2026
Accurate analysis of industrial time-series big data is critical for the Prognostics and Health Management (PHM) of industrial equipment. While recent advancements in Large Language Models (LLMs) have shown promise in time-series analysis, existing m... read more 
Machine Learning

Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments

arXiv Mar 8, 2026
Event cameras offer high temporal resolution and low latency, making them ideal sensors for high-speed robotic applications where conventional cameras suffer from image degradations such as motion blur. In addition, their low power consumption can en... read more 
Robotics

Looking Into the Water by Unsupervised Learning of the Surface Shape

arXiv Mar 8, 2026
We address the problem of looking into the water from the air, where we seek to remove image distortions caused by refractions at the water surface. Our approach is based on modeling the different water surface structures at various points in time, a... read more 
Computer Vision and Pattern Recognition
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