Artificial Intelligence Medical Compendium

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

Showing 49,351 to 49,360 of 224,513 articles

A Universal Neural Receiver that Learns at the Speed of Wireless

arXiv Feb 17, 2026
Today we design wireless networks using mathematical models that govern communication in different propagation environments. We rely on measurement campaigns to deliver parametrized propagation models, and on the 3GPP standards process to optimize mo... read more 
Information Theory eess.SP

On the Out-of-Distribution Generalization of Reasoning in Multimodal LLMs for Simple Visual Planning Tasks

arXiv Feb 17, 2026
Integrating reasoning in large language models and large vision-language models has recently led to significant improvement of their capabilities. However, the generalization of reasoning models is still vaguely defined and poorly understood. In this... read more 
Machine Learning cs.CV

Emergent Morphing Attack Detection in Open Multi-modal Large Language Models

arXiv Feb 17, 2026
Face morphing attacks threaten biometric verification, yet most morphing attack detection (MAD) systems require task-specific training and generalize poorly to unseen attack types. Meanwhile, open-source multimodal large language models (MLLMs) have ... read more 
Computer Vision and Pattern Recognition

RPT-SR: Regional Prior attention Transformer for infrared image Super-Resolution

arXiv Feb 17, 2026
General-purpose super-resolution models, particularly Vision Transformers, have achieved remarkable success but exhibit fundamental inefficiencies in common infrared imaging scenarios like surveillance and autonomous driving, which operate from fixed... read more 
Computer Vision and Pattern Recognition cs.AI

LEADER: Lightweight End-to-End Attention-Gated Dual Autoencoder for Robust Minutiae Extraction

arXiv Feb 17, 2026
Minutiae extraction, a fundamental stage in fingerprint recognition, is increasingly shifting toward deep learning. However, truly end-to-end methods that eliminate separate preprocessing and postprocessing steps remain scarce. This paper introduces ... read more 
Computer Vision and Pattern Recognition

CEPAE: Conditional Entropy-Penalized Autoencoders for Time Series Counterfactuals

arXiv Feb 17, 2026
The ability to accurately perform counterfactual inference on time series is crucial for decision-making in fields like finance, healthcare, and marketing, as it allows us to understand the impact of events or treatments on outcomes over time. In thi... read more 
Machine Learning

Latent Regularization in Generative Test Input Generation

arXiv Feb 17, 2026
This study investigates the impact of regularization of latent spaces through truncation on the quality of generated test inputs for deep learning classifiers. We evaluate this effect using style-based GANs, a state-of-the-art generative approach, an... read more 
Software Engineering cs.LG

Intracoronary Optical Coherence Tomography Image Processing and Vessel Classification Using Machine Learning

arXiv Feb 17, 2026
Intracoronary Optical Coherence Tomography (OCT) enables high-resolution visualization of coronary vessel anatomy but presents challenges due to noise, imaging artifacts, and complex tissue structures. This paper proposes a fully automated pipeline f... read more 
Computer Vision and Pattern Recognition cs.AI

An Industrial Dataset for Scene Acquisitions and Functional Schematics Alignment

arXiv Feb 17, 2026
Aligning functional schematics with 2D and 3D scene acquisitions is crucial for building digital twins, especially for old industrial facilities that lack native digital models. Current manual alignment using images and LiDAR data does not scale due ... read more 
Computer Vision and Pattern Recognition

The Stationarity Bias: Stratified Stress-Testing for Time-Series Imputation in Regulated Dynamical Systems

arXiv Feb 17, 2026
Time-series imputation benchmarks employ uniform random masking and shape-agnostic metrics (MSE, RMSE), implicitly weighting evaluation by regime prevalence. In systems with a dominant attractor -- homeostatic physiology, nominal industrial operation... read more 
Machine Learning
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