Artificial Intelligence Medical Compendium

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

Showing 61,111 to 61,120 of 228,300 articles

Robust and Generalizable Atrial Fibrillation Detection from ECG Using Time-Frequency Fusion and Supervised Contrastive Learning

arXiv Jan 15, 2026
Atrial fibrillation (AF) is a common cardiac arrhythmia that significantly increases the risk of stroke and heart failure, necessitating reliable and generalizable detection methods from electrocardiogram (ECG) recordings. Although deep learning has ... read more 
Quantitative Methods

Cell Behavior Video Classification Challenge, a benchmark for computer vision methods in time-lapse microscopy

arXiv Jan 15, 2026
The classification of microscopy videos capturing complex cellular behaviors is crucial for understanding and quantifying the dynamics of biological processes over time. However, it remains a frontier in computer vision, requiring approaches that eff... read more 
Image and Video Processing cs.CV q-bio.QM

DanQing: An Up-to-Date Large-Scale Chinese Vision-Language Pre-training Dataset

arXiv Jan 15, 2026
Vision-Language Pre-training (VLP) models demonstrate strong performance across various downstream tasks by learning from large-scale image-text pairs through contrastive pretraining. The release of extensive English image-text datasets (e.g., COYO-7... read more 
Computer Vision and Pattern Recognition cs.AI

Hierarchical Refinement of Universal Multimodal Attacks on Vision-Language Models

arXiv Jan 15, 2026
Existing adversarial attacks for VLP models are mostly sample-specific, resulting in substantial computational overhead when scaled to large datasets or new scenarios. To overcome this limitation, we propose Hierarchical Refinement Attack (HRA), a mu... read more 
Computer Vision and Pattern Recognition cs.MM

Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders

arXiv Jan 15, 2026
Recent progress in text-to-image (T2I) diffusion models (DMs) has enabled high-quality visual synthesis from diverse textual prompts. Yet, most existing T2I DMs, even those equipped with large language model (LLM)-based text encoders, remain text-pix... read more 
Computer Vision and Pattern Recognition

An analytic theory of convolutional neural network inverse problems solvers

arXiv Jan 15, 2026
Supervised convolutional neural networks (CNNs) are widely used to solve imaging inverse problems, achieving state-of-the-art performance in numerous applications. However, despite their empirical success, these methods are poorly understood from a t... read more 
Computer Vision and Pattern Recognition cs.LG

EvoMorph: Counterfactual Explanations for Continuous Time-Series Extrinsic Regression Applied to Photoplethysmography

arXiv Jan 15, 2026
Wearable devices enable continuous, population-scale monitoring of physiological signals, such as photoplethysmography (PPG), creating new opportunities for data-driven clinical assessment. Time-series extrinsic regression (TSER) models increasingly ... read more 
Machine Learning

PLGC: Pseudo-Labeled Graph Condensation

arXiv Jan 15, 2026
Large graph datasets make training graph neural networks (GNNs) computationally costly. Graph condensation methods address this by generating small synthetic graphs that approximate the original data. However, existing approaches rely on clean, super... read more 
Machine Learning

Towards Efficient Low-rate Image Compression with Frequency-aware Diffusion Prior Refinement

arXiv Jan 15, 2026
Recent advancements in diffusion-based generative priors have enabled visually plausible image compression at extremely low bit rates. However, existing approaches suffer from slow sampling processes and suboptimal bit allocation due to fragmented tr... read more 
Computer Vision and Pattern Recognition cs.AI cs.MM

Global Context Compression with Interleaved Vision-Text Transformation

arXiv Jan 15, 2026
Recent achievements of vision-language models in end-to-end OCR point to a new avenue for low-loss compression of textual information. This motivates earlier works that render the Transformer's input into images for prefilling, which effectively redu... read more 
Computer Vision and Pattern Recognition cs.AI
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