Artificial Intelligence Medical Compendium

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

Showing 63,661 to 63,670 of 230,801 articles

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

Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer

arXiv Jan 15, 2026
Accurate survival prediction in Non-Small Cell Lung Cancer (NSCLC) requires the integration of heterogeneous clinical, radiological, and histopathological information. While Multimodal Deep Learning (MDL) offers a promises for precision prognosis and... read more 
Computer Vision and Pattern Recognition cs.AI cs.MM

Multi-Temporal Frames Projection for Dynamic Processes Fusion in Fluorescence Microscopy

arXiv Jan 15, 2026
Fluorescence microscopy is widely employed for the analysis of living biological samples; however, the utility of the resulting recordings is frequently constrained by noise, temporal variability, and inconsistent visualisation of signals that oscill... read more 
Computer Vision and Pattern Recognition

Lunar-G2R: Geometry-to-Reflectance Learning for High-Fidelity Lunar BRDF Estimation

arXiv Jan 15, 2026
We address the problem of estimating realistic, spatially varying reflectance for complex planetary surfaces such as the lunar regolith, which is critical for high-fidelity rendering and vision-based navigation. Existing lunar rendering pipelines rel... read more 
Computer Vision and Pattern Recognition
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