Artificial Intelligence Medical Compendium

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

Showing 47,721 to 47,730 of 224,199 articles

When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators

arXiv Feb 23, 2026
Recent text-to-image (T2I) diffusion models produce visually stunning images and demonstrate excellent prompt following. But do they perform well as synthetic vision data generators? In this work, we revisit the promise of synthetic data as a scalabl... read more 
Computer Vision and Pattern Recognition cs.AI

When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators

arXiv Feb 23, 2026
Recent text-to-image (T2I) diffusion models produce visually stunning images and demonstrate excellent prompt following. But do they perform well as synthetic vision data generators? In this work, we revisit the promise of synthetic data as a scalabl... read more 
Computer Vision and Pattern Recognition cs.AI

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection

arXiv Feb 23, 2026
Recent advancements in image generation have achieved impressive results in producing high-quality images. However, existing image generation models still generally struggle with a spatial reasoning dilemma, lacking the ability to accurately capture ... read more 
Computer Vision and Pattern Recognition

A Computationally Efficient Multidimensional Vision Transformer

arXiv Feb 23, 2026
Vision Transformers have achieved state-of-the-art performance in a wide range of computer vision tasks, but their practical deployment is limited by high computational and memory costs. In this paper, we introduce a novel tensor-based framewor... read more 
Machine Learning math.NA

Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction

arXiv Feb 23, 2026
This paper tackles the problem of time-to-event counterfactual survival prediction, aiming to optimize individualized survival outcomes in the presence of heterogeneity and censored data. We propose CURE, a framework that advances counterfactual surv... read more 
Machine Learning cs.IR

Token-UNet: A New Case for Transformers Integration in Efficient and Interpretable 3D UNets for Brain Imaging Segmentation

arXiv Feb 23, 2026
We present Token-UNet, adopting the TokenLearner and TokenFuser modules to encase Transformers into UNets. While Transformers have enabled global interactions among input elements in medical imaging, current computational challenges hinder their de... read more 
Computer Vision and Pattern Recognition

Closing the gap in multimodal medical representation alignment

arXiv Feb 23, 2026
In multimodal learning, CLIP has emerged as the de-facto approach for mapping different modalities into a shared latent space by bringing semantically similar representations closer while pushing apart dissimilar ones. However, CLIP-based contrastive... read more 
Computer Vision and Pattern Recognition cs.LG

Decoupling Defense Strategies for Robust Image Watermarking

arXiv Feb 23, 2026
Deep learning-based image watermarking, while robust against conventional distortions, remains vulnerable to advanced adversarial and regeneration attacks. Conventional countermeasures, which jointly optimize the encoder and decoder via a noise layer... read more 
Computer Vision and Pattern Recognition

HeatPrompt: Zero-Shot Vision-Language Modeling of Urban Heat Demand from Satellite Images

arXiv Feb 23, 2026
Accurate heat-demand maps play a crucial role in decarbonizing space heating, yet most municipalities lack detailed building-level data needed to calculate them. We introduce HeatPrompt, a zero-shot vision-language energy modeling framework that esti... read more 
Computer Vision and Pattern Recognition cs.AI

The Invisible Gorilla Effect in Out-of-distribution Detection

arXiv Feb 23, 2026
Deep Neural Networks achieve high performance in vision tasks by learning features from regions of interest (ROI) within images, but their performance degrades when deployed on out-of-distribution (OOD) data that differs from training data. This chal... read more 
Computer Vision and Pattern Recognition cs.LG
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