Artificial Intelligence Medical Compendium

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

Showing 50,841 to 50,850 of 225,062 articles

ImageRAGTurbo: Towards One-step Text-to-Image Generation with Retrieval-Augmented Diffusion Models

arXiv Feb 13, 2026
Diffusion models have emerged as the leading approach for text-to-image generation. However, their iterative sampling process, which gradually morphs random noise into coherent images, introduces significant latency that limits their applicability. W... read more 
Computer Vision and Pattern Recognition

Multi-Task Learning with Additive U-Net for Image Denoising and Classification

arXiv Feb 13, 2026
We investigate additive skip fusion in U-Net architectures for image denoising and denoising-centric multi-task learning (MTL). By replacing concatenative skips with gated additive fusion, the proposed Additive U-Net (AddUNet) constrains shortcut cap... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Uncovering spatial tissue domains and cell types in spatial omics through cross-scale profiling of cellular and genomic interactions

arXiv Feb 13, 2026
Cellular identity and function are linked to both their intrinsic genomic makeup and extrinsic spatial context within the tissue microenvironment. Spatial transcriptomics (ST) offers an unprecedented opportunity to study this, providing in situ gene ... read more 
Machine Learning

CBEN -- A Multimodal Machine Learning Dataset for Cloud Robust Remote Sensing Image Understanding

arXiv Feb 13, 2026
Clouds are a common phenomenon that distorts optical satellite imagery, which poses a challenge for remote sensing. However, in the literature cloudless analysis is often performed where cloudy images are excluded from machine learning datasets and m... read more 
Computer Vision and Pattern Recognition

IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models

arXiv Feb 13, 2026
Vision-Language Models (VLMs) are known to inherit and amplify societal biases from their web-scale training data with Indian being particularly misrepresented. Existing fairness-aware datasets have significantly improved demographic balance across g... read more 
Computer Vision and Pattern Recognition cs.AI

Efficient Streaming Algorithms for Two-Dimensional Congruence Testing and Geometric Hashing

arXiv Feb 13, 2026
The geometric congruence problem is a fundamental building block in many computer vision and image recognition tasks. This problem considers the decision task of whether two point sets are congruent under translation and rotation. A related and more ... read more 
Data Structures and Algorithms

Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening

arXiv Feb 13, 2026
Recent progress in image-to-video (I2V) diffusion models has significantly advanced the field of generative inbetweening, which aims to generate semantically plausible frames between two keyframes. In particular, inference-time sampling strategies, w... read more 
Computer Vision and Pattern Recognition

Channel-Aware Probing for Multi-Channel Imaging

arXiv Feb 13, 2026
Training and evaluating vision encoders on Multi-Channel Imaging (MCI) data remains challenging as channel configurations vary across datasets, preventing fixed-channel training and limiting reuse of pre-trained encoders on new channel settings. Prio... read more 
Computer Vision and Pattern Recognition cs.LG

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs

arXiv Feb 13, 2026
We present MedXIAOHE, a medical vision-language foundation model designed to advance general-purpose medical understanding and reasoning in real-world clinical applications. MedXIAOHE achieves state-of-the-art performance across diverse medical bench... read more 
Computation and Language cs.AI cs.CV eess.IV

Mixture of Predefined Experts: Maximizing Data Usage on Vertical Federated Learning

arXiv Feb 13, 2026
Vertical Federated Learning (VFL) has emerged as a critical paradigm for collaborative model training in privacy-sensitive domains such as finance and healthcare. However, most existing VFL frameworks rely on the idealized assumption of full sample a... read more 
Machine Learning
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