Artificial Intelligence Medical Compendium

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

Showing 55,221 to 55,230 of 226,647 articles

HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistency

arXiv Feb 3, 2026
Generative Adversarial Networks (GANs) have made significant progress in enhancing the quality of image synthesis. Recent methods frequently leverage pretrained networks to calculate perceptual losses or utilize pretrained feature spaces. In this pap... read more 
Computer Vision and Pattern Recognition

A generalizable large-scale foundation model for musculoskeletal radiographs

arXiv Feb 3, 2026
Artificial intelligence (AI) has shown promise in detecting and characterizing musculoskeletal diseases from radiographs. However, most existing models remain task-specific, annotation-dependent, and limited in generalizability across diseases and an... read more 
Computer Vision and Pattern Recognition

TextME: Bridging Unseen Modalities Through Text Descriptions

arXiv Feb 3, 2026
Expanding multimodal representations to novel modalities is constrained by reliance on large-scale paired datasets (e.g., text-image, text-audio, text-3D, text-molecule), which are costly and often infeasible in domains requiring expert annotation su... read more 
Machine Learning cs.AI

Gromov Wasserstein Optimal Transport for Semantic Correspondences

arXiv Feb 3, 2026
Establishing correspondences between image pairs is a long studied problem in computer vision. With recent large-scale foundation models showing strong zero-shot performance on downstream tasks including classification and segmentation, there has bee... read more 
Computer Vision and Pattern Recognition

Beyond Cropping and Rotation: Automated Evolution of Powerful Task-Specific Augmentations with Generative Models

arXiv Feb 3, 2026
Data augmentation has long been a cornerstone for reducing overfitting in vision models, with methods like AutoAugment automating the design of task-specific augmentations. Recent advances in generative models, such as conditional diffusion and few-s... read more 
Computer Vision and Pattern Recognition cs.AI

Flexible Geometric Guidance for Probabilistic Human Pose Estimation with Diffusion Models

arXiv Feb 3, 2026
3D human pose estimation from 2D images is a challenging problem due to depth ambiguity and occlusion. Because of these challenges the task is underdetermined, where there exists multiple -- possibly infinite -- poses that are plausible given the ima... read more 
Computer Vision and Pattern Recognition

Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis

arXiv Feb 3, 2026
Distribution matching distillation (DMD) aligns a multi-step generator with its few-step counterpart to enable high-quality generation under low inference cost. However, DMD tends to suffer from mode collapse, as its reverse-KL formulation inherently... read more 
Computer Vision and Pattern Recognition

Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation

arXiv Feb 3, 2026
Deeply stacked KANs are practically impossible due to high training difficulties and substantial memory requirements. Consequently, existing studies can only incorporate few KAN layers, hindering the comprehensive exploration of KANs. This study over... read more 
Computer Vision and Pattern Recognition cs.LG

BinaryDemoire: Moiré-Aware Binarization for Image Demoiréing

arXiv Feb 3, 2026
Image demoiréing aims to remove structured moiré artifacts in recaptured imagery, where degradations are highly frequency-dependent and vary across scales and directions. While recent deep networks achieve high-quality restoration, their full-precisi... read more 
Computer Vision and Pattern Recognition

Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation

arXiv Feb 3, 2026
Inference-time scaling offers a versatile paradigm for aligning visual generative models with downstream objectives without parameter updates. However, existing approaches that optimize the high-dimensional initial noise suffer from severe inefficien... read more 
Machine Learning cs.CV
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