Artificial Intelligence Medical Compendium

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

Showing 31,521 to 31,530 of 220,544 articles

Cross-Attentive Multiview Fusion of Vision-Language Embeddings

arXiv Apr 14, 2026
Vision-language models have been key to the development of open-vocabulary 2D semantic segmentation. Lifting these models from 2D images to 3D scenes, however, remains a challenging problem. Existing approaches typically back-project and average 2D d... read more 
Computer Vision and Pattern Recognition

Evolution-Inspired Sample Competition for Deep Neural Network Optimization

arXiv Apr 14, 2026
Conventional deep network training generally optimizes all samples under a largely uniform learning paradigm, without explicitly modeling the heterogeneous competition among them. Such an oversimplified treatment can lead to several well-known issues... read more 
Computer Vision and Pattern Recognition

Cross-Modal Knowledge Distillation for PET-Free Amyloid-Beta Detection from MRI

arXiv Apr 14, 2026
Detecting amyloid-$β$ (A$β$) positivity is crucial for early diagnosis of Alzheimer's disease but typically requires PET imaging, which is costly, invasive, and not widely accessible, limiting its use for population-level screening. We address this g... read more 
Computer Vision and Pattern Recognition

StructDiff: A Structure-Preserving and Spatially Controllable Diffusion Model for Single-Image Generation

arXiv Apr 14, 2026
This paper introduces StructDiff, a generative framework based on a single-scale diffusion model for single-image generation. Single-image generation aims to synthesize diverse samples with similar visual content to the source image by capturing its ... read more 
Computer Vision and Pattern Recognition

EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts

arXiv Apr 14, 2026
Electroencephalography (EEG)-based multimodal learning integrates brain signals with complementary modalities to improve mental state assessment, providing great clinical potential. The effectiveness of such paradigms largely depends on the represent... read more 
Machine Learning

PDF-GS: Progressive Distractor Filtering for Robust 3D Gaussian Splatting

arXiv Apr 14, 2026
Recent advances in 3D Gaussian Splatting (3DGS) have enabled impressive real-time photorealistic rendering. However, conventional training pipelines inherently assume full multi-view consistency among input images, which makes them sensitive to distr... read more 
Computer Vision and Pattern Recognition

Machine Learning-Based Real-Time Detection of Compensatory Trunk Movements Using Trunk-Wrist Inertial Measurement Units

arXiv Apr 14, 2026
Compensatory trunk movements (CTMs) are commonly observed after stroke and can lead to maladaptive movement patterns, limiting targeted training of affected structures. Objective, continuous detection of CTMs during therapy and activities of daily li... read more 
Robotics

Spatial-Spectral Adaptive Fidelity and Noise Prior Reduction Guided Hyperspectral Image Denoising

arXiv Apr 14, 2026
The core challenge of hyperspectral image denoising is striking the right balance between data fidelity and noise prior modeling. Most existing methods place too much emphasis on the intrinsic priors of the image while overlooking diverse noise assum... read more 
Computer Vision and Pattern Recognition math.NA

Artificial intelligence in pediatric urology: Opportunities, limitations, and the need for methodological rigor.

Journal of pediatric urology Apr 14, 2026
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Unboxing deep learning models using gradient-based methods - A tutorial.

Analytica chimica acta Apr 14, 2026
Deep learning models, particularly convolutional neural networks, have demonstrated remarkable performance in regression and classification tasks involving spectroscopic data. However, their black-box nature is considered a major drawback limiting th... read more 
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