Artificial Intelligence Medical Compendium

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

Showing 59,631 to 59,640 of 228,014 articles

The Pictorial Cortex: Zero-Shot Cross-Subject fMRI-to-Image Reconstruction via Compositional Latent Modeling

arXiv Jan 21, 2026
Decoding visual experiences from human brain activity remains a central challenge at the intersection of neuroscience, neuroimaging, and artificial intelligence. A critical obstacle is the inherent variability of cortical responses: neural activity e... read more 
Computer Vision and Pattern Recognition

Three-dimensional visualization of X-ray micro-CT with large-scale datasets: Efficiency and accuracy for real-time interaction

arXiv Jan 21, 2026
As Micro-CT technology continues to refine its characterization of material microstructures, industrial CT ultra-precision inspection is generating increasingly large datasets, necessitating solutions to the trade-off between accuracy and efficiency ... read more 
Computer Vision and Pattern Recognition

Physics-Informed Wireless Imaging with Implicit Neural Representation in RIS-Aided ISAC System

arXiv Jan 21, 2026
Wireless imaging is emerging as a key capability in next-generation integrated sensing and communication (ISAC) systems, supporting diverse context-aware applications. However, conventional imaging approaches, whether based on physical models or data... read more 
Information Theory

Vision Models for Medical Imaging: A Hybrid Approach for PCOS Detection from Ultrasound Scans

arXiv Jan 21, 2026
Polycystic Ovary Syndrome (PCOS) is the most familiar endocrine illness in women of reproductive age. Many Bangladeshi women suffer from PCOS disease in their older age. The aim of our research is to identify effective vision-based medical image anal... read more 
Image and Video Processing cs.CV

BREPS: Bounding-Box Robustness Evaluation of Promptable Segmentation

arXiv Jan 21, 2026
Promptable segmentation models such as SAM have established a powerful paradigm, enabling strong generalization to unseen objects and domains with minimal user input, including points, bounding boxes, and text prompts. Among these, bounding boxes sta... read more 
Computer Vision and Pattern Recognition cs.AI cs.HC

Graph Recognition via Subgraph Prediction

arXiv Jan 21, 2026
Despite tremendous improvements in tasks such as image classification, object detection, and segmentation, the recognition of visual relationships, commonly modeled as the extraction of a graph from an image, remains a challenging task. We believe th... read more 
Computer Vision and Pattern Recognition cs.LG

BayesianVLA: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries

arXiv Jan 21, 2026
Vision-Language-Action (VLA) models have shown promise in robot manipulation but often struggle to generalize to new instructions or complex multi-task scenarios. We identify a critical pathology in current training paradigms where goal-driven data c... read more 
Artificial Intelligence cs.CL cs.CV cs.RO

A Computer Vision Hybrid Approach: CNN and Transformer Models for Accurate Alzheimer's Detection from Brain MRI Scans

arXiv Jan 21, 2026
Early and accurate classification of Alzheimers disease (AD) from brain MRI scans is essential for timely clinical intervention and improved patient outcomes. This study presents a comprehensive comparative analysis of five CNN architectures (Efficie... read more 
Computer Vision and Pattern Recognition

ZENITH: Automated Gradient Norm Informed Stochastic Optimization

arXiv Jan 21, 2026
Training deep computer vision models requires manual oversight or hyperparameter tuning of the learning rate (LR) schedule. While existing adaptive optimizers schedule the LR automatically, they suffer from computational and memory overhead, incompat... read more 
Machine Learning cs.CV

ScenDi: 3D-to-2D Scene Diffusion Cascades for Urban Generation

arXiv Jan 21, 2026
Recent advancements in 3D object generation using diffusion models have achieved remarkable success, but generating realistic 3D urban scenes remains challenging. Existing methods relying solely on 3D diffusion models tend to suffer a degradation in ... read more 
Computer Vision and Pattern Recognition
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