Artificial Intelligence Medical Compendium

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

Showing 38,181 to 38,190 of 223,469 articles

Adapting Segment Anything Model 3 for Concept-Driven Lesion Segmentation in Medical Images: An Experimental Study

arXiv Mar 26, 2026
Accurate lesion segmentation is essential in medical image analysis, yet most existing methods are designed for specific anatomical sites or imaging modalities, limiting their generalizability. Recent vision-language foundation models enable concept-... read more 
Image and Video Processing cs.CV

Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis

arXiv Mar 26, 2026
Implicit neural representations (INRs) have emerged as a powerful framework for continuous image representation learning. In Functa-based approaches, each image is encoded as a latent modulation vector that conditions a shared INR, enabling strong re... read more 
Computer Vision and Pattern Recognition

Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE)

arXiv Mar 26, 2026
Diffusion Magnetic Resonance Imaging (dMRI) plays a critical role in studying microstructural changes in the brain. It is, therefore, widely used in clinical practice; yet progress in learning general-purpose representations from dMRI has been limite... read more 
Computer Vision and Pattern Recognition

Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Uncurated Hospital Data

arXiv Mar 26, 2026
This study assesses whether self-supervised learning (SSL) improves knee osteoarthritis (OA) modeling for diagnosis and prognosis relative to ImageNet-pretrained initialization. We compared (i) image-only SSL pretrained on knee radiographs from the O... read more 
Computer Vision and Pattern Recognition

Associative Memory using Attribute-Specific Neuron Groups-2: Learning and Sequential Associative Recall between Cue Neurons for different Cue Balls

arXiv Mar 26, 2026
This paper introduces a neural network model that learns multiple attributes as images and performs associated, sequential recall of the learned memories. Briefly, the model presented here is an associative memory model that extends previous models [... read more 
Neural and Evolutionary Computing

ICTPolarReal: A Polarized Reflection and Material Dataset of Real World Objects

arXiv Mar 26, 2026
Accurately modeling how real-world materials reflect light remains a core challenge in inverse rendering, largely due to the scarcity of real measured reflectance data. Existing approaches rely heavily on synthetic datasets with simplified illuminati... read more 
Computer Vision and Pattern Recognition

BiFM: Bidirectional Flow Matching for Few-Step Image Editing and Generation

arXiv Mar 26, 2026
Recent diffusion and flow matching models have demonstrated strong capabilities in image generation and editing by progressively removing noise through iterative sampling. While this enables flexible inversion for semantic-preserving edits, few-step ... read more 
Computer Vision and Pattern Recognition

Self-Corrected Image Generation with Explainable Latent Rewards

arXiv Mar 26, 2026
Despite significant progress in text-to-image generation, aligning outputs with complex prompts remains challenging, particularly for fine-grained semantics and spatial relations. This difficulty stems from the feed-forward nature of generation, whic... read more 
Computer Vision and Pattern Recognition cs.AI

PASDiff: Physics-Aware Semantic Guidance for Joint Real-world Low-Light Face Enhancement and Restoration

arXiv Mar 26, 2026
Face images captured in real-world low light suffer multiple degradations-low illumination, blur, noise, and low visibility, etc. Existing cascaded solutions often suffer from severe error accumulation, while generic joint models lack explicit facial... read more 
Computer Vision and Pattern Recognition

MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models

arXiv Mar 26, 2026
Mixture-of-Experts (MoE) has emerged as an effective approach to reduce the computational overhead of Transformer architectures by sparsely activating a subset of parameters for each token while preserving high model capacity. This paradigm has recen... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals