Artificial Intelligence Medical Compendium

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

Showing 47,281 to 47,290 of 224,199 articles

How to Take a Memorable Picture? Empowering Users with Actionable Feedback

arXiv Feb 25, 2026
Image memorability, i.e., how likely an image is to be remembered, has traditionally been studied in computer vision either as a passive prediction task, with models regressing a scalar score, or with generative methods altering the visual input to b... read more 
Computer Vision and Pattern Recognition

EndoDDC: Learning Sparse to Dense Reconstruction for Endoscopic Robotic Navigation via Diffusion Depth Completion

arXiv Feb 25, 2026
Accurate depth estimation plays a critical role in the navigation of endoscopic surgical robots, forming the foundation for 3D reconstruction and safe instrument guidance. Fine-tuning pretrained models heavily relies on endoscopic surgical datasets w... read more 
Computer Vision and Pattern Recognition

EndoDDC: Learning Sparse to Dense Reconstruction for Endoscopic Robotic Navigation via Diffusion Depth Completion

arXiv Feb 25, 2026
Accurate depth estimation plays a critical role in the navigation of endoscopic surgical robots, forming the foundation for 3D reconstruction and safe instrument guidance. Fine-tuning pretrained models heavily relies on endoscopic surgical datasets w... read more 
Computer Vision and Pattern Recognition

TIRAuxCloud: A Thermal Infrared Dataset for Day and Night Cloud Detection

arXiv Feb 25, 2026
Clouds are a major obstacle in Earth observation, limiting the usability and reliability of critical remote sensing applications such as fire disaster response, urban heat island monitoring, and snow and ice cover mapping. Therefore, the ability to d... read more 
Computer Vision and Pattern Recognition

Protein Graph Neural Networks for Heterogeneous Cryo-EM Reconstruction

arXiv Feb 25, 2026
We present a geometry-aware method for heterogeneous single-particle cryogenic electron microscopy (cryo-EM) reconstruction that predicts atomic backbone conformations. To incorporate protein-structure priors, we represent the backbone as a graph and... read more 
Computer Vision and Pattern Recognition

Scan Clusters, Not Pixels: A Cluster-Centric Paradigm for Efficient Ultra-high-definition Image Restoration

arXiv Feb 25, 2026
Ultra-High-Definition (UHD) image restoration is trapped in a scalability crisis: existing models, bound to pixel-wise operations, demand unsustainable computation. While state space models (SSMs) like Mamba promise linear complexity, their pixel-ser... read more 
Computer Vision and Pattern Recognition

Geometry-as-context: Modulating Explicit 3D in Scene-consistent Video Generation to Geometry Context

arXiv Feb 25, 2026
Scene-consistent video generation aims to create videos that explore 3D scenes based on a camera trajectory. Previous methods rely on video generation models with external memory for consistency, or iterative 3D reconstruction and inpainting, which a... read more 
Computer Vision and Pattern Recognition

A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography

arXiv Feb 25, 2026
Coronary artery calcium (CAC) scoring is a key predictor of cardiovascular risk, but it relies on ECG-gated CT scans, restricting its use to specialized cardiac imaging settings. We introduce an automated framework for CAC detection and lesion-specif... read more 
Computer Vision and Pattern Recognition cs.AI

Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading

arXiv Feb 25, 2026
Diabetic Retinopathy (DR) progresses as a continuous and irreversible deterioration of the retina, following a well-defined clinical trajectory from mild to severe stages. However, most existing ordinal regression approaches model DR severity as a se... read more 
Computer Vision and Pattern Recognition

Mobile-Ready Automated Triage of Diabetic Retinopathy Using Digital Fundus Images

arXiv Feb 25, 2026
Diabetic Retinopathy (DR) is a major cause of vision impairment worldwide. However, manual diagnosis is often time-consuming and prone to errors, leading to delays in screening. This paper presents a lightweight automated deep learning framework for ... read more 
Computer Vision and Pattern Recognition
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