Artificial Intelligence Medical Compendium

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

Showing 26,731 to 26,740 of 218,283 articles

ArchSym: Detecting 3D-Grounded Architectural Symmetries in the Wild

arXiv Apr 24, 2026
Symmetry detection is a fundamental problem in computer vision, and symmetries serve as powerful priors for downstream tasks. However, existing learning-based methods for detecting 3D symmetries from single images have been almost exclusively trained... read more 
Computer Vision and Pattern Recognition

Breaking Watermarks in the Frequency Domain: A Modulated Diffusion Attack Framework

arXiv Apr 24, 2026
Digital image watermarking has advanced rapidly for copyright protection of generative AI, yet the comparatively limited progress in watermark attack techniques has broken the attack-defense balance and hindered further advances in the field. In this... read more 
Computer Vision and Pattern Recognition

Protect the Brain When Treating the Heart: A Convolutional Neural Network for Detecting Emboli

arXiv Apr 24, 2026
Gaseous microemboli (GME) represent a common complication of cardiac structural interventions across both surgical and transcatheter approaches. Transthoracic cardiac ultrasound imaging represents a convenient methodology to visualize the presence of... read more 
Machine Learning cs.AI

Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset

arXiv Apr 24, 2026
Urban transportation systems face growing safety challenges that require scalable intelligence for emerging smart mobility infrastructures. While recent advances in foundation models and large-scale multimodal datasets have strengthened perception an... read more 
Computer Vision and Pattern Recognition cs.AI

Early Preconfiguration Failure: A Novel Predictor of the Repetitive Subconcussion

arXiv Apr 24, 2026
Early diagnosis and assessment of repetitive subconcussive (rSC) brain injuries are crucial for early clinical intervention. Conventional methods, largely relying on slow fMRI, fail to capture millisecond-level early cortical dynamics, particularly s... read more 
Neurons and Cognition

DocPrune:Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning

arXiv Apr 24, 2026
Recent advances in vision-language models have demonstrated remarkable performance across diverse multi-modal tasks, including document question answering that leverages structured visual cues from text, tables, and figures. However, unlike natural i... read more 
Computer Vision and Pattern Recognition

Evaluation of image simulation open source solutions for simulation of synthetic images in lunar environment

arXiv Apr 24, 2026
Synthetic image generation is one of the crucial input for planetary missions. It enables researchers and engineers to visualize planned planetary missions, test imaging systems and plan exploration activities in a virtual environment before actual d... read more 
Computer Vision and Pattern Recognition

Knowledge Visualization: A Benchmark and Method for Knowledge-Intensive Text-to-Image Generation

arXiv Apr 24, 2026
Recent text-to-image (T2I) models have demonstrated impressive capabilities in photorealistic synthesis and instruction following. However, their reliability in knowledge-intensive settings remains largely unexplored. Unlike natural image generation,... read more 
Computer Vision and Pattern Recognition

Revisiting Geometric Obfuscation with Dual Convergent Lines for Privacy-Preserving Image Queries in Visual Localization

arXiv Apr 24, 2026
Privacy-Preserving Image Queries (PPIQ) are an emerging mechanism for cloud-based visual localization, enabling pose estimation from obfuscated features instead of private images or raw keypoints. However, the main approaches for PPIQ, primarily geom... read more 
Computer Vision and Pattern Recognition

TabSCM: A practical Framework for Generating Realistic Tabular Data

arXiv Apr 24, 2026
Most tabular-data generators match marginal statistics yet ignore causal structure, leading downstream models to learn spurious or unfair patterns. We present TabSCM, a mixed-type generator that preserves those causal dependencies. Starting from a Co... read more 
Machine Learning
Popular Topics
Recent Journals