Artificial Intelligence Medical Compendium

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

Showing 36,011 to 36,020 of 223,137 articles

PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction

arXiv
Three-dimensional medical image data and computer-aided decision making, particularly using deep learning, are becoming increasingly important in the medical field. To aid in these developments we introduce PR3DICTR: Platform for Research in 3D Image... read more 

The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report

arXiv
This paper reviews the NTIRE 2026 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects, such as runtime, paramete... read more 

Real-Time Surrogate Modeling for Personalized Blood Flow Prediction and Hemodynamic Analysis

arXiv
Cardiovascular modeling has rapidly advanced over the past few decades due to the rising needs for health tracking and early detection of cardiovascular diseases. While 1-D arterial models offer an attractive compromise between computational efficien... read more 

Multi-View Video Diffusion Policy: A 3D Spatio-Temporal-Aware Video Action Model

arXiv
Robotic manipulation requires understanding both the 3D spatial structure of the environment and its temporal evolution, yet most existing policies overlook one or both. They typically rely on 2D visual observations and backbones pretrained on static... read more 

SFFNet: Synergistic Feature Fusion Network With Dual-Domain Edge Enhancement for UAV Image Object Detection

arXiv
Object detection in unmanned aerial vehicle (UAV) images remains a highly challenging task, primarily caused by the complexity of background noise and the imbalance of target scales. Traditional methods easily struggle to effectively separate objects... read more 

EffiMiniVLM: A Compact Dual-Encoder Regression Framework

arXiv
Predicting product quality from multimodal item information is critical in cold-start scenarios, where user interaction history is unavailable and predictions must rely on images and textual metadata. However, existing vision-language models typicall... read more 

CAMEO: A Conditional and Quality-Aware Multi-Agent Image Editing Orchestrator

arXiv
Conditional image editing aims to modify a source image according to textual prompts and optional reference guidance. Such editing is crucial in scenarios requiring strict structural control (i.e., anomaly insertion in driving scenes and complex huma... read more 

DSBD: Dual-Aligned Structural Basis Distillation for Graph Domain Adaptation

arXiv
Graph domain adaptation (GDA) aims to transfer knowledge from a labeled source graph to an unlabeled target graph under distribution shifts. However, existing methods are largely feature-centric and overlook structural discrepancies, which become par... read more 

HyperFitS -- Hypernetwork Fitting Spectra for metabolic quantification of ${}^1$H MR spectroscopic imaging

arXiv
Purpose: Proton magnetic resonance spectroscopic imaging ($^1$H MRSI) enables the mapping of whole-brain metabolites concentrations in-vivo. However, a long-standing problem for its clinical applicability is the metabolic quantification, which can re... read more 

SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation

arXiv
Few-Shot Medical Image Segmentation (FSMIS) aims to segment novel object classes in medical images using only minimal annotated examples, addressing the critical challenges of data scarcity and domain shifts prevalent in medical imaging. While Diffus... read more