Artificial Intelligence Medical Compendium

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

Showing 25,951 to 25,960 of 217,905 articles

Deploy DINO with Many-to-Many Association

arXiv Apr 26, 2026
Motivated by the limited generalization of supervised image matching models to unseen image domains, we explore the zero-shot deployment of DINO features for this task. The generalist visual representation extracted from DINO has inherent ambiguity w... read more 
Computer Vision and Pattern Recognition

GS-DOT: Gaussian splatting-based image reconstruction for diffuse optical tomography

arXiv Apr 26, 2026
This work presents GS-DOT, a novel image reconstruction framework based on Gaussian Splatting (GS) for diffuse optical tomography (DOT). Inspired by GS for rendering applications, absorption coefficients are represented as a sparse sum of anisotropic... read more 
Image and Video Processing cs.CV physics.med-ph

Learning to Decipher from Pixels -- A Case Study of Copiale

arXiv Apr 26, 2026
Historical encrypted manuscripts require both paleographic interpretation of cipher symbols and cryptanalytic recovery of plaintext. Most existing computational workflows rely on a transcription-first paradigm, in which handwritten symbols are transc... read more 
Computer Vision and Pattern Recognition

Reading in the Dark: Low-light Scene Text Recognition

arXiv Apr 26, 2026
Accurate text recognition in low-light environments is essential for intelligent systems in applications ranging from autonomous vehicles to smart surveillance. However, challenges such as poor illumination and noise interference remain underexplored... read more 
Computer Vision and Pattern Recognition

Do Protective Perturbations Really Protect Portrait Privacy under Real-world Image Transformations?

arXiv Apr 26, 2026
Proactive defense methods protect portrait images from unauthorized editing or talking face generation (TFG) by introducing pixel-level protective perturbations, and have already attracted increasing attention for privacy protection. In real-world sc... read more 
Computer Vision and Pattern Recognition

Agri-CPJ: A Training-Free Explainable Framework for Agricultural Pest Diagnosis Using Caption-Prompt-Judge and LLM-as-a-Judge

arXiv Apr 26, 2026
Crop disease diagnosis from field photographs faces two recurring problems: models that score well on benchmarks frequently hallucinate species names, and when predictions are correct, the reasoning behind them is typically inaccessible to the practi... read more 
Computation and Language cs.AI cs.CV

Weakly Supervised Multicenter Nancy Index Scoring in Ulcerative Colitis Using Foundation Models

arXiv Apr 26, 2026
Histologic assessment of ulcerative colitis (UC) activity is an important endpoint in clinical trials and routine care, but manual grading with indices such as the Nancy histological index (NHI) is time-consuming and prone to observer variability. Wh... read more 
Computer Vision and Pattern Recognition

ZID-Net: Zero-Inference Diffusion Prior Decoupling Network for Single Image Dehazing

arXiv Apr 26, 2026
Single image dehazing is often constrained by a trade-off between restoration quality and computational efficiency. While efficient, CNN networks struggle to learn robust priors for dense and non-homogeneous haze. Conversely, diffusion models provide... read more 
Computer Vision and Pattern Recognition eess.IV

The Dark Side of Love: Prediction of Digital Intimate Partner Violence and Associated Factors Among University Students Using Machine Learning.

Journal of interpersonal violence Apr 26, 2026
This study aimed to identify key risk factors and predict digital intimate partner violence (DIPV) exposure and perpetration among university students using machine learning (ML) algorithms. A cross-sectional online survey was conducted with 1,764 un... read more 

MetaboNet: The Largest Publicly Available Consolidated Data Set for Type 1 Diabetes Management.

Journal of diabetes science and technology Apr 26, 2026
BACKGROUND: Progress in type 1 diabetes (T1D) algorithm development is limited by the fragmentation and lack of standardization across existing T1D management data sets. Current data sets differ substantially in structure and are time-consuming to ac... read more 
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