Artificial Intelligence Medical Compendium

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

Showing 50,881 to 50,890 of 225,062 articles

Implicit-Scale 3D Reconstruction for Multi-Food Volume Estimation from Monocular Images

arXiv Feb 13, 2026
We present Implicit-Scale 3D Reconstruction from Monocular Multi-Food Images, a benchmark dataset designed to advance geometry-based food portion estimation in realistic dining scenarios. Existing dietary assessment methods largely rely on single-ima... read more 
Computer Vision and Pattern Recognition

Curriculum-DPO++: Direct Preference Optimization via Data and Model Curricula for Text-to-Image Generation

arXiv Feb 13, 2026
Direct Preference Optimization (DPO) has been proposed as an effective and efficient alternative to reinforcement learning from human feedback (RLHF). However, neither RLHF nor DPO take into account the fact that learning certain preferences is more ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

A Calibrated Memorization Index (MI) for Detecting Training Data Leakage in Generative MRI Models

arXiv Feb 13, 2026
Image generative models are known to duplicate images from the training data as part of their outputs, which can lead to privacy concerns when used for medical image generation. We propose a calibrated per-sample metric for detecting memorization and... read more 
Computer Vision and Pattern Recognition

SIEFormer: Spectral-Interpretable and -Enhanced Transformer for Generalized Category Discovery

arXiv Feb 13, 2026
This paper presents a novel approach, Spectral-Interpretable and -Enhanced Transformer (SIEFormer), which leverages spectral analysis to reinterpret the attention mechanism within Vision Transformer (ViT) and enhance feature adaptability, with partic... read more 
Computer Vision and Pattern Recognition

Universal Transformation of One-Class Classifiers for Unsupervised Anomaly Detection

arXiv Feb 13, 2026
Detecting anomalies in images and video is an essential task for multiple real-world problems, including industrial inspection, computer-assisted diagnosis, and environmental monitoring. Anomaly detection is typically formulated as a one-class classi... read more 
Computer Vision and Pattern Recognition

LinkedNN: a neural model of linkage disequilibrium decay for recent effective population size inference

arXiv Feb 13, 2026
Summary: A bioinformatics tool is presented for estimating recent effective population size by using a neural network to automatically compute linkage disequilibrium-related features as a function of genomic distance between polymorphisms. The new me... read more 
Populations and Evolution q-bio.QM

Realistic Face Reconstruction from Facial Embeddings via Diffusion Models

arXiv Feb 13, 2026
With the advancement of face recognition (FR) systems, privacy-preserving face recognition (PPFR) systems have gained popularity for their accurate recognition, enhanced facial privacy protection, and robustness to various attacks. However, there are... read more 
Computer Vision and Pattern Recognition cs.LG

Monocular Markerless Motion Capture Enables Quantitative Assessment of Upper Extremity Reachable Workspace

arXiv Feb 13, 2026
To validate a clinically accessible approach for quantifying the Upper Extremity Reachable Workspace (UERW) using a single (monocular) camera and Artificial Intelligence (AI)-driven Markerless Motion Capture (MMC) for biomechanical analysis. Objectiv... read more 
Computer Vision and Pattern Recognition

CoPE-VideoLM: Codec Primitives For Efficient Video Language Models

arXiv Feb 13, 2026
Video Language Models (VideoLMs) empower AI systems to understand temporal dynamics in videos. To fit to the maximum context window constraint, current methods use keyframe sampling which can miss both macro-level events and micro-level details due t... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

Conversational Image Segmentation: Grounding Abstract Concepts with Scalable Supervision

arXiv Feb 13, 2026
Conversational image segmentation grounds abstract, intent-driven concepts into pixel-accurate masks. Prior work on referring image grounding focuses on categorical and spatial queries (e.g., "left-most apple") and overlooks functional and physical r... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals