Artificial Intelligence Medical Compendium

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

Showing 1,141 to 1,150 of 213,401 articles

PACE: Polar Axis-Conditioned Estimation for PairUAV Relative Localization

arXiv Jul 19, 2026
PairUAV relative localization maps two UAV images to a polar navigation command. Although heading and range share the same pairwise pose context, treating them as homogeneous coordinates forces both outputs to use the same decoder evidence and optimi... read more 
Computer Vision and Pattern Recognition

MIS-HCC: Hierarchical Channel Clustering for Efficient Medical Image Segmentation

arXiv Jul 19, 2026
Medical image segmentation models require both high accuracy and lightweight design to accommodate real-world medical applications. The deployment of these models on resource-limited medical platforms remains a significant challenge due to their high... read more 
Computer Vision and Pattern Recognition

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation

arXiv Jul 19, 2026
Interactive egocentric medical image segmentation (IEMIS) plays an important role in smart-glasses-assisted medical image review, segmenting the medical targets a clinician refers to from their egocentric view. Once it succeeds, the object-level visu... read more 
Computer Vision and Pattern Recognition

A multiverse-consensus pipeline for reproducible feature selection in untargeted LC-MS metabolomics

arXiv Jul 19, 2026
Background: Untargeted LC-MS metabolomics requires a long chain of preprocessing decisions, each with several equally defensible options. Analysts typically commit to one pipeline and report the resulting feature shortlist. How strongly that shortlis... read more 
Machine Learning q-bio.GN

Kernel Regression with Tensor Trains and Hadamard Overparameterization

arXiv Jul 19, 2026
Kernel regression with tensor trains and Hadamard overparameterization (KReTTaH) is introduced as a training-data-free, interpretable, and nonparametric framework for multi-way data imputation. The imputation problem is reformulated as regression in ... read more 
Machine Learning cs.LG eess.SP

Automating Visual Recognition of Leprosy in Wild Chimpanzees

arXiv Jul 19, 2026
Leprosy (Mycobacterium leprae) has been confirmed in wild western chimpanzees (Pan troglodytes verus) in West Africa, presenting as clear and progressive visual symptoms. Manual review of camera-trap footage at landscape scale is infeasible, motivati... read more 
Computer Vision and Pattern Recognition

Does Super-Resolution Preserve Defect Evidence? A Low-False-Call Benchmark for Semiconductor Inspection

arXiv Jul 19, 2026
Super-resolution can make inspection images appear sharper without preserving the evidence needed to detect a defect. We study this failure mode with a benchmark that separates reconstruction from detection and evaluates both at a predeclared low fal... read more 
Computer Vision and Pattern Recognition

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering

arXiv Jul 19, 2026
Inverse rendering is traditionally solved via differentiable renderers and gradient descent, which requires substantial problem-specific engineering and is prone to getting stuck in local minima due to ambiguities. Derivative-free approaches alleviat... read more 
Graphics cs.LG

CORAL: Learning Amyloid Fibril Ligand Docking with Cooperative Binding Rewards

arXiv Jul 19, 2026
A hallmark of neurodegenerative diseases such as Alzheimer's and Parkinson's is the aberrant aggregation of proteins into amyloid fibrils, and small molecules that selectively bind to these fibrils hold promise as diagnostics, imaging probes, and the... read more 
Machine Learning

An Explainable FFT-Based Spatial-Frequency Fusion Framework for Deepfake Detection

arXiv Jul 19, 2026
Deepfake generation has raised growing concerns regarding digital media authenticity, misinformation, identity fraud, and public trust. Recent studies show that combining spatial and frequency features leads to stronger detection results than using i... read more 
Computer Vision and Pattern Recognition
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