Artificial Intelligence Medical Compendium

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

Showing 38,761 to 38,770 of 223,469 articles

BCMDA: Bidirectional Correlation Maps Domain Adaptation for Mixed Domain Semi-Supervised Medical Image Segmentation

arXiv Mar 25, 2026
In mixed domain semi-supervised medical image segmentation (MiDSS), achieving superior performance under domain shift and limited annotations is challenging. This scenario presents two primary issues: (1) distributional differences between labeled an... read more 
Computer Vision and Pattern Recognition

Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses

arXiv Mar 25, 2026
Spiking neural networks (SNNs) are promising for neuromorphic computing, but high-performing models still rely on dense multilayer architectures with substantial communication and state-storage costs. Inspired by autapses, we propose time-delayed aut... read more 
Neural and Evolutionary Computing cs.AI

Amplified Patch-Level Differential Privacy for Free via Random Cropping

arXiv Mar 25, 2026
Random cropping is one of the most common data augmentation techniques in computer vision, yet the role of its inherent randomness in training differentially private machine learning models has thus far gone unexplored. We observe that when sensitive... read more 
Machine Learning cs.CR cs.CV

LLaVA-LE: Large Language-and-Vision Assistant for Lunar Exploration

arXiv Mar 25, 2026
Recent advances in multimodal vision-language models (VLMs) have enabled joint reasoning over visual and textual information, yet their application to planetary science remains largely unexplored. A key hindrance is the absence of large-scale dataset... read more 
Computer Vision and Pattern Recognition

Lookalike3D: Seeing Double in 3D

arXiv Mar 25, 2026
3D object understanding and generation methods produce impressive results, yet they often overlook a pervasive source of information in real-world scenes: repeated objects. We introduce the task of lookalike object detection in indoor scenes, which l... read more 
Computer Vision and Pattern Recognition

Confidence-Based Mesh Extraction from 3D Gaussians

arXiv Mar 25, 2026
Recently, 3D Gaussian Splatting (3DGS) greatly accelerated mesh extraction from posed images due to its explicit representation and fast software rasterization. While the addition of geometric losses and other priors has improved the accuracy of extr... read more 
Computer Vision and Pattern Recognition cs.GR

A Framework for Generating Semantically Ambiguous Images to Probe Human and Machine Perception

arXiv Mar 25, 2026
The classic duck-rabbit illusion reveals that when visual evidence is ambiguous, the human brain must decide what it sees. But where exactly do human observers draw the line between ''duck'' and ''rabbit'', and do machine classifiers draw it in the s... read more 
Computer Vision and Pattern Recognition

OpenCap Monocular: 3D Human Kinematics and Musculoskeletal Dynamics from a Single Smartphone Video

arXiv Mar 25, 2026
Quantifying human movement (kinematics) and musculoskeletal forces (kinetics) at scale, such as estimating quadriceps force during a sit-to-stand movement, could transform prediction, treatment, and monitoring of mobility-related conditions. However,... read more 
Computer Vision and Pattern Recognition eess.IV q-bio.QM

AutoSAM: an Agentic Framework for Automating Input File Generation for the SAM Code with Multi-Modal Retrieval-Augmented Generation

arXiv Mar 25, 2026
In the design and safety analysis of advanced reactor systems, constructing input files for system-level thermal-hydraulics codes such as the System Analysis Module (SAM) remains a labor-intensive task. Analysts must extract and reconcile design data... read more 
Artificial Intelligence cs.LG

Learning relationships in epidemiological data using graph neural networks

arXiv Mar 25, 2026
When designing control strategies for an infectious disease it is critical to identify the key pathways of transmission. Data on infected hosts - when they were born, where they lived and with whom they interacted - can help infer sources of infectio... read more 
Quantitative Methods
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