Artificial Intelligence Medical Compendium

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

Showing 39,401 to 39,410 of 223,737 articles

AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models

arXiv Mar 24, 2026
3D Gaussian Splatting (3DGS) is increasingly recognized as a powerful paradigm for real-time, high-fidelity 3D reconstruction. However, its per-scene optimization pipeline limits scalability and generalization, and prevents efficient inference. Recen... read more 
Computer Vision and Pattern Recognition

CoRe: Joint Optimization with Contrastive Learning for Medical Image Registration

arXiv Mar 24, 2026
Medical image registration is a fundamental task in medical image analysis, enabling the alignment of images from different modalities or time points. However, intensity inconsistencies and nonlinear tissue deformations pose significant challenges to... read more 
Computer Vision and Pattern Recognition

CDMT-EHR: A Continuous-Time Diffusion Framework for Generating Mixed-Type Time-Series Electronic Health Records

arXiv Mar 24, 2026
Electronic health records (EHRs) are invaluable for clinical research, yet privacy concerns severely restrict data sharing. Synthetic data generation offers a promising solution, but EHRs present unique challenges: they contain both numerical and cat... read more 
Machine Learning cs.AI

Bi-CRCL: Bidirectional Conservative-Radical Complementary Learning with Pre-trained Foundation Models for Class-incremental Medical Image Analysis

arXiv Mar 24, 2026
Class-incremental learning (CIL) in medical image-guided diagnosis requires retaining prior diagnostic knowledge while adapting to newly emerging disease categories, which is critical for scalable clinical deployment. This problem is particularly cha... read more 
Computer Vision and Pattern Recognition

Detection and Classification of (Pre)Cancerous Cells in Pap Smears: An Ensemble Strategy for the RIVA Cervical Cytology Challenge

arXiv Mar 24, 2026
Automated detection and classification of cervical cells in conventional Pap smear images can strengthen cervical cancer screening at scale by reducing manual workload, improving triage, and increasing consistency across readers. However, it is chall... read more 
Computer Vision and Pattern Recognition

Learning Cross-Joint Attention for Generalizable Video-Based Seizure Detection

arXiv Mar 24, 2026
Automated seizure detection from long-term clinical videos can substantially reduce manual review time and enable real-time monitoring. However, existing video-based methods often struggle to generalize to unseen subjects due to background bias and r... read more 
Computer Vision and Pattern Recognition

Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection

arXiv Mar 24, 2026
Unsupervised medical anomaly detection is severely limited by the scarcity of normal training samples. Existing methods typically train dedicated models for each dataset or disease, requiring hundreds of normal images per task and lacking cross-modal... read more 
Computer Vision and Pattern Recognition

Retinal Disease Classification from Fundus Images using CNN Transfer Learning

arXiv Mar 24, 2026
Retinal diseases remain among the leading preventable causes of visual impairment worldwide. Automated screening based on fundus image analysis has the potential to expand access to early detection, particularly in underserved populations. This paper... read more 
Computer Vision and Pattern Recognition cs.LG

Sparse Autoencoders for Interpretable Medical Image Representation Learning

arXiv Mar 24, 2026
Vision foundation models (FMs) achieve state-of-the-art performance in medical imaging. However, they encode information in abstract latent representations that clinicians cannot interrogate or verify. The goal of this study is to investigate Sparse ... read more 
Computer Vision and Pattern Recognition cs.LG

GeoFlow: Real-Time Fine-Grained Cross-View Geolocalization via Iterative Flow Prediction

arXiv Mar 23, 2026
Accurate and fast localization is vital for safe autonomous navigation in GPS-denied areas. Fine-Grained Cross-View Geolocalization (FG-CVG) aims to estimate the precise 2-Degree-of-Freedom (2-DoF) location of a ground image relative to a satellite i... read more 
Computer Vision and Pattern Recognition
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