Artificial Intelligence Medical Compendium

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

Showing 33,731 to 33,740 of 221,422 articles

Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification

arXiv Apr 8, 2026
We present an end-to-end, iterative pipeline for efficient identification of strong galaxy--galaxy lensing systems, applied to the Euclid Q1 imaging data. Starting from VIS catalogues, we reject point sources, apply a magnitude cut (I$_E$ $\leq$ 24) ... read more 
Astrophysics of Galaxies cs.CV

GPAFormer: Graph-guided Patch Aggregation Transformer for Efficient 3D Medical Image Segmentation

arXiv Apr 8, 2026
Deep learning has been widely applied to 3D medical image segmentation tasks. However, due to the diversity of imaging modalities, the high-dimensional nature of the data, and the heterogeneity of anatomical structures, achieving both segmentation ac... read more 
Computer Vision and Pattern Recognition

Towards Robust Content Watermarking Against Removal and Forgery Attacks

arXiv Apr 8, 2026
Generated contents have raised serious concerns about copyright protection, image provenance, and credit attribution. A potential solution for these problems is watermarking. Recently, content watermarking for text-to-image diffusion models has been ... read more 
Computer Vision and Pattern Recognition cs.LG

VDPP: Video Depth Post-Processing for Speed and Scalability

arXiv Apr 8, 2026
Video depth estimation is essential for providing 3D scene structure in applications ranging from autonomous driving to mixed reality. Current end-to-end video depth models have established state-of-the-art performance. Although current end-to-end (E... read more 
Computer Vision and Pattern Recognition

4D Vessel Reconstruction for Benchtop Thrombectomy Analysis

arXiv Apr 8, 2026
Introduction: Mechanical thrombectomy can cause vessel deformation and procedure-related injury. Benchtop models are widely used for device testing, but time-resolved, full-field 3D vessel-motion measurements remain limited. Methods: We developed a... read more 
Image and Video Processing cs.CV physics.med-ph

GraphWalker: Graph-Guided In-Context Learning for Clinical Reasoning on Electronic Health Records

arXiv Apr 8, 2026
Clinical Reasoning on Electronic Health Records (EHRs) is a fundamental yet challenging task in modern healthcare. While in-context learning (ICL) offers a promising inference-time adaptation paradigm for large language models (LLMs) in EHR reasoning... read more 
Machine Learning

Towards Accurate and Calibrated Classification: Regularizing Cross-Entropy From A Generative Perspective

arXiv Apr 8, 2026
Accurate classification requires not only high predictive accuracy but also well-calibrated confidence estimates. Yet, modern deep neural networks (DNNs) are often overconfident, primarily due to overfitting on the negative log-likelihood (NLL). Whil... read more 
Machine Learning stat.ML

Bi-Lipschitz Autoencoder With Injectivity Guarantee

arXiv Apr 8, 2026
Autoencoders are widely used for dimensionality reduction, based on the assumption that high-dimensional data lies on low-dimensional manifolds. Regularized autoencoders aim to preserve manifold geometry during dimensionality reduction, but existing ... read more 
Machine Learning stat.ML

Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge Augmentation

arXiv Apr 8, 2026
Deciphering ancient Chinese Oracle Bone Script (OBS) is a challenging task that offers insights into the beliefs, systems, and culture of the ancient era. Existing approaches treat decipherment as a closed-set image recognition problem, which fails t... read more 
Computer Vision and Pattern Recognition cs.CL

Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency

arXiv Apr 8, 2026
Recent semi-dense image matching methods have achieved remarkable success, but two long-standing issues still impair their performance. At the coarse stage, the over-exclusion issue of their mutual nearest neighbor (MNN) matching layer makes them str... read more 
Computer Vision and Pattern Recognition
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