Artificial Intelligence Medical Compendium

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

Showing 38,091 to 38,100 of 223,469 articles

Consistency Beyond Contrast: Enhancing Open-Vocabulary Object Detection Robustness via Contextual Consistency Learning

arXiv Mar 27, 2026
Recent advances in open-vocabulary object detection focus primarily on two aspects: scaling up datasets and leveraging contrastive learning to align language and vision modalities. However, these approaches often neglect internal consistency within a... read more 
Computer Vision and Pattern Recognition

Progressive Learning with Anatomical Priors for Reliable Left Atrial Scar Segmentation from Late Gadolinium Enhancement MRI

arXiv Mar 27, 2026
Cardiac MRI late gadolinium enhancement (LGE) enables non-invasive identification of left atrial (LA) scar, whose spatial distribution is strongly associated with atrial fibrillation (AF) severity and recurrence. However, automatic LA scar segmentati... read more 
Computer Vision and Pattern Recognition cs.AI

OSA: Echocardiography Video Segmentation via Orthogonalized State Update and Anatomical Prior-aware Feature Enhancement

arXiv Mar 27, 2026
Accurate and temporally consistent segmentation of the left ventricle from echocardiography videos is essential for estimating the ejection fraction and assessing cardiac function. However, modeling spatiotemporal dynamics remains difficult due to se... read more 
Computer Vision and Pattern Recognition

4DRaL: Bridging 4D Radar with LiDAR for Place Recognition using Knowledge Distillation

arXiv Mar 27, 2026
Place recognition is crucial for loop closure detection and global localization in robotics. Although mainstream algorithms typically rely on cameras and LiDAR, these sensors are susceptible to adverse weather conditions. Fortunately, the recently de... read more 
Computer Vision and Pattern Recognition cs.RO

Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process

arXiv Mar 27, 2026
In a previous work (Elaarabi et al., 2025b), the Sequence Encoder for online dynamical system identification (Elaarabi et al., 2025a) and its combination with PINN (PINN-SE) were introduced and tested on both synthetic and real data case scenarios. T... read more 
Computational Engineering, Finance, and Science cs.AI

Improving Risk Stratification in Hypertrophic Cardiomyopathy: A Novel Score Combining Echocardiography, Clinical, and Medication Data

arXiv Mar 27, 2026
Hypertrophic cardiomyopathy (HCM) requires accurate risk stratification to inform decisions regarding ICD therapy and follow-up management. Current established models, such as the European Society of Cardiology (ESC) score, exhibit moderate discrimin... read more 
Machine Learning

Contrastive Conformal Sets

arXiv Mar 27, 2026
Contrastive learning produces coherent semantic feature embeddings by encouraging positive samples to cluster closely while separating negative samples. However, existing contrastive learning methods lack principled guarantees on coverage within the ... read more 
Machine Learning stat.ML

GLASS: Geometry-aware Local Alignment and Structure Synchronization Network for 2D-3D Registration

arXiv Mar 27, 2026
Image-to-point cloud registration methods typically follow a coarse-to-fine pipeline, extracting patch-level correspondences and refining them into dense pixel-to-point matches. However, in scenes with repetitive patterns, images often lack sufficien... read more 
Computer Vision and Pattern Recognition cs.LG

D-GATNet: Interpretable Temporal Graph Attention Learning for ADHD Identification Using Dynamic Functional Connectivity

arXiv Mar 27, 2026
Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder whose neuroimaging-based diagnosis remains challenging due to complex time-varying disruptions in brain connectivity. Functional MRI (fMRI) provides a powerful... read more 
Machine Learning

Label-Free Cross-Task LoRA Merging with Null-Space Compression

arXiv Mar 27, 2026
Model merging combines independently fine-tuned checkpoints without joint multi-task training. In the era of foundation-model, fine-tuning with Low-Rank Adaptation (LoRA) is prevalent, making LoRA merging a promising target. Existing approaches can w... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG
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