Artificial Intelligence Medical Compendium

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

Showing 52,451 to 52,460 of 225,341 articles

D$^2$-VR: Degradation-Robust and Distilled Video Restoration with Synergistic Optimization Strategy

arXiv Feb 9, 2026
The integration of diffusion priors with temporal alignment has emerged as a transformative paradigm for video restoration, delivering fantastic perceptual quality, yet the practical deployment of such frameworks is severely constrained by prohibitiv... read more 
Computer Vision and Pattern Recognition

RealSynCol: a high-fidelity synthetic colon dataset for 3D reconstruction applications

arXiv Feb 9, 2026
Deep learning has the potential to improve colonoscopy by enabling 3D reconstruction of the colon, providing a comprehensive view of mucosal surfaces and lesions, and facilitating the identification of unexplored areas. However, the development of ro... read more 
Computer Vision and Pattern Recognition

Understanding and Optimizing Attention-Based Sparse Matching for Diverse Local Features

arXiv Feb 9, 2026
We revisit the problem of training attention-based sparse image matching models for various local features. We first identify one critical design choice that has been previously overlooked, which significantly impacts the performance of the LightGlue... read more 
Computer Vision and Pattern Recognition

Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization

arXiv Feb 9, 2026
Multivariate time series (MTS) anomaly diagnosis, which encompasses both anomaly detection and localization, is critical for the safety and reliability of complex, large-scale real-world systems. The vast majority of existing anomaly diagnosis method... read more 
Machine Learning stat.ML

Learning Credal Ensembles via Distributionally Robust Optimization

arXiv Feb 9, 2026
Credal predictors are models that are aware of epistemic uncertainty and produce a convex set of probabilistic predictions. They offer a principled way to quantify predictive epistemic uncertainty (EU) and have been shown to improve model robustness ... read more 
Machine Learning stat.ML

Understanding Image2Video Domain Shift in Food Segmentation: An Instance-level Analysis on Apples

arXiv Feb 9, 2026
Food segmentation models trained on static images have achieved strong performance on benchmark datasets; however, their reliability in video settings remains poorly understood. In real-world applications such as food monitoring and instance counting... read more 
Computer Vision and Pattern Recognition cs.LG

Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?

arXiv Feb 9, 2026
Although vision foundation models (VFMs) are increasingly reused for biomedical image analysis, it remains unclear whether the latent representations they provide are general enough to support effective transfer and reuse across heterogeneous microsc... read more 
Computer Vision and Pattern Recognition

Estimation of Fish Catch Using Sentinel-2, 3 and XGBoost-Kernel-Based Kernel Ridge Regression

arXiv Feb 9, 2026
Oceanographic factors, such as sea surface temperature and upper-ocean dynamics, have a significant impact on fish distribution. Maintaining fisheries that contribute to global food security requires quantifying these connections. This study uses mul... read more 
Applied Physics cs.LG

Automatic regularization parameter choice for tomography using a double model approach

arXiv Feb 9, 2026
Image reconstruction in X-ray tomography is an ill-posed inverse problem, particularly with limited available data. Regularization is thus essential, but its effectiveness hinges on the choice of a regularization parameter that balances data fidelity... read more 
Computer Vision and Pattern Recognition math.OC

Automatic regularization parameter choice for tomography using a double model approach

arXiv Feb 9, 2026
Image reconstruction in X-ray tomography is an ill-posed inverse problem, particularly with limited available data. Regularization is thus essential, but its effectiveness hinges on the choice of a regularization parameter that balances data fidelity... read more 
Computer Vision and Pattern Recognition math.OC
Popular Topics
Recent Journals