Artificial Intelligence Medical Compendium

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

Showing 34,831 to 34,840 of 221,633 articles

Learning ECG Image Representations via Dual Physiological-Aware Alignments

arXiv Apr 2, 2026
Electrocardiograms (ECGs) are among the most widely used diagnostic tools for cardiovascular diseases, and a large amount of ECG data worldwide appears only in image form. However, most existing automated ECG analysis methods rely on access to raw si... read more 
Machine Learning

Universal computational thermal imaging overcoming the ghosting effect

arXiv Apr 2, 2026
Thermal imaging is crucial for night vision but fundamentally hampered by the ghosting effect, a loss of detailed texture in cluttered photon streams. While conventional ghosting mitigation has relied on data post-processing, the recent breakthrough ... read more 
Computer Vision and Pattern Recognition physics.optics

Accelerated Patient-Specific Hemodynamic Simulations with Hybrid Physics-Based Neural Surrogates

arXiv Apr 2, 2026
Physics-based 0D reduced-order models provide computationally lightweight predictions of cardiovascular flows, resolving bulk hemodynamics in fractions of a second that would take days to solve using traditional 3D finite-element techniques. However,... read more 
Computational Engineering, Finance, and Science

ZEUS: Accelerating Diffusion Models with Only Second-Order Predictor

arXiv Apr 2, 2026
Denoising generative models deliver high-fidelity generation but remain bottlenecked by inference latency due to the many iterative denoiser calls required during sampling. Training-free acceleration methods reduce latency by either sparsifying the m... read more 
Machine Learning

Cross-Domain Vessel Segmentation via Latent Similarity Mining and Iterative Co-Optimization

arXiv Apr 2, 2026
Retinal vessel segmentation serves as a critical prerequisite for automated diagnosis of retinal pathologies. While recent advances in Convolutional Neural Networks (CNNs) have demonstrated promising performance in this task, significant performance ... read more 
Computer Vision and Pattern Recognition

Harmonized Tabular-Image Fusion via Gradient-Aligned Alternating Learning

arXiv Apr 2, 2026
Multimodal tabular-image fusion is an emerging task that has received increasing attention in various domains. However, existing methods may be hindered by gradient conflicts between modalities, misleading the optimization of the unimodal learner. In... read more 
Computer Vision and Pattern Recognition cs.AI

Satellite-Free Training for Drone-View Geo-Localization

arXiv Apr 2, 2026
Drone-view geo-localization (DVGL) aims to determine the location of drones in GPS-denied environments by retrieving the corresponding geotagged satellite tile from a reference gallery given UAV observations of a location. In many existing formulatio... read more 
Computer Vision and Pattern Recognition

Satellite-Free Training for Drone-View Geo-Localization

arXiv Apr 2, 2026
Drone-view geo-localization (DVGL) aims to determine the location of drones in GPS-denied environments by retrieving the corresponding geotagged satellite tile from a reference gallery given UAV observations of a location. In many existing formulatio... read more 
Computer Vision and Pattern Recognition

Optimizing EEG Graph Structure for Seizure Detection: An Information Bottleneck and Self-Supervised Learning Approach

arXiv Apr 2, 2026
Seizure detection from EEG signals is highly challenging due to complex spatiotemporal dynamics and extreme inter-patient variability. To model them, recent methods construct dynamic graphs via statistical correlations, predefined similarity measures... read more 
Machine Learning

Towards Minimal Focal Stack in Shape from Focus

arXiv Apr 2, 2026
Shape from Focus (SFF) is a depth reconstruction technique that estimates scene structure from focus variations observed across a focal stack, that is, a sequence of images captured at different focus settings. A key limitation of SFF methods is thei... read more 
Computer Vision and Pattern Recognition
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