Artificial Intelligence Medical Compendium

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

Showing 60,111 to 60,120 of 228,072 articles

SolARED: Solar Active Region Emergence Dataset for Machine Learning Aided Predictions

arXiv Jan 19, 2026
The development of accurate forecasts of solar eruptive activity has become increasingly important for preventing potential impacts on space technologies and exploration. Therefore, it is crucial to detect Active Regions (ARs) before they start formi... read more 
Solar and Stellar Astrophysics cs.LG

From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and models

arXiv Jan 19, 2026
Developing Foundation Models for medical image analysis is essential to overcome the unique challenges of radiological tasks. The first challenges of this kind for 3D brain MRI, SSL3D and FOMO25, were held at MICCAI 2025. Our solution ranked first in... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Diffusion-Driven Synthetic Tabular Data Generation for Enhanced DoS/DDoS Attack Classification

arXiv Jan 19, 2026
Class imbalance refers to a situation where certain classes in a dataset have significantly fewer samples than oth- ers, leading to biased model performance. Class imbalance in network intrusion detection using Tabular Denoising Diffusion Probability... read more 
Cryptography and Security cs.AI cs.LG

GTPred: Benchmarking MLLMs for Interpretable Geo-localization and Time-of-capture Prediction

arXiv Jan 19, 2026
Geo-localization aims to infer the geographic location where an image was captured using observable visual evidence. Traditional methods achieve impressive results through large-scale training on massive image corpora. With the emergence of multi-mod... read more 
Computer Vision and Pattern Recognition

Rethinking Skip Connections: Additive U-Net for Robust and Interpretable Denoising

arXiv Jan 19, 2026
Skip connections are central to U-Net architectures for image denoising, but standard concatenation doubles channel dimensionality and obscures information flow, allowing uncontrolled noise transfer. We propose the Additive U-Net, which replaces conc... read more 
Computer Vision and Pattern Recognition

ConvMambaNet: A Hybrid CNN-Mamba State Space Architecture for Accurate and Real-Time EEG Seizure Detection

arXiv Jan 19, 2026
Epilepsy is a chronic neurological disorder marked by recurrent seizures that can severely impact quality of life. Electroencephalography (EEG) remains the primary tool for monitoring neural activity and detecting seizures, yet automated analysis rem... read more 
Computer Vision and Pattern Recognition

A Semantic Decoupling-Based Two-Stage Rainy-Day Attack for Revealing Weather Robustness Deficiencies in Vision-Language Models

arXiv Jan 19, 2026
Vision-Language Models (VLMs) are trained on image-text pairs collected under canonical visual conditions and achieve strong performance on multimodal tasks. However, their robustness to real-world weather conditions, and the stability of cross-modal... read more 
Computer Vision and Pattern Recognition cs.AI

MultiST: A Cross-Attention-Based Multimodal Model for Spatial Transcriptomic

arXiv Jan 19, 2026
Spatial transcriptomics (ST) enables transcriptome-wide profiling while preserving the spatial context of tissues, offering unprecedented opportunities to study tissue organization and cell-cell interactions in situ. Despite recent advances, existing... read more 
Computer Vision and Pattern Recognition cs.LG

Beyond Mapping : Domain-Invariant Representations via Spectral Embedding of Optimal Transport Plans

arXiv Jan 19, 2026
Distributional shifts between training and inference time data remain a central challenge in machine learning, often leading to poor performance. It motivated the study of principled approaches for domain alignment, such as optimal transport based un... read more 
Machine Learning

Practical Insights into Semi-Supervised Object Detection Approaches

arXiv Jan 19, 2026
Learning in data-scarce settings has recently gained significant attention in the research community. Semi-supervised object detection(SSOD) aims to improve detection performance by leveraging a large number of unlabeled images alongside a limited nu... read more 
Computer Vision and Pattern Recognition
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