Artificial Intelligence Medical Compendium

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

Showing 47,711 to 47,720 of 224,199 articles

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation

arXiv Feb 23, 2026
Foundation models are transforming Earth Observation (EO), yet the diversity of EO sensors and modalities makes a single universal model unrealistic. Multiple specialized EO foundation models (EOFMs) will likely coexist, making efficient knowledge tr... read more 
Computer Vision and Pattern Recognition

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation

arXiv Feb 23, 2026
Foundation models are transforming Earth Observation (EO), yet the diversity of EO sensors and modalities makes a single universal model unrealistic. Multiple specialized EO foundation models (EOFMs) will likely coexist, making efficient knowledge tr... read more 
Computer Vision and Pattern Recognition

ApET: Approximation-Error Guided Token Compression for Efficient VLMs

arXiv Feb 23, 2026
Recent Vision-Language Models (VLMs) have demonstrated remarkable multimodal understanding capabilities, yet the redundant visual tokens incur prohibitive computational overhead and degrade inference efficiency. Prior studies typically relies on [CLS... read more 
Computer Vision and Pattern Recognition

BigMaQ: A Big Macaque Motion and Animation Dataset Bridging Image and 3D Pose Representations

arXiv Feb 23, 2026
The recognition of dynamic and social behavior in animals is fundamental for advancing ethology, ecology, medicine and neuroscience. Recent progress in deep learning has enabled automated behavior recognition from video, yet an accurate reconstructio... read more 
Computer Vision and Pattern Recognition

Make Some Noise: Unsupervised Remote Sensing Change Detection Using Latent Space Perturbations

arXiv Feb 23, 2026
Unsupervised change detection (UCD) in remote sensing aims to localise semantic changes between two images of the same region without relying on labelled data during training. Most recent approaches rely either on frozen foundation models in a traini... read more 
Computer Vision and Pattern Recognition cs.AI

Using Unsupervised Domain Adaptation Semantic Segmentation for Pulmonary Embolism Detection in Computed Tomography Pulmonary Angiogram (CTPA) Images

arXiv Feb 23, 2026
While deep learning has demonstrated considerable promise in computer-aided diagnosis for pulmonary embolism (PE), practical deployment in Computed Tomography Pulmonary Angiography (CTPA) is often hindered by "domain shift" and the prohibitive cost o... read more 
Image and Video Processing cs.CV

Gradient based Severity Labeling for Biomarker Classification in OCT

arXiv Feb 23, 2026
In this paper, we propose a novel selection strategy for contrastive learning for medical images. On natural images, contrastive learning uses augmentations to select positive and negative pairs for the contrastive loss. However, in the medical domai... read more 
Computer Vision and Pattern Recognition cs.LG

Fully Convolutional Spatiotemporal Learning for Microstructure Evolution Prediction

arXiv Feb 23, 2026
Understanding and predicting microstructure evolution is fundamental to materials science, as it governs the resulting properties and performance of materials. Traditional simulation methods, such as phase-field models, offer high-fidelity results bu... read more 
Machine Learning

Expanding the Role of Diffusion Models for Robust Classifier Training

arXiv Feb 23, 2026
Incorporating diffusion-generated synthetic data into adversarial training (AT) has been shown to substantially improve the training of robust image classifiers. In this work, we extend the role of diffusion models beyond merely generating synthetic ... read more 
Machine Learning cs.CV

Learning Positive-Incentive Point Sampling in Neural Implicit Fields for Object Pose Estimation

arXiv Feb 23, 2026
Learning neural implicit fields of 3D shapes is a rapidly emerging field that enables shape representation at arbitrary resolutions. Due to the flexibility, neural implicit fields have succeeded in many research areas, including shape reconstruction,... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals