Artificial Intelligence Medical Compendium

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

Showing 56,841 to 56,850 of 227,153 articles

Under-Canopy Terrain Reconstruction in Dense Forests Using RGB Imaging and Neural 3D Reconstruction

arXiv Jan 30, 2026
Mapping the terrain and understory hidden beneath dense forest canopies is of great interest for numerous applications such as search and rescue, trail mapping, forest inventory tasks, and more. Existing solutions rely on specialized sensors: either ... read more 
Computer Vision and Pattern Recognition cs.CY cs.ET cs.GR

Classification of SARS-CoV-2 Variants through The Epistatical Circos Plots with Convolutional Neural Networks

arXiv Jan 30, 2026
The COVID-19 pandemic has profoundly affected global health, driven by the remarkable transmissibility and mutational adaptability of the SARS-CoV-2 virus. Five major variants of concern, Alpha, Beta, Gamma, Delta, and Omicron, have been identified. ... read more 
Genomics

Development of Domain-Invariant Visual Enhancement and Restoration (DIVER) Approach for Underwater Images

arXiv Jan 30, 2026
Underwater images suffer severe degradation due to wavelength-dependent attenuation, scattering, and illumination non-uniformity that vary across water types and depths. We propose an unsupervised Domain-Invariant Visual Enhancement and Restoration (... read more 
Image and Video Processing cs.CV

MoVE: Mixture of Value Embeddings -- A New Axis for Scaling Parametric Memory in Autoregressive Models

arXiv Jan 30, 2026
Autoregressive sequence modeling stands as the cornerstone of modern Generative AI, powering results across diverse modalities ranging from text generation to image generation. However, a fundamental limitation of this paradigm is the rigid structura... read more 
Machine Learning cs.AI cs.CL cs.CV

DINO-SAE: DINO Spherical Autoencoder for High-Fidelity Image Reconstruction and Generation

arXiv Jan 30, 2026
Recent studies have explored using pretrained Vision Foundation Models (VFMs) such as DINO for generative autoencoders, showing strong generative performance. Unfortunately, existing approaches often suffer from limited reconstruction fidelity due to... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Q-Hawkeye: Reliable Visual Policy Optimization for Image Quality Assessment

arXiv Jan 30, 2026
Image Quality Assessment (IQA) predicts perceptual quality scores consistent with human judgments. Recent RL-based IQA methods built on MLLMs focus on generating visual quality descriptions and scores, ignoring two key reliability limitations: (i) al... read more 
Computer Vision and Pattern Recognition

Semantic Leakage from Image Embeddings

arXiv Jan 30, 2026
Image embeddings are generally assumed to pose limited privacy risk. We challenge this assumption by formalizing semantic leakage as the ability to recover semantic structures from compressed image embeddings. Surprisingly, we show that semantic leak... read more 
Computer Vision and Pattern Recognition cs.CL cs.CR

MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving

arXiv Jan 30, 2026
Trajectory planning is a core task in autonomous driving, requiring the prediction of safe and comfortable paths across diverse scenarios. Integrating Multi-modal Large Language Models (MLLMs) with Reinforcement Learning (RL) has shown promise in add... read more 
Robotics cs.AI cs.LG

Environment-Conditioned Tail Reweighting for Total Variation Invariant Risk Minimization

arXiv Jan 30, 2026
Out-of-distribution (OOD) generalization remains challenging when models simultaneously encounter correlation shifts across environments and diversity shifts driven by rare or hard samples. Existing invariant risk minimization (IRM) methods primarily... read more 
Machine Learning

Improving Supervised Machine Learning Performance in Optical Quality Control via Generative AI for Dataset Expansion

arXiv Jan 30, 2026
Supervised machine learning algorithms play a crucial role in optical quality control within industrial production. These approaches require representative datasets for effective model training. However, while non-defective components are frequent, d... read more 
Computer Vision and Pattern Recognition
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