Artificial Intelligence Medical Compendium

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

Showing 53,611 to 53,620 of 225,548 articles

SALAD-Pan: Sensor-Agnostic Latent Adaptive Diffusion for Pan-Sharpening

arXiv Feb 4, 2026
Recently, diffusion models bring novel insights for Pan-sharpening and notably boost fusion precision. However, most existing models perform diffusion in the pixel space and train distinct models for different multispectral (MS) imagery, suffering fr... read more 
Computer Vision and Pattern Recognition

Bayesian PINNs for uncertainty-aware inverse problems (BPINN-IP)

arXiv Feb 4, 2026
The main contribution of this paper is to develop a hierarchical Bayesian formulation of PINNs for linear inverse problems, which is called BPINN-IP. The proposed methodology extends PINN to account for prior knowledge on the nature of the expected N... read more 
Machine Learning cs.LG

Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare

arXiv Feb 4, 2026
Federated learning (FL) enables collaborative model training across decentralized medical institutions while preserving data privacy. However, medical FL benchmarks remain scarce, with existing efforts focusing mainly on unimodal or bimodal modalitie... read more 
Computer Vision and Pattern Recognition cs.AI

LCUDiff: Latent Capacity Upgrade Diffusion for Faithful Human Body Restoration

arXiv Feb 4, 2026
Existing methods for restoring degraded human-centric images often struggle with insufficient fidelity, particularly in human body restoration (HBR). Recent diffusion-based restoration methods commonly adapt pre-trained text-to-image diffusion models... read more 
Computer Vision and Pattern Recognition

Interactive Spatial-Frequency Fusion Mamba for Multi-Modal Image Fusion

arXiv Feb 4, 2026
Multi-Modal Image Fusion (MMIF) aims to combine images from different modalities to produce fused images, retaining texture details and preserving significant information. Recently, some MMIF methods incorporate frequency domain information to enhanc... read more 
Computer Vision and Pattern Recognition cs.MM

Quantile Transfer for Reliable Operating Point Selection in Visual Place Recognition

arXiv Feb 4, 2026
Visual Place Recognition (VPR) is a key component for localisation in GNSS-denied environments, but its performance critically depends on selecting an image matching threshold (operating point) that balances precision and recall. Thresholds are typic... read more 
Robotics cs.CV

Enabling Real-Time Colonoscopic Polyp Segmentation on Commodity CPUs via Ultra-Lightweight Architecture

arXiv Feb 4, 2026
Early detection of colorectal cancer hinges on real-time, accurate polyp identification and resection. Yet current high-precision segmentation models rely on GPUs, making them impractical to deploy in primary hospitals, mobile endoscopy units, or cap... read more 
Computer Vision and Pattern Recognition cs.AI

Reducing the labeling burden in time-series mapping using Common Ground: a semi-automated approach to tracking changes in land cover and species over time

arXiv Feb 4, 2026
Reliable classification of Earth Observation data depends on consistent, up-to-date reference labels. However, collecting new labelled data at each time step remains expensive and logistically difficult, especially in dynamic or remote ecological sys... read more 
Machine Learning

SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration

arXiv Feb 4, 2026
Visual AutoRegressive (VAR) modeling has garnered significant attention for its innovative next-scale prediction paradigm. However, mainstream VAR paradigms attend to all tokens across historical scales at each autoregressive step. As the next scale ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

When and Where to Attack? Stage-wise Attention-Guided Adversarial Attack on Large Vision Language Models

arXiv Feb 4, 2026
Adversarial attacks against Large Vision-Language Models (LVLMs) are crucial for exposing safety vulnerabilities in modern multimodal systems. Recent attacks based on input transformations, such as random cropping, suggest that spatially localized pe... read more 
Computer Vision and Pattern Recognition
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