Artificial Intelligence Medical Compendium

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

Showing 54,171 to 54,180 of 225,930 articles

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

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

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

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

S-MUSt3R: Sliding Multi-view 3D Reconstruction

arXiv Feb 4, 2026
The recent paradigm shift in 3D vision led to the rise of foundation models with remarkable capabilities in 3D perception from uncalibrated images. However, extending these models to large-scale RGB stream 3D reconstruction remains challenging due to... read more 
Computer Vision and Pattern Recognition cs.RO

OmniRad: A Radiological Foundation Model for Multi-Task Medical Image Analysis

arXiv Feb 4, 2026
Radiological analysis increasingly benefits from pretrained visual representations that can support heterogeneous downstream tasks across imaging modalities. In this work, we introduce OmniRad, a self-supervised radiological foundation model pretrain... read more 
Computer Vision and Pattern Recognition cs.AI

Understanding Degradation with Vision Language Model

arXiv Feb 4, 2026
Understanding visual degradations is a critical yet challenging problem in computer vision. While recent Vision-Language Models (VLMs) excel at qualitative description, they often fall short in understanding the parametric physics underlying image de... read more 
Computer Vision and Pattern Recognition

Probabilistic Label Spreading: Efficient and Consistent Estimation of Soft Labels with Epistemic Uncertainty on Graphs

arXiv Feb 4, 2026
Safe artificial intelligence for perception tasks remains a major challenge, partly due to the lack of data with high-quality labels. Annotations themselves are subject to aleatoric and epistemic uncertainty, which is typically ignored during annotat... read more 
Machine Learning

ImmuVis: Hyperconvolutional Foundation Model for Imaging Mass Cytometry

arXiv Feb 4, 2026
We present ImmuVis, an efficient convolutional foundation model for imaging mass cytometry (IMC), a high-throughput multiplex imaging technology that handles molecular marker measurements as image channels and enables large-scale spatial tissue profi... read more 
Computer Vision and Pattern Recognition

A labeled dataset of simulated phlebotomy procedures for medical AI: polygon annotations for object detection and human-object interaction

arXiv Feb 4, 2026
This data article presents a dataset of 11,884 labeled images documenting a simulated blood extraction (phlebotomy) procedure performed on a training arm. Images were extracted from high-definition videos recorded under controlled conditions and cura... read more 
Computer Vision and Pattern Recognition
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