Artificial Intelligence Medical Compendium

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

Showing 52,461 to 52,470 of 225,341 articles

Thegra: Graph-based SLAM for Thermal Imagery

arXiv Feb 9, 2026
Thermal imaging provides a practical sensing modality for visual SLAM in visually degraded environments such as low illumination, smoke, or adverse weather. However, thermal imagery often exhibits low texture, low contrast, and high noise, complicati... read more 
Computer Vision and Pattern Recognition

Trajectory Stitching for Solving Inverse Problems with Flow-Based Models

arXiv Feb 9, 2026
Flow-based generative models have emerged as powerful priors for solving inverse problems. One option is to directly optimize the initial latent code (noise), such that the flow output solves the inverse problem. However, this requires backpropagatin... read more 
Image and Video Processing cs.LG

GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing

arXiv Feb 9, 2026
Human perception for effective object tracking in a 2D video stream arises from the implicit use of prior 3D knowledge combined with semantic reasoning. In contrast, most generic object tracking (GOT) methods primarily rely on 2D features of the targ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.MM eess.IV

retinalysis-vascx: An explainable software toolbox for the extraction of retinal vascular biomarkers

arXiv Feb 9, 2026
The automatic extraction of retinal vascular biomarkers from color fundus images (CFI) is essential for large-scale studies of the retinal vasculature. We present VascX, an open-source Python toolbox designed for the automated extraction of biomarker... read more 
Tissues and Organs cs.CV

SemiNFT: Learning to Transfer Presets from Imitation to Appreciation via Hybrid-Sample Reinforcement Learning

arXiv Feb 9, 2026
Photorealistic color retouching plays a vital role in visual content creation, yet manual retouching remains inaccessible to non-experts due to its reliance on specialized expertise. Reference-based methods offer a promising alternative by transferri... read more 
Computer Vision and Pattern Recognition

Inspiration Seeds: Learning Non-Literal Visual Combinations for Generative Exploration

arXiv Feb 9, 2026
While generative models have become powerful tools for image synthesis, they are typically optimized for executing carefully crafted textual prompts, offering limited support for the open-ended visual exploration that often precedes idea formation. I... read more 
Computer Vision and Pattern Recognition

ERIS: Enhancing Privacy and Communication Efficiency in Serverless Federated Learning

arXiv Feb 9, 2026
Scaling federated learning (FL) to billion-parameter models introduces critical trade-offs between communication efficiency, model accuracy, and privacy guarantees. Existing solutions often tackle these challenges in isolation, sacrificing accuracy o... read more 
Machine Learning

Improving Reconstruction of Representation Autoencoder

arXiv Feb 9, 2026
Recent work leverages Vision Foundation Models as image encoders to boost the generative performance of latent diffusion models (LDMs), as their semantic feature distributions are easy to learn. However, such semantic features often lack low-level in... read more 
Computer Vision and Pattern Recognition

Deep Learning-Based Fixation Type Prediction for Quality Assurance in Digital Pathology

arXiv Feb 9, 2026
Accurate annotation of fixation type is a critical step in slide preparation for pathology laboratories. However, this manual process is prone to errors, impacting downstream analyses and diagnostic accuracy. Existing methods for verifying formalin... read more 
Computer Vision and Pattern Recognition

From Robotics to Sepsis Treatment: Offline RL via Geometric Pessimism

arXiv Feb 9, 2026
Offline Reinforcement Learning (RL) promises the recovery of optimal policies from static datasets, yet it remains susceptible to the overestimation of out-of-distribution (OOD) actions, particularly in fractured and sparse data manifolds.Current sol... read more 
Machine Learning
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