Artificial Intelligence Medical Compendium

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

Showing 44,681 to 44,690 of 224,055 articles

Generic Camera Calibration using Blurry Images

arXiv Mar 5, 2026
Camera calibration is the foundation of 3D vision. Generic camera calibration can yield more accurate results than parametric cam era calibration. However, calibrating a generic camera model using printed calibration boards requires far more images t... read more 
Computer Vision and Pattern Recognition eess.IV

Mario: Multimodal Graph Reasoning with Large Language Models

arXiv Mar 5, 2026
Recent advances in large language models (LLMs) have opened new avenues for multimodal reasoning. Yet, most existing methods still rely on pretrained vision-language models (VLMs) to encode image-text pairs in isolation, ignoring the relational struc... read more 
Computer Vision and Pattern Recognition

Logi-PAR: Logic-Infused Patient Activity Recognition via Differentiable Rule

arXiv Mar 5, 2026
Patient Activity Recognition (PAR) in clinical settings uses activity data to improve safety and quality of care. Although significant progress has been made, current models mainly identify which activity is occurring. They often spatially compose su... read more 
Computer Vision and Pattern Recognition cs.AI

Semantic Class Distribution Learning for Debiasing Semi-Supervised Medical Image Segmentation

arXiv Mar 5, 2026
Medical image segmentation is critical for computer-aided diagnosis. However, dense pixel-level annotation is time-consuming and expensive, and medical datasets often exhibit severe class imbalance. Such imbalance causes minority structures to be ove... read more 
Computer Vision and Pattern Recognition

Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning

arXiv Mar 5, 2026
Early warning of intraoperative adverse events plays a vital role in reducing surgical risk and improving patient safety. While deep learning has shown promise in predicting the single adverse event, several key challenges remain: overlooking adverse... read more 
Machine Learning cs.AI

SPyCer: Semi-Supervised Physics-Guided Contextual Attention for Near-Surface Air Temperature Estimation from Satellite Imagery

arXiv Mar 5, 2026
Modern Earth observation relies on satellites to capture detailed surface properties. Yet, many phenomena that affect humans and ecosystems unfold in the atmosphere close to the surface. Near-ground sensors provide accurate measurements of certain en... read more 
Computer Vision and Pattern Recognition cs.AI

Learning Optimal Individualized Decision Rules with Conditional Demographic Parity

arXiv Mar 5, 2026
Individualized decision rules (IDRs) have become increasingly prevalent in societal applications such as personalized marketing, healthcare, and public policy design. However, a critical ethical concern arises from the potential discriminatory effect... read more 
Machine Learning cs.LG

ICHOR: A Robust Representation Learning Approach for ASL CBF Maps with Self-Supervised Masked Autoencoders

arXiv Mar 5, 2026
Arterial spin labeling (ASL) perfusion MRI allows direct quantification of regional cerebral blood flow (CBF) without exogenous contrast, enabling noninvasive measurements that can be repeated without constraints imposed by contrast injection. ASL is... read more 
Image and Video Processing cs.CV physics.med-ph

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum

arXiv Mar 5, 2026
Knowledge-Based Visual Question Answering (KB-VQA) requires models to answer questions about an image by integrating external knowledge, posing significant challenges due to noisy retrieval and the structured, encyclopedic nature of the knowledge bas... read more 
Computer Vision and Pattern Recognition

Whispering to a Blackbox: Bootstrapping Frozen OCR with Visual Prompts

arXiv Mar 5, 2026
In the landscape of modern machine learning, frozen pre-trained models provide stability and efficiency but often underperform on specific tasks due to mismatched data distributions. This paper introduces the Whisperer, a novel visual prompting frame... read more 
Machine Learning cs.AI
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