Artificial Intelligence Medical Compendium

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

Showing 43,701 to 43,710 of 224,055 articles

Structure and Progress Aware Diffusion for Medical Image Segmentation

arXiv Mar 9, 2026
Medical image segmentation is crucial for computer-aided diagnosis, which necessitates understanding both coarse morphological and semantic structures, as well as carving fine boundaries. The morphological and semantic structures in medical images ar... read more 
Computer Vision and Pattern Recognition

Visualizing Coalition Formation: From Hedonic Games to Image Segmentation

arXiv Mar 9, 2026
We propose image segmentation as a visual diagnostic testbed for coalition formation in hedonic games. Modeling pixels as agents on a graph, we study how a granularization parameter shapes equilibrium fragmentation and boundary structure. On the Weiz... read more 
Artificial Intelligence cs.CV

MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models

arXiv Mar 9, 2026
Pathology foundation models learn morphological representations through self-supervised pretraining on large-scale whole-slide images, yet they do not explicitly capture the underlying molecular state of the tissue. Spatial transcriptomics technologi... read more 
Computer Vision and Pattern Recognition

Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image Recognition

arXiv Mar 9, 2026
Vision-Language Models (VLMs), such as CLIP, have significantly advanced zero-shot image recognition. However, their performance remains limited by suboptimal prompt engineering and poor adaptability to target classes. While recent methods attempt to... read more 
Computer Vision and Pattern Recognition

Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning

arXiv Mar 9, 2026
Unregistered hyperspectral image (HSI) super-resolution (SR) typically aims to enhance a low-resolution HSI using an unregistered high-resolution reference image. In this paper, we propose an unmixing-based fusion framework that decouples spatial-spe... read more 
Computer Vision and Pattern Recognition

Semantic Risk Scoring of Aggregated Metrics: An AI-Driven Approach for Healthcare Data Governance

arXiv Mar 9, 2026
Large healthcare institutions typically operate multiple business intelligence (BI) teams segmented by domain, including clinical performance, fundraising, operations, and compliance. Due to HIPAA, FERPA, and IRB restrictions, these teams face challe... read more 
Machine Learning cs.CY

A Hybrid Vision Transformer Approach for Mathematical Expression Recognition

arXiv Mar 9, 2026
One of the crucial challenges taken in document analysis is mathematical expression recognition. Unlike text recognition which only focuses on one-dimensional structure images, mathematical expression recognition is a much more complicated problem be... read more 
Computer Vision and Pattern Recognition

Text to Automata Diagrams: Comparing TikZ Code Generation with Direct Image Synthesis

arXiv Mar 9, 2026
Diagrams are widely used in teaching computer science courses. They are useful in subjects such as automata and formal languages, data structures, etc. These diagrams, often drawn by students during exams or assignments, vary in structure, layout, an... read more 
Computer Vision and Pattern Recognition

$L^3$:Scene-agnostic Visual Localization in the Wild

arXiv Mar 9, 2026
Standard visual localization methods typically require offline pre-processing of scenes to obtain 3D structural information for better performance. This inevitably introduces additional computational and time costs, as well as the overhead of storing... read more 
Computer Vision and Pattern Recognition

AI Agents, Language, Deep Learning and the Next Revolution in Science

arXiv Mar 9, 2026
Modern science is reaching a critical inflection point. Instruments across disciplines, from particle physics and astronomy to genomics and climate modeling, now produce data of such scale, diversity, and interdependence that traditional analytical m... read more 
High Energy Physics - Experiment cs.AI
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