Artificial Intelligence Medical Compendium

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

Showing 451 to 460 of 213,137 articles

Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention

arXiv Jul 21, 2026
Multimodal fusion learning (MFL) has shown great potential in the medical domain, where we are faced with disparate data modalities such as imaging, clinical records, and omics. However, existing MFL strategies face several major challenges. First, t... read more 
Computer Vision and Pattern Recognition

An unsupervised clustering analysis of breast cancer data derived from electronic health records enhanced through UMAP dimensionality reduction

arXiv Jul 21, 2026
Breast cancer is one of the most widespread types of cancer, affecting approximately 8 million women worldwide. Electronic health records of patients diagnosed with this disease can serve as valuable datasets for computational analyses, enabling the ... read more 
Machine Learning q-bio.QM

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval

arXiv Jul 21, 2026
Edit-conditioned 3D scene retrieval pairs a reference 3D room with a natural-language modification and retrieves rooms from a corpus that satisfy the edit. Three lines of prior work each fall short on this task. 2D composed image retrieval reasons ov... read more 
Computer Vision and Pattern Recognition

Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation Models

arXiv Jul 21, 2026
Geometric foundation models, such as the Visual Geometry Grounded Transformer (VGGT), provide strong 3D priors from unposed images. However, such models operate purely in a feed-forward, deterministic regime, \ie~they cannot generate plausible geomet... read more 
Computer Vision and Pattern Recognition

One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language Models

arXiv Jul 21, 2026
Vision-language models (VLMs) provide a unified representation space for textual and visual information, yet their potential as general-purpose backbones for graph-structured data remains largely unexplored. In practice, attributed graphs exhibit sub... read more 
Machine Learning

MIRAGE: Multi-scale Lesion-Informed Representation with Auxiliary Guidance for MRI Contrast Enhancement

arXiv Jul 21, 2026
Inferring contrast enhancement from one pre-contrast breast MRI slice is underdetermined: post-contrast appearance contains physiological information that is not uniquely encoded in baseline anatomy. Optimizing only paired pixel fidelity can suppress... read more 
Image and Video Processing cs.AI cs.LG

Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers

arXiv Jul 21, 2026
Text-to-image diffusion transformers (DiTs) jointly process text and image tokens, yet their internal computation during denoising remains poorly understood. We introduce a causal interpretability framework for modern large-scale DiTs that combines a... read more 
Computer Vision and Pattern Recognition

Spiking Neural Networks for fMRI-Based Visual Semantic Decoding

arXiv Jul 21, 2026
Functional magnetic resonance imaging (fMRI)-based visual decoding aims to recover visual information from measured brain activity, commonly by mapping fMRI responses into latent visual features for downstream decoding tasks. Most existing methods le... read more 
Neural and Evolutionary Computing

Anatomy-Aware 3D Mesh Refinement of Pericardium Segmentations on Computed Tomography

arXiv Jul 21, 2026
Accurate delineation of the pericardium in a cardiac CT scan is essential for quantifying epicardial adipose tissue, yet it remains one of the most challenging structures to segment due to its poor contrast boundaries. Instead of solely relying on im... read more 
Computer Vision and Pattern Recognition

IGGT4D: Streaming 4D Instance-Grounded Geometry Transformer

arXiv Jul 21, 2026
Real-world spatial intelligence requires agents to understand scenes from continuous video streams, where objects move, persist, disappear, and reappear over time. While recent spatial foundation models have enabled generalizable feed-forward 3D reco... read more 
Computer Vision and Pattern Recognition
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