Artificial Intelligence Medical Compendium

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

Showing 46,671 to 46,680 of 224,199 articles

Automated Dose-Based Anatomic Region Classification of Radiotherapy Treatment for Big Data Applications

arXiv Feb 26, 2026
Curation is a significant barrier to using 'big data' radiotherapy planning databases of 100,000+ patients. Anatomic site stratification is essential for downstream analyses, but current methods rely on inconsistent plan labels or target nomenclature... read more 
Medical Physics cs.CV

Synthetic Visual Genome 2: Extracting Large-scale Spatio-Temporal Scene Graphs from Videos

arXiv Feb 26, 2026
We introduce Synthetic Visual Genome 2 (SVG2), a large-scale panoptic video scene graph dataset. SVG2 contains over 636K videos with 6.6M objects, 52.0M attributes, and 6.7M relations, providing an order-of-magnitude increase in scale and diversity o... read more 
Computer Vision and Pattern Recognition

Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis

arXiv Feb 26, 2026
We propose a Hierarchical Multi-scale Knowledge-aware Graph Network (HMKGN) that models multi-scale interactions and spatially hierarchical relationships within whole-slide images (WSIs) for cancer prognostication. Unlike conventional attention-based... read more 
Image and Video Processing cs.AI cs.CV

Space Syntax-guided Post-training for Residential Floor Plan Generation

arXiv Feb 26, 2026
Pre-trained generative models for residential floor plans are typically optimized to fit large-scale data distributions, which can under-emphasize critical architectural priors such as the configurational dominance and connectivity of domestic public... read more 
Machine Learning cs.CV

Pix2Key: Controllable Open-Vocabulary Retrieval with Semantic Decomposition and Self-Supervised Visual Dictionary Learning

arXiv Feb 26, 2026
Composed Image Retrieval (CIR) uses a reference image plus a natural-language edit to retrieve images that apply the requested change while preserving other relevant visual content. Classic fusion pipelines typically rely on supervised triplets and c... read more 
Computer Vision and Pattern Recognition

HARU-Net: Hybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography

arXiv Feb 26, 2026
Cone-beam computed tomography (CBCT) is widely used in dental and maxillofacial imaging, but low-dose acquisition introduces strong, spatially varying noise that degrades soft-tissue visibility and obscures fine anatomical structures. Classical denoi... read more 
Image and Video Processing cs.AI cs.CV cs.LG eess.SP

DisQ-HNet: A Disentangled Quantized Half-UNet for Interpretable Multimodal Image Synthesis Applications to Tau-PET Synthesis from T1 and FLAIR MRI

arXiv Feb 26, 2026
Tau positron emission tomography (tau-PET) provides an in vivo marker of Alzheimer's disease pathology, but cost and limited availability motivate MRI-based alternatives. We introduce DisQ-HNet (DQH), a framework that synthesizes tau-PET from paired ... read more 
Computer Vision and Pattern Recognition cs.AI

A Fast and Practical Column Generation Approach for Identifying Carcinogenic Multi-Hit Gene Combinations

arXiv Feb 26, 2026
Cancer is often driven by specific combinations of an estimated two to nine gene mutations, known as multi-hit combinations. Identifying these combinations is critical for understanding carcinogenesis and designing targeted therapies. We formalise th... read more 
Optimization and Control cs.LG

Autoregressive Visual Decoding from EEG Signals

arXiv Feb 26, 2026
Electroencephalogram (EEG) signals have become a popular medium for decoding visual information due to their cost-effectiveness and high temporal resolution. However, current approaches face significant challenges in bridging the modality gap between... read more 
Machine Learning cs.AI

Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation

arXiv Feb 26, 2026
Classifier-free guidance (CFG) has helped diffusion models achieve great conditional generation in various fields. Recently, more diffusion guidance methods have emerged with improved generation quality and human preference. However, can these emergi... read more 
Computer Vision and Pattern Recognition cs.AI
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