Artificial Intelligence Medical Compendium

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

Showing 53,491 to 53,500 of 225,548 articles

Dataset Distillation via Relative Distribution Matching and Cognitive Heritage

arXiv Feb 5, 2026
Dataset distillation seeks to synthesize a highly compact dataset that achieves performance comparable to the original dataset on downstream tasks. For the classification task that use pre-trained self-supervised models as backbones, previous linear ... read more 
Computer Vision and Pattern Recognition

Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing

arXiv Feb 5, 2026
Pathomics is a recent approach that offers rich quantitative features beyond what black-box deep learning can provide, supporting more reproducible and explainable biomarkers in digital pathology. However, many derived features (e.g., "second-order m... read more 
Computer Vision and Pattern Recognition

Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation

arXiv Feb 5, 2026
Advanced opinion dynamics modeling is vital for deciphering social behavior, emphasizing its role in mitigating polarization and securing cyberspace. To synergize mechanistic interpretability with data-driven flexibility, recent studies have explored... read more 
Artificial Intelligence cs.CY cs.SI

VMF-GOS: Geometry-guided virtual Outlier Synthesis for Long-Tailed OOD Detection

arXiv Feb 5, 2026
Out-of-Distribution (OOD) detection under long-tailed distributions is a highly challenging task because the scarcity of samples in tail classes leads to blurred decision boundaries in the feature space. Current state-of-the-art (sota) methods typica... read more 
Computer Vision and Pattern Recognition

Disco: Densely-overlapping Cell Instance Segmentation via Adjacency-aware Collaborative Coloring

arXiv Feb 5, 2026
Accurate cell instance segmentation is foundational for digital pathology analysis. Existing methods based on contour detection and distance mapping still face significant challenges in processing complex and dense cellular regions. Graph coloring-ba... read more 
Computer Vision and Pattern Recognition cs.AI

NeVStereo: A NeRF-Driven NVS-Stereo Architecture for High-Fidelity 3D Tasks

arXiv Feb 5, 2026
In modern dense 3D reconstruction, feed-forward systems (e.g., VGGT, pi3) focus on end-to-end matching and geometry prediction but do not explicitly output the novel view synthesis (NVS). Neural rendering-based approaches offer high-fidelity NVS and ... read more 
Computer Vision and Pattern Recognition cs.GR

Multi-AD: Cross-Domain Unsupervised Anomaly Detection for Medical and Industrial Applications

arXiv Feb 5, 2026
Traditional deep learning models often lack annotated data, especially in cross-domain applications such as anomaly detection, which is critical for early disease diagnosis in medicine and defect detection in industry. To address this challenge, we p... read more 
Computer Vision and Pattern Recognition

LD-SLRO: Latent Diffusion Structured Light for 3-D Reconstruction of Highly Reflective Objects

arXiv Feb 5, 2026
Fringe projection profilometry-based 3-D reconstruction of objects with high reflectivity and low surface roughness remains a significant challenge. When measuring such glossy surfaces, specular reflection and indirect illumination often lead to seve... read more 
Computer Vision and Pattern Recognition

Stable Velocity: A Variance Perspective on Flow Matching

arXiv Feb 5, 2026
While flow matching is elegant, its reliance on single-sample conditional velocities leads to high-variance training targets that destabilize optimization and slow convergence. By explicitly characterizing this variance, we identify 1) a high-varianc... read more 
Computer Vision and Pattern Recognition

DisCa: Accelerating Video Diffusion Transformers with Distillation-Compatible Learnable Feature Caching

arXiv Feb 5, 2026
While diffusion models have achieved great success in the field of video generation, this progress is accompanied by a rapidly escalating computational burden. Among the existing acceleration methods, Feature Caching is popular due to its training-fr... read more 
Computer Vision and Pattern Recognition cs.AI
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