Artificial Intelligence Medical Compendium

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

Showing 35,241 to 35,250 of 222,841 articles

Selective Aggregation of Attention Maps Improves Diffusion-Based Visual Interpretation

arXiv Apr 7, 2026
Numerous studies on text-to-image (T2I) generative models have utilized cross-attention maps to boost application performance and interpret model behavior. However, the distinct characteristics of attention maps from different attention heads remain ... read more 
Computer Vision and Pattern Recognition cs.AI

Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction

arXiv Apr 7, 2026
Metal artifacts from high-attenuation implants severely degrade CT image quality, obscuring critical anatomical structures and posing a challenge for standard deep learning methods that require extensive paired training data. We propose a paradigm sh... read more 
Computer Vision and Pattern Recognition eess.IV

A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis

arXiv Apr 7, 2026
Scanning Electron Microscopy (SEM) is indispensable in modern materials science, enabling high-resolution imaging across a wide range of structural, chemical, and functional investigations. However, SEM imaging remains constrained by task-specific mo... read more 
Machine Learning

HumANDiff: Articulated Noise Diffusion for Motion-Consistent Human Video Generation

arXiv Apr 7, 2026
Despite tremendous recent progress in human video generation, generative video diffusion models still struggle to capture the dynamics and physics of human motions faithfully. In this paper, we propose a new framework for human video generation, HumA... read more 
Computer Vision and Pattern Recognition

Is CLIP Cross-Eyed? Revealing and Mitigating Center Bias in the CLIP Family

arXiv Apr 7, 2026
Recent research has shown that contrastive vision-language models such as CLIP often lack fine-grained understanding of visual content. While a growing body of work has sought to address this limitation, we identify a distinct failure mode in the CLI... read more 
Computer Vision and Pattern Recognition cs.CL

Toward Aristotelian Medical Representations: Backpropagation-Free Layer-wise Analysis for Interpretable Generalized Metric Learning on MedMNIST

arXiv Apr 7, 2026
While deep learning has achieved remarkable success in medical imaging, the "black-box" nature of backpropagation-based models remains a significant barrier to clinical adoption. To bridge this gap, we propose Aristotelian Rapid Object Modeling (A-RO... read more 
Computer Vision and Pattern Recognition

Graph-PiT: Enhancing Structural Coherence in Part-Based Image Synthesis via Graph Priors

arXiv Apr 7, 2026
Achieving fine-grained and structurally sound controllability is a cornerstone of advanced visual generation. Existing part-based frameworks treat user-provided parts as an unordered set and therefore ignore their intrinsic spatial and semantic relat... read more 
Computer Vision and Pattern Recognition cs.AI cs.MM

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning

arXiv Apr 7, 2026
Graphics Program Synthesis is pivotal for interpreting and editing visual data, effectively facilitating the reverse-engineering of static visuals into editable TikZ code. While TikZ is the de facto standard for scientific schematics due to its progr... read more 
Computer Vision and Pattern Recognition cs.AI

Extending ZACH-ViT to Robust Medical Imaging: Corruption and Adversarial Stress Testing in Low-Data Regimes

arXiv Apr 7, 2026
The recently introduced ZACH-ViT (Zero-token Adaptive Compact Hierarchical Vision Transformer) formalized a compact permutation-invariant Vision Transformer for medical imaging and argued that architectural alignment with spatial structure can matter... read more 
Computer Vision and Pattern Recognition

SEM-ROVER: Semantic Voxel-Guided Diffusion for Large-Scale Driving Scene Generation

arXiv Apr 7, 2026
Scalable generation of outdoor driving scenes requires 3D representations that remain consistent across multiple viewpoints and scale to large areas. Existing solutions either rely on image or video generative models distilled to 3D space, harming th... read more 
Computer Vision and Pattern Recognition
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