Artificial Intelligence Medical Compendium

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

Showing 52,441 to 52,450 of 225,341 articles

A Unified Framework for Multimodal Image Reconstruction and Synthesis using Denoising Diffusion Models

arXiv Feb 9, 2026
Image reconstruction and image synthesis are important for handling incomplete multimodal imaging data, but existing methods require various task-specific models, complicating training and deployment workflows. We introduce Any2all, a unified framewo... read more 
Image and Video Processing cs.CV

Moving Beyond Functional Connectivity: Time-Series Modeling for fMRI-Based Brain Disorder Classification

arXiv Feb 9, 2026
Functional magnetic resonance imaging (fMRI) enables non-invasive brain disorder classification by capturing blood-oxygen-level-dependent (BOLD) signals. However, most existing methods rely on functional connectivity (FC) via Pearson correlation, whi... read more 
Computer Vision and Pattern Recognition

Inverting Data Transformations via Diffusion Sampling

arXiv Feb 9, 2026
We study the problem of transformation inversion on general Lie groups: a datum is transformed by an unknown group element, and the goal is to recover an inverse transformation that maps it back to the original data distribution. Such unknown transfo... read more 
Machine Learning cs.AI

CAE-AV: Improving Audio-Visual Learning via Cross-modal Interactive Enrichment

arXiv Feb 9, 2026
Audio-visual learning suffers from modality misalignment caused by off-screen sources and background clutter, and current methods usually amplify irrelevant regions or moments, leading to unstable training and degraded representation quality. To addr... read more 
Computer Vision and Pattern Recognition

Fast Flow Matching based Conditional Independence Tests for Causal Discovery

arXiv Feb 9, 2026
Constraint-based causal discovery methods require a large number of conditional independence (CI) tests, which severely limits their practical applicability due to high computational complexity. Therefore, it is crucial to design an algorithm that ac... read more 
Machine Learning stat.ML

UReason: Benchmarking the Reasoning Paradox in Unified Multimodal Models

arXiv Feb 9, 2026
To elicit capabilities for addressing complex and implicit visual requirements, recent unified multimodal models increasingly adopt chain-of-thought reasoning to guide image generation. However, the actual effect of reasoning on visual synthesis rema... read more 
Computation and Language cs.CV

CoTZero: Annotation-Free Human-Like Vision Reasoning via Hierarchical Synthetic CoT

arXiv Feb 9, 2026
Recent advances in vision-language models (VLMs) have markedly improved image-text alignment, yet they still fall short of human-like visual reasoning. A key limitation is that many VLMs rely on surface correlations rather than building logically coh... read more 
Artificial Intelligence cs.CV

UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Science

arXiv Feb 9, 2026
Learning transferable multimodal embeddings for urban environments is challenging because urban understanding is inherently spatial, yet existing datasets and benchmarks lack explicit alignment between street-view images and urban structure. We intro... read more 
Computer Vision and Pattern Recognition cs.AI

What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning

arXiv Feb 9, 2026
The rapid advancement of Large Vision Language Models (LVLMs) has demonstrated excellent abilities in various visual tasks. Building upon these developments, the thinking with images paradigm has emerged, enabling models to dynamically edit and re-en... read more 
Computer Vision and Pattern Recognition

Geometric Image Editing via Effects-Sensitive In-Context Inpainting with Diffusion Transformers

arXiv Feb 9, 2026
Recent advances in diffusion models have significantly improved image editing. However, challenges persist in handling geometric transformations, such as translation, rotation, and scaling, particularly in complex scenes. Existing approaches suffer f... read more 
Computer Vision and Pattern Recognition
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