Artificial Intelligence Medical Compendium

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

Showing 52,001 to 52,010 of 225,279 articles

MieDB-100k: A Comprehensive Dataset for Medical Image Editing

arXiv Feb 10, 2026
The scarcity of high-quality data remains a primary bottleneck in adapting multimodal generative models for medical image editing. Existing medical image editing datasets often suffer from limited diversity, neglect of medical image understanding and... read more 
Computer Vision and Pattern Recognition cs.AI

Why the Counterintuitive Phenomenon of Likelihood Rarely Appears in Tabular Anomaly Detection with Deep Generative Models?

arXiv Feb 10, 2026
Deep generative models with tractable and analytically computable likelihoods, exemplified by normalizing flows, offer an effective basis for anomaly detection through likelihood-based scoring. We demonstrate that, unlike in the image domain where de... read more 
Machine Learning cs.AI

Hand2World: Autoregressive Egocentric Interaction Generation via Free-Space Hand Gestures

arXiv Feb 10, 2026
Egocentric interactive world models are essential for augmented reality and embodied AI, where visual generation must respond to user input with low latency, geometric consistency, and long-term stability. We study egocentric interaction generation f... read more 
Computer Vision and Pattern Recognition

Tele-Omni: a Unified Multimodal Framework for Video Generation and Editing

arXiv Feb 10, 2026
Recent advances in diffusion-based video generation have substantially improved visual fidelity and temporal coherence. However, most existing approaches remain task-specific and rely primarily on textual instructions, limiting their ability to handl... read more 
Computer Vision and Pattern Recognition

Towards Training-free Multimodal Hate Localisation with Large Language Models

arXiv Feb 10, 2026
The proliferation of hateful content in online videos poses severe threats to individual well-being and societal harmony. However, existing solutions for video hate detection either rely heavily on large-scale human annotations or lack fine-grained t... read more 
Computer Vision and Pattern Recognition cs.MM

VideoAfford: Grounding 3D Affordance from Human-Object-Interaction Videos via Multimodal Large Language Model

arXiv Feb 10, 2026
3D affordance grounding aims to highlight the actionable regions on 3D objects, which is crucial for robotic manipulation. Previous research primarily focused on learning affordance knowledge from static cues such as language and images, which strugg... read more 
Computer Vision and Pattern Recognition

Blind denoising diffusion models and the blessings of dimensionality

arXiv Feb 10, 2026
We analyze, theoretically and empirically, the performance of generative diffusion models based on \emph{blind denoisers}, in which the denoiser is not given the noise amplitude in either the training or sampling processes. Assuming that the data dis... read more 
Machine Learning stat.ML

Semi-supervised Liver Segmentation and Patch-based Fibrosis Staging with Registration-aided Multi-parametric MRI

arXiv Feb 10, 2026
Liver fibrosis poses a substantial challenge in clinical practice, emphasizing the necessity for precise liver segmentation and accurate disease staging. Based on the CARE Liver 2025 Track 4 Challenge, this study introduces a multi-task deep learning... read more 
Computer Vision and Pattern Recognition

GenSeg-R1: RL-Driven Vision-Language Grounding for Fine-Grained Referring Segmentation

arXiv Feb 10, 2026
We study fine-grained referring image segmentation via a decoupled reason-then-segment pipeline. A vision-language model (VLM) receives an image and a natural-language query, reasons about the scene, and emits structured spatial prompts: a bounding b... read more 
Computer Vision and Pattern Recognition cs.AI

Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings

arXiv Feb 10, 2026
Recent advances in imaging technologies, deep learning and numerical performance have enabled non-invasive detailed analysis of artworks, supporting their documentation and conservation. In particular, automated detection of craquelure in digitized p... read more 
Computer Vision and Pattern Recognition cs.LG math.NA
Popular Topics
Recent Journals