Artificial Intelligence Medical Compendium

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

Showing 39,061 to 39,070 of 223,469 articles

Concept-based explanations of Segmentation and Detection models in Natural Disaster Management

arXiv Mar 24, 2026
Deep learning models for flood and wildfire segmentation and object detection enable precise, real-time disaster localization when deployed on embedded drone platforms. However, in natural disaster management, the lack of transparency in their decisi... read more 
Computer Vision and Pattern Recognition cs.AI

A Sobering Look at Tabular Data Generation via Probabilistic Circuits

arXiv Mar 24, 2026
Tabular data is more challenging to generate than text and images, due to its heterogeneous features and much lower sample sizes. On this task, diffusion-based models are the current state-of-the-art (SotA) model class, achieving almost perfect perfo... read more 
Machine Learning cs.AI

Zero-Shot Personalization of Objects via Textual Inversion

arXiv Mar 24, 2026
Recent advances in text-to-image diffusion models have substantially improved the quality of image customization, enabling the synthesis of highly realistic images. Despite this progress, achieving fast and efficient personalization remains a key cha... read more 
Computer Vision and Pattern Recognition

WorldMesh: Generating Navigable Multi-Room 3D Scenes via Mesh-Conditioned Image Diffusion

arXiv Mar 24, 2026
Recent progress in image and video synthesis has inspired their use in advancing 3D scene generation. However, we observe that text-to-image and -video approaches struggle to maintain scene- and object-level consistency beyond a limited environment s... read more 
Computer Vision and Pattern Recognition

Few-Shot Generative Model Adaption via Identity Injection and Preservation

arXiv Mar 24, 2026
Training generative models with limited data presents severe challenges of mode collapse. A common approach is to adapt a large pretrained generative model upon a target domain with very few samples (fewer than 10), known as few-shot generative model... read more 
Computer Vision and Pattern Recognition

Privacy-Preserving EHR Data Transformation via Geometric Operators: A Human-AI Co-Design Technical Report

arXiv Mar 24, 2026
Electronic health records (EHRs) and other real-world clinical data are essential for clinical research, medical artificial intelligence, and life science, but their sharing is severely limited by privacy, governance, and interoperability constraints... read more 
Cryptography and Security cs.LG

Caption Generation for Dongba Paintings via Prompt Learning and Semantic Fusion

arXiv Mar 24, 2026
Dongba paintings, the treasured pictorial legacy of the Naxi people in southwestern China, feature richly layered visual elements, vivid color palettes, and pronounced ethnic and regional cultural symbolism, yet their automatic textual description re... read more 
Computer Vision and Pattern Recognition

FixationFormer: Direct Utilization of Expert Gaze Trajectories for Chest X-Ray Classification

arXiv Mar 24, 2026
Expert eye movements provide a rich, passive source of domain knowledge in radiology, offering a powerful cue for integrating diagnostic reasoning into computer-aided analysis. However, direct integration into CNN-based systems, which historically ha... read more 
Computer Vision and Pattern Recognition cs.LG

ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling

arXiv Mar 24, 2026
Due to the great saving of computation and memory overhead, token compression has become a research hot-spot for MLLMs and achieved remarkable progress in image-language tasks. However, for the video, existing methods still fall short of high-ratio t... read more 
Computer Vision and Pattern Recognition cs.AI

SLARM: Streaming and Language-Aligned Reconstruction Model for Dynamic Scenes

arXiv Mar 24, 2026
We propose SLARM, a feed-forward model that unifies dynamic scene reconstruction, semantic understanding, and real-time streaming inference. SLARM captures complex, non-uniform motion through higher-order motion modeling, trained solely on differenti... read more 
Computer Vision and Pattern Recognition
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