Artificial Intelligence Medical Compendium

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

Showing 47,241 to 47,250 of 224,199 articles

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning

arXiv Feb 25, 2026
3D object detection is essential for autonomous driving and robotic perception, yet its reliance on large-scale manually annotated data limits scalability and adaptability. To reduce annotation dependency, unsupervised and sparsely-supervised paradig... read more 
Computer Vision and Pattern Recognition

See It, Say It, Sorted: An Iterative Training-Free Framework for Visually-Grounded Multimodal Reasoning in LVLMs

arXiv Feb 25, 2026
Recent large vision-language models (LVLMs) have demonstrated impressive reasoning ability by generating long chain-of-thought (CoT) responses. However, CoT reasoning in multimodal contexts is highly vulnerable to visual hallucination propagation: on... read more 
Computer Vision and Pattern Recognition

Which Tool Response Should I Trust? Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic Learning

arXiv Feb 25, 2026
AI agents with tool-use capabilities show promise for integrating the domain expertise of various tools. In the medical field, however, tools are usually AI models that are inherently error-prone and can produce contradictory responses. Existing rese... read more 
Computer Vision and Pattern Recognition

IHF-Harmony: Multi-Modality Magnetic Resonance Images Harmonization using Invertible Hierarchy Flow Model

arXiv Feb 25, 2026
Retrospective MRI harmonization is limited by poor scalability across modalities and reliance on traveling subject datasets. To address these challenges, we introduce IHF-Harmony, a unified invertible hierarchy flow framework for multi-modality harmo... read more 
Computer Vision and Pattern Recognition

VasGuideNet: Vascular Topology-Guided Couinaud Liver Segmentation with Structural Contrastive Loss

arXiv Feb 25, 2026
Accurate Couinaud liver segmentation is critical for preoperative surgical planning and tumor localization.However, existing methods primarily rely on image intensity and spatial location cues, without explicitly modeling vascular topology. As a resu... read more 
Computer Vision and Pattern Recognition

Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction

arXiv Feb 25, 2026
Gene expression prediction, which predicts mRNA expression levels from DNA sequences, presents significant challenges. Previous works often focus on extending input sequence length to locate distal enhancers, which may influence target genes from hun... read more 
Machine Learning q-bio.GN

MultiAnimate: Pose-Guided Image Animation Made Extensible

arXiv Feb 25, 2026
Pose-guided human image animation aims to synthesize realistic videos of a reference character driven by a sequence of poses. While diffusion-based methods have achieved remarkable success, most existing approaches are limited to single-character ani... read more 
Computer Vision and Pattern Recognition

SEF-MAP: Subspace-Decomposed Expert Fusion for Robust Multimodal HD Map Prediction

arXiv Feb 25, 2026
High-definition (HD) maps are essential for autonomous driving, yet multi-modal fusion often suffers from inconsistency between camera and LiDAR modalities, leading to performance degradation under low-light conditions, occlusions, or sparse point cl... read more 
Computer Vision and Pattern Recognition

CADC: Content Adaptive Diffusion-Based Generative Image Compression

arXiv Feb 25, 2026
Diffusion-based generative image compression has demonstrated remarkable potential for achieving realistic reconstruction at ultra-low bitrates. The key to unlocking this potential lies in making the entire compression process content-adaptive, ensur... read more 
Computer Vision and Pattern Recognition

Breaking Semantic-Aware Watermarks via LLM-Guided Coherence-Preserving Semantic Injection

arXiv Feb 25, 2026
Generative images have proliferated on Web platforms in social media and online copyright distribution scenarios, and semantic watermarking has increasingly been integrated into diffusion models to support reliable provenance tracking and forgery pre... read more 
Machine Learning cs.CR cs.CV
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