Artificial Intelligence Medical Compendium

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

Showing 42,591 to 42,600 of 223,853 articles

Learning to Wander: Improving the Global Image Geolocation Ability of LMMs via Actionable Reasoning

arXiv Mar 11, 2026
Geolocation, the task of identifying the geographic location of an image, requires abundant world knowledge and complex reasoning abilities. Though advanced large multimodal models (LMMs) have shown superior aforementioned capabilities, their perform... read more 
Computer Vision and Pattern Recognition

Fighting Hallucinations with Counterfactuals: Diffusion-Guided Perturbations for LVLM Hallucination Suppression

arXiv Mar 11, 2026
While large vision-language models (LVLMs) achieve strong performance on multimodal tasks, they frequently generate hallucinations -- unfaithful outputs misaligned with the visual input. To address this issue, we introduce CIPHER (Counterfactual Imag... read more 
Computer Vision and Pattern Recognition

StructDamage:A Large Scale Unified Crack and Surface Defect Dataset for Robust Structural Damage Detection

arXiv Mar 11, 2026
Automated detection and classification of structural cracks and surface defects is a critical challenge in civil engineering, infrastructure maintenance, and heritage preservation. Recent advances in Computer Vision (CV) and Deep Learning (DL) have s... read more 
Computer Vision and Pattern Recognition

Spatial self-supervised Peak Learning and correlation-based Evaluation of peak picking in Mass Spectrometry Imaging

arXiv Mar 11, 2026
Mass spectrometry imaging (MSI) enables label-free visualization of molecular distributions across tissue samples but generates large and complex datasets that require effective peak picking to reduce data size while preserving meaningful biological ... read more 
Computer Vision and Pattern Recognition

VERI-DPO: Evidence-Aware Alignment for Clinical Summarization via Claim Verification and Direct Preference Optimization

arXiv Mar 11, 2026
Brief Hospital Course (BHC) narratives must be clinically useful yet faithful to fragmented EHR evidence. LLM-based clinical summarizers still introduce unsupported statements, and alignment can encourage omissions ("say-less" degeneration). We intro... read more 
Computation and Language cs.LG

IMTBench: A Multi-Scenario Cross-Modal Collaborative Evaluation Benchmark for In-Image Machine Translation

arXiv Mar 11, 2026
End-to-end In-Image Machine Translation (IIMT) aims to convert text embedded within an image into a target language while preserving the original visual context, layout, and rendering style. However, existing IIMT benchmarks are largely synthetic and... read more 
Computer Vision and Pattern Recognition

A New Tensor Network: Tubal Tensor Train and Its Applications

arXiv Mar 11, 2026
We introduce the tubal tensor train (TTT) decomposition, a tensor-network model that combines the t-product algebra of the tensor singular value decomposition (T-SVD) with the low-order core structure of the tensor train (TT) format. For an order-$(N... read more 
Numerical Analysis cs.LG

Naïve Exposure of Generative AI Capabilities Undermines Deepfake Detection

arXiv Mar 11, 2026
Generative AI systems increasingly expose powerful reasoning and image refinement capabilities through user-facing chatbot interfaces. In this work, we show that the naïve exposure of such capabilities fundamentally undermines modern deepfake detecto... read more 
Cryptography and Security cs.AI cs.CV

UHD Image Deblurring via Autoregressive Flow with Ill-conditioned Constraints

arXiv Mar 11, 2026
Ultra-high-definition (UHD) image deblurring poses significant challenges for UHD restoration methods, which must balance fine-grained detail recovery and practical inference efficiency. Although prominent discriminative and generative methods have a... read more 
Computer Vision and Pattern Recognition

Visually-Guided Controllable Medical Image Generation via Fine-Grained Semantic Disentanglement

arXiv Mar 11, 2026
Medical image synthesis is crucial for alleviating data scarcity and privacy constraints. However, fine-tuning general text-to-image (T2I) models remains challenging, mainly due to the significant modality gap between complex visual details and abstr... read more 
Computer Vision and Pattern Recognition
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