Artificial Intelligence Medical Compendium

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

Showing 30,151 to 30,160 of 220,100 articles

Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance

arXiv Apr 17, 2026
One of the dominant paradigms in self-supervised learning (SSL), illustrated by MoCo or DINO, aims to produce robust representations by capturing features that are insensitive to certain image transformations such as illumination, or geometric change... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG stat.ML

DenTab: A Dataset for Table Recognition and Visual QA on Real-World Dental Estimates

arXiv Apr 17, 2026
Tables condense key transactional and administrative information into compact layouts, but practical extraction requires more than text recognition: systems must also recover structure (rows, columns, merged cells, headers) and interpret roles such a... read more 
Computer Vision and Pattern Recognition

Dual-Modal Lung Cancer AI: Interpretable Radiology and Microscopy with Clinical Risk Integration

arXiv Apr 17, 2026
Lung cancer remains one of the leading causes of cancer-related mortality worldwide. Conventional computed tomography (CT) imaging, while essential for detection and staging, has limitations in distinguishing benign from malignant lesions and providi... read more 
Image and Video Processing cs.AI cs.CV

Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset

arXiv Apr 17, 2026
Tone style transfer for photo retouching aims to adapt the stylistic tone of the reference image to a given content image. However, the lack of high-quality large-scale triplet datasets with stylized ground truth forces existing methods to rely on se... read more 
Computer Vision and Pattern Recognition

From Articles to Canopies: Knowledge-Driven Pseudo-Labelling for Tree Species Classification using LLM Experts

arXiv Apr 17, 2026
Hyperspectral tree species classification is challenging due to limited and imbalanced class labels, spectral mixing (overlapping light signatures from multiple species), and ecological heterogeneity (variability among ecological systems). Addressing... read more 
Computer Vision and Pattern Recognition

Univariate Channel Fusion for Multivariate Time Series Classification

arXiv Apr 17, 2026
Multivariate time series classification (MTSC) plays a crucial role in various domains, including biomedical signal analysis and motion monitoring. However, existing approaches, particularly deep learning models, often require high computational reso... read more 
Machine Learning

MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation

arXiv Apr 17, 2026
Automated 3D radiology report generation often suffers from clinical hallucinations and a lack of the iterative verification found in human practice. While recent Vision-Language Models (VLMs) have advanced the field, they typically operate as monoli... read more 
Artificial Intelligence cs.CV

Winner of CVPR2026 NTIRE Challenge on Image Shadow Removal: Semantic and Geometric Guidance for Shadow Removal via Cascaded Refinement

arXiv Apr 17, 2026
We present a three-stage progressive shadow-removal pipeline for the CVPR2026 NTIRE WSRD+ challenge. Built on OmniSR, our method treats deshadowing as iterative direct refinement, where later stages correct residual artefacts left by earlier predicti... read more 
Computer Vision and Pattern Recognition

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation

arXiv Apr 17, 2026
Data attribution and valuation are critical for understanding data-model synergy for Large Language Models (LLMs), yet existing gradient-based methods suffer from scalability challenges on LLMs. Inspired by human cognition, where decision making reli... read more 
Machine Learning

Saturation-Aware Space-Variant Blind Image Deblurring

arXiv Apr 17, 2026
This paper presents a novel saturation aware space variant blind image deblurring framework designed to address challenges posed by saturated pixels in deblurring under high dynamic range and low light conditions. The proposed approach effectively se... read more 
Computer Vision and Pattern Recognition
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