Artificial Intelligence Medical Compendium

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

Showing 29,751 to 29,760 of 219,931 articles

Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline

arXiv Apr 17, 2026
Open-vocabulary remote sensing image segmentation (OVRSIS) remains underexplored due to fragmented datasets, limited training diversity, and the lack of evaluation benchmarks that reflect realistic geospatial application demands. Our previous \textit... read more 
Computer Vision and Pattern Recognition

From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmark

arXiv Apr 17, 2026
Ultra-high-definition (UHD) image restoration poses unique challenges due to the high spatial resolution, diverse content, and fine-grained structures present in UHD images. To address these issues, we introduce a progressive spectral decomposition f... read more 
Computer Vision and Pattern Recognition

CPU Optimization of a Monocular 3D Biomechanics Pipeline for Low-Resource Deployment

arXiv Apr 17, 2026
Markerless 3D movement analysis from monocular video enables accessible biomechanical assessment in clinical and sports settings. However, most research-grade pipelines rely on GPU acceleration, limiting deployment on consumer-grade hardware and in l... read more 
Computer Vision and Pattern Recognition cs.PF

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation

arXiv Apr 17, 2026
Reasoning segmentation has recently expanded from ground-level scenes to remote-sensing imagery, yet UAV data poses distinct challenges, including oblique viewpoints, ultra-high resolutions, and extreme scale variations. To address these issues, we f... read more 
Computer Vision and Pattern Recognition

Self-Supervised Angular Deblurring in Photoacoustic Reconstruction via Noisier2Inverse

arXiv Apr 17, 2026
Photoacoustic tomography (PAT) is an emerging imaging modality that combines the complementary strengths of optical contrast and ultrasonic resolution. A central task is image reconstruction, where measured acoustic signals are used to recover the in... read more 
Computer Vision and Pattern Recognition

Towards Robust Endogenous Reasoning: Unifying Drift Adaptation in Non-Stationary Tuning

arXiv Apr 17, 2026
Reinforcement Fine-Tuning (RFT) has established itself as a critical paradigm for the alignment of Multi-modal Large Language Models (MLLMs) with complex human values and domain-specific requirements. Nevertheless, current research primarily focuses ... read more 
Machine Learning

SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification

arXiv Apr 17, 2026
Pathological diagnosis is highly reliant on image analysis, where Regions of Interest (ROIs) serve as the primary basis for diagnostic evidence, while whole-slide image (WSI)-level tasks primarily capture aggregated patterns. To extract these critica... read more 
Computer Vision and Pattern Recognition cs.AI

Diffusion Autoencoder for Unsupervised Artifact Restoration in Handheld Fundus Images

arXiv Apr 17, 2026
The advent of handheld fundus imaging devices has made ophthalmologic diagnosis and disease screening more accessible, efficient, and cost-effective. However, images captured from these setups often suffer from artifacts such as flash reflections, ex... read more 
Computer Vision and Pattern Recognition cs.AI

Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological Framing

arXiv Apr 17, 2026
Large Reasoning Models (LRMs) have demonstrated strong capabilities in generating step-by-step reasoning chains alongside final answers, enabling their deployment in high-stakes domains such as healthcare and education. While prior jailbreak attack s... read more 
Machine Learning cs.AI

MambaBack: Bridging Local Features and Global Contexts in Whole Slide Image Analysis

arXiv Apr 17, 2026
Whole Slide Image (WSI) analysis is pivotal in computational pathology, enabling cancer diagnosis by integrating morphological and architectural cues across magnifications. Multiple Instance Learning (MIL) serves as the standard framework for WSI ana... read more 
Computer Vision and Pattern Recognition cs.AI
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