Artificial Intelligence Medical Compendium

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

Showing 25,121 to 25,130 of 217,472 articles

DualGeo: A Dual-View Framework for Worldwide Image Geo-localization

arXiv Apr 28, 2026
Worldwide image geo-localization aims to infer the geographic location of an image captured anywhere on Earth, spanning street, city, regional, national, and continental scales. Existing methods rely on visual features that are sensitive to environme... read more 
Computer Vision and Pattern Recognition

TopoMamba: Topology-Aware Scanning and Fusion for Segmenting Heterogeneous Medical Visual Media

arXiv Apr 28, 2026
Visual state-space models (SSMs) have shown strong potential for medical image segmentation, yet their effectiveness is often limited by two practical issues: axis-biased scan ordering weakens the modeling of oblique and curved structures, and naive ... read more 
Computer Vision and Pattern Recognition

TopoMamba: Topology-Aware Scanning and Fusion for Segmenting Heterogeneous Medical Visual Media

arXiv Apr 28, 2026
Visual state-space models (SSMs) have shown strong potential for medical image segmentation, yet their effectiveness is often limited by two practical issues: axis-biased scan ordering weakens the modeling of oblique and curved structures, and naive ... read more 
Computer Vision and Pattern Recognition

Control Your Queries: Heterogeneous Query Interaction for Camera-Radar Fusion

arXiv Apr 28, 2026
In autonomous driving, camera-radar fusion offers complementary sensing and low deployment cost. Existing methods perform fusion through input mixing, feature map mixing, or query-based feature sampling. We propose a new fusion paradigm, termed heter... read more 
Computer Vision and Pattern Recognition

Refinement via Regeneration: Enlarging Modification Space Boosts Image Refinement in Unified Multimodal Models

arXiv Apr 28, 2026
Unified multimodal models (UMMs) integrate visual understanding and generation within a single framework. For text-to-image (T2I) tasks, this unified capability allows UMMs to refine outputs after their initial generation, potentially extending the p... read more 
Computer Vision and Pattern Recognition

SAMe: A Semantic Anatomy Mapping Engine for Robotic Ultrasound

arXiv Apr 28, 2026
Robotic ultrasound has advanced local image-driven control, contact regulation, and view optimization, yet current systems lack the anatomical understanding needed to determine what to scan, where to begin, and how to adapt to individual patient anat... read more 
Computer Vision and Pattern Recognition cs.RO

Towards interpretable AI with quantum annealing feature selection

arXiv Apr 28, 2026
Deep learning models are used in critical applications, in which mistakes can have serious consequences. Therefore, it is crucial to understand how and why models generate predictions. This understanding provides useful information to check whether t... read more 
Machine Learning

SlicerRoboTMS: An Open-Source 3D Slicer Extension for Robot-Assisted Transcranial Magnetic Stimulation

arXiv Apr 28, 2026
Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS) is an image-guided robotic intervention that enhances the accuracy and reproducibility of conventional Transcranial Magnetic Stimulation (TMS), a widely used non-invasive brain stimulation p... read more 
Robotics cs.HC

Exploring Remote Photoplethysmography for Neonatal Pain Detection from Facial Videos

arXiv Apr 28, 2026
Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower weight gain, emphasising the need for more objective and reliable pain assessment methods. Hence, automated methods using behavioural and physiological... read more 
Computer Vision and Pattern Recognition eess.IV

Robustness Evaluation of a Foundation Segmentation Model Under Simulated Domain Shifts in Abdominal CT: Implications for Health Digital Twin Deployment

arXiv Apr 28, 2026
Foundation segmentation models such as the Segment Anything Model (SAM) have demonstrated strong generalization across natural images; however, their robustness under clinically realistic medical imaging domain shifts remains insufficiently quantifie... read more 
Image and Video Processing cs.CV
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