Artificial Intelligence Medical Compendium

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

Showing 48,071 to 48,080 of 224,199 articles

WildOS: Open-Vocabulary Object Search in the Wild

arXiv Feb 22, 2026
Autonomous navigation in complex, unstructured outdoor environments requires robots to operate over long ranges without prior maps and limited depth sensing. In such settings, relying solely on geometric frontiers for exploration is often insufficien... read more 
Robotics cs.CV

IPv2: An Improved Image Purification Strategy for Real-World Ultra-Low-Dose Lung CT Denoising

arXiv Feb 22, 2026
The image purification strategy constructs an intermediate distribution with aligned anatomical structures, which effectively corrects the spatial misalignment between real-world ultra-low-dose CT and normal-dose CT images and significantly enhances ... read more 
Computer Vision and Pattern Recognition cs.AI

US-JEPA: A Joint Embedding Predictive Architecture for Medical Ultrasound

arXiv Feb 22, 2026
Ultrasound (US) imaging poses unique challenges for representation learning due to its inherently noisy acquisition process. The low signal-to-noise ratio and stochastic speckle patterns hinder standard self-supervised learning methods relying on a p... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering

arXiv Feb 22, 2026
3D Gaussian Splatting (3DGS) has emerged as a powerful paradigm for real-time and high-fidelity 3D reconstruction from posed images. However, recent studies reveal its vulnerability to adversarial corruptions in input views, where imperceptible yet c... read more 
Computer Vision and Pattern Recognition

RetinaVision: XAI-Driven Augmented Regulation for Precise Retinal Disease Classification using deep learning framework

arXiv Feb 22, 2026
Early and accurate classification of retinal diseases is critical to counter vision loss and for guiding clinical management of retinal diseases. In this study, we proposed a deep learning method for retinal disease classification utilizing optical c... read more 
Computer Vision and Pattern Recognition cs.AI

Partial Soft-Matching Distance for Neural Representational Comparison with Partial Unit Correspondence

arXiv Feb 22, 2026
Representational similarity metrics typically force all units to be matched, making them susceptible to noise and outliers common in neural representations. We extend the soft-matching distance to a partial optimal transport setting that allows some ... read more 
Machine Learning cs.NE stat.ML

MultiDiffSense: Diffusion-Based Multi-Modal Visuo-Tactile Image Generation Conditioned on Object Shape and Contact Pose

arXiv Feb 22, 2026
Acquiring aligned visuo-tactile datasets is slow and costly, requiring specialised hardware and large-scale data collection. Synthetic generation is promising, but prior methods are typically single-modality, limiting cross-modal learning. We present... read more 
Computer Vision and Pattern Recognition cs.AI

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation

arXiv Feb 22, 2026
LiDAR-camera fusion enhances 3D panoptic segmentation by leveraging camera images to complement sparse LiDAR scans, but it also introduces a critical failure mode. Under adverse conditions, degradation or failure of the camera sensor can significantl... read more 
Computer Vision and Pattern Recognition cs.AI

PoseCraft: Tokenized 3D Body Landmark and Camera Conditioning for Photorealistic Human Image Synthesis

arXiv Feb 22, 2026
Digitizing humans and synthesizing photorealistic avatars with explicit 3D pose and camera controls are central to VR, telepresence, and entertainment. Existing skinning-based workflows require laborious manual rigging or template-based fittings, whi... read more 
Computer Vision and Pattern Recognition

Referring Layer Decomposition

arXiv Feb 22, 2026
Precise, object-aware control over visual content is essential for advanced image editing and compositional generation. Yet, most existing approaches operate on entire images holistically, limiting the ability to isolate and manipulate individual sce... read more 
Computer Vision and Pattern Recognition
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