Artificial Intelligence Medical Compendium

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

Showing 44,971 to 44,980 of 224,055 articles

QD-PCQA: Quality-Aware Domain Adaptation for Point Cloud Quality Assessment

arXiv Mar 4, 2026
No-Reference Point Cloud Quality Assessment (NR-PCQA) still struggles with generalization, primarily due to the scarcity of annotated point cloud datasets. Since the Human Visual System (HVS) drives perceptual quality assessment independently of medi... read more 
Computer Vision and Pattern Recognition

DAGE: Dual-Stream Architecture for Efficient and Fine-Grained Geometry Estimation

arXiv Mar 4, 2026
Estimating accurate, view-consistent geometry and camera poses from uncalibrated multi-view/video inputs remains challenging - especially at high spatial resolutions and over long sequences. We present DAGE, a dual-stream transformer whose main novel... read more 
Computer Vision and Pattern Recognition

WSI-INR: Implicit Neural Representations for Lesion Segmentation in Whole-Slide Images

arXiv Mar 4, 2026
Whole-slide images (WSIs) are fundamental for computational pathology, where accurate lesion segmentation is critical for clinical decision making. Existing methods partition WSIs into discrete patches, disrupting spatial continuity and treating mult... read more 
Computer Vision and Pattern Recognition

IntroductionDMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement

arXiv Mar 4, 2026
Ultra Low Field (64 mT) brain MRI improves accessibility but suffers from reduced image quality compared to 3 T. As paired 64 mT - 3 T scans are scarce, we propose an unpaired 64 mT $\rightarrow$ 3 T translation framework that enhances realism while ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

DMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement

arXiv Mar 4, 2026
Ultra Low Field (64 mT) brain MRI improves accessibility but suffers from reduced image quality compared to 3 T. As paired 64 mT - 3 T scans are scarce, we propose an unpaired 64 mT $\rightarrow$ 3 T translation framework that enhances realism while ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Separators in Enhancing Autoregressive Pretraining for Vision Mamba

arXiv Mar 4, 2026
The state space model Mamba has recently emerged as a promising paradigm in computer vision, attracting significant attention due to its efficient processing of long sequence tasks. Mamba's inherent causal mechanism renders it particularly suitable f... read more 
Computer Vision and Pattern Recognition cs.AI

Adaptive Enhancement and Dual-Pooling Sequential Attention for Lightweight Underwater Object Detection with YOLOv10

arXiv Mar 4, 2026
Underwater object detection constitutes a pivotal endeavor within the realms of marine surveillance and autonomous underwater systems; however, it presents significant challenges due to pronounced visual impairments arising from phenomena such as lig... read more 
Computer Vision and Pattern Recognition

Universal Pansharpening Foundation Model

arXiv Mar 4, 2026
Pansharpening generates the high-resolution multi-spectral (MS) image by integrating spatial details from a texture-rich panchromatic (PAN) image and spectral attributes from a low-resolution MS image. Existing methods are predominantly satellite-spe... read more 
Computer Vision and Pattern Recognition

Non-Invasive Reconstruction of Cardiac Activation Dynamics Using Physics-Informed Neural Networks

arXiv Mar 4, 2026
Cardiac arrhythmogenesis is governed by complex electromechanical interactions that are not directly observable in vivo, motivating the development of non-invasive computational approaches for reconstructing three-dimensional activation dynamics. We ... read more 
Medical Physics cs.LG

All-in-One Image Restoration via Causal-Deconfounding Wavelet-Disentangled Prompt Network

arXiv Mar 4, 2026
Image restoration represents a promising approach for addressing the inherent defects of image content distortion. Standard image restoration approaches suffer from high storage cost and the requirement towards the known degradation pattern, includin... read more 
Computer Vision and Pattern Recognition
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