Artificial Intelligence Medical Compendium

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

Showing 46,261 to 46,270 of 224,055 articles

DACESR: Degradation-Aware Conditional Embedding for Real-World Image Super-Resolution

arXiv
Multimodal large models have shown excellent ability in addressing image super-resolution in real-world scenarios by leveraging language class as condition information, yet their abilities in degraded images remain limited. In this paper, we first re... read more 

Altitude-Aware Visual Place Recognition in Top-Down View

arXiv
To address the challenge of aerial visual place recognition (VPR) problem under significant altitude variations, this study proposes an altitude-adaptive VPR approach that integrates ground feature density analysis with image classification technique... read more 

NAU-QMUL: Utilizing BERT and CLIP for Multi-modal AI-Generated Image Detection

arXiv
With the aim of detecting AI-generated images and identifying the specific models responsible for their generation, we propose a multi-modal multi-task model. The model leverages pre-trained BERT and CLIP Vision encoders for text and image feature ex... read more 

ULW-SleepNet: An Ultra-Lightweight Network for Multimodal Sleep Stage Scoring

arXiv
Automatic sleep stage scoring is crucial for the diagnosis and treatment of sleep disorders. Although deep learning models have advanced the field, many existing models are computationally demanding and designed for single-channel electroencephalogra... read more 

Polarization Uncertainty-Guided Diffusion Model for Color Polarization Image Demosaicking

arXiv
Color polarization demosaicking (CPDM) aims to reconstruct full-resolution polarization images of four directions from the color-polarization filter array (CPFA) raw image. Due to the challenge of predicting numerous missing pixels and the scarcity o... read more 

Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning

arXiv
Automated identification of DICOM image series is essential for large-scale medical image analysis, quality control, protocol harmonization, and reliable downstream processing. However, DICOM series classification remains challenging due to heterogen... read more 

Inferring Chronic Treatment Onset from ePrescription Data: A Renewal Process Approach

arXiv
Longitudinal electronic health record (EHR) data are often left-censored, making diagnosis records incomplete and unreliable for determining disease onset. In contrast, outpatient prescriptions form renewal-based trajectories that provide a continuou... read more 

Footprint-Guided Exemplar-Free Continual Histopathology Report Generation

arXiv
Rapid progress in vision-language modeling has enabled pathology report generation from gigapixel whole-slide images, but most approaches assume static training with simultaneous access to all data. In clinical deployment, however, new organs, instit... read more 

Action-Geometry Prediction with 3D Geometric Prior for Bimanual Manipulation

arXiv
Bimanual manipulation requires policies that can reason about 3D geometry, anticipate how it evolves under action, and generate smooth, coordinated motions. However, existing methods typically rely on 2D features with limited spatial awareness, or re... read more 

See, Act, Adapt: Active Perception for Unsupervised Cross-Domain Visual Adaptation via Personalized VLM-Guided Agent

arXiv
Pre-trained perception models excel in generic image domains but degrade significantly in novel environments like indoor scenes. The conventional remedy is fine-tuning on downstream data which incurs catastrophic forgetting of prior knowledge and dem... read more