Artificial Intelligence Medical Compendium

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

Showing 60,061 to 60,070 of 228,014 articles

SKANet: A Cognitive Dual-Stream Framework with Adaptive Modality Fusion for Robust Compound GNSS Interference Classification

arXiv Jan 19, 2026
As the electromagnetic environment becomes increasingly complex, Global Navigation Satellite Systems (GNSS) face growing threats from sophisticated jamming interference. Although Deep Learning (DL) effectively identifies basic interference, classifyi... read more 
Computer Vision and Pattern Recognition

VIRO: Robust and Efficient Neuro-Symbolic Reasoning with Verification for Referring Expression Comprehension

arXiv Jan 19, 2026
Referring Expression Comprehension (REC) aims to localize the image region corresponding to a natural-language query. Recent neuro-symbolic REC approaches leverage large language models (LLMs) and vision-language models (VLMs) to perform compositiona... read more 
Artificial Intelligence cs.CV

Open Vocabulary Panoptic Segmentation With Retrieval Augmentation

arXiv Jan 19, 2026
Given an input image and set of class names, panoptic segmentation aims to label each pixel in an image with class labels and instance labels. In comparison, Open Vocabulary Panoptic Segmentation aims to facilitate the segmentation of arbitrary class... read more 
Computer Vision and Pattern Recognition cs.CL

Generalizable and Animatable 3D Full-Head Gaussian Avatar from a Single Image

arXiv Jan 19, 2026
Building 3D animatable head avatars from a single image is an important yet challenging problem. Existing methods generally collapse under large camera pose variations, compromising the realism of 3D avatars. In this work, we propose a new framework ... read more 
Computer Vision and Pattern Recognition

Moaw: Unleashing Motion Awareness for Video Diffusion Models

arXiv Jan 19, 2026
Video diffusion models, trained on large-scale datasets, naturally capture correspondences of shared features across frames. Recent works have exploited this property for tasks such as optical flow prediction and tracking in a zero-shot setting. Moti... read more 
Computer Vision and Pattern Recognition

VISPA: Pluralistic Alignment via Automatic Value Selection and Activation

arXiv Jan 19, 2026
As large language models are increasingly used in high-stakes domains, it is essential that their outputs reflect not average} human preference, rather range of varying perspectives. Achieving such pluralism, however, remains challenging. Existing ap... read more 
Computation and Language cs.AI cs.LG

SSPFormer: Self-Supervised Pretrained Transformer for MRI Images

arXiv Jan 19, 2026
The pre-trained transformer demonstrates remarkable generalization ability in natural image processing. However, directly transferring it to magnetic resonance images faces two key challenges: the inability to adapt to the specificity of medical anat... read more 
Computer Vision and Pattern Recognition

KaoLRM: Repurposing Pre-trained Large Reconstruction Models for Parametric 3D Face Reconstruction

arXiv Jan 19, 2026
We propose KaoLRM to re-target the learned prior of the Large Reconstruction Model (LRM) for parametric 3D face reconstruction from single-view images. Parametric 3D Morphable Models (3DMMs) have been widely used for facial reconstruction due to thei... read more 
Computer Vision and Pattern Recognition

RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels

arXiv Jan 19, 2026
Object detection in sonar images is a key technology in underwater detection systems. Compared to natural images, sonar images contain fewer texture details and are more susceptible to noise, making it difficult for non-experts to distinguish subtle ... read more 
Computer Vision and Pattern Recognition cs.AI

Trend-Adjusted Time Series Models with an Application to Gold Price Forecasting

arXiv Jan 19, 2026
Time series data play a critical role in various fields, including finance, healthcare, marketing, and engineering. A wide range of techniques (from classical statistical models to neural network-based approaches such as Long Short-Term Memory (LSTM)... read more 
Machine Learning
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