Artificial Intelligence Medical Compendium

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

Showing 62,161 to 62,170 of 230,319 articles

FastGHA: Generalized Few-Shot 3D Gaussian Head Avatars with Real-Time Animation

arXiv Jan 20, 2026
Despite recent progress in 3D Gaussian-based head avatar modeling, efficiently generating high fidelity avatars remains a challenge. Current methods typically rely on extensive multi-view capture setups or monocular videos with per-identity optimizat... read more 
Computer Vision and Pattern Recognition

DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes

arXiv Jan 20, 2026
Social media imagery provides a low-latency source of situational information during natural and human-induced disasters, enabling rapid damage assessment and response. While Visual Question Answering (VQA) has shown strong performance in general-pur... read more 
Computer Vision and Pattern Recognition

Probabilistic Deep Discriminant Analysis for Wind Blade Segmentation

arXiv Jan 20, 2026
Linear discriminant analysis improves class separability but struggles with non-linearly separable data. To overcome this, we introduce Deep Discriminant Analysis (DDA), which directly optimizes the Fisher criterion utilizing deep networks. To ensure... read more 
Computer Vision and Pattern Recognition cs.LG

OCCAM: Class-Agnostic, Training-Free, Prior-Free and Multi-Class Object Counting

arXiv Jan 20, 2026
Class-Agnostic object Counting (CAC) involves counting instances of objects from arbitrary classes within an image. Due to its practical importance, CAC has received increasing attention in recent years. Most existing methods assume a single object c... read more 
Computer Vision and Pattern Recognition

OmniOVCD: Streamlining Open-Vocabulary Change Detection with SAM 3

arXiv Jan 20, 2026
Change Detection (CD) is a fundamental task in remote sensing. It monitors the evolution of land cover over time. Based on this, Open-Vocabulary Change Detection (OVCD) introduces a new requirement. It aims to reduce the reliance on predefined catego... read more 
Computer Vision and Pattern Recognition cs.AI

TractRLFusion: A GPT-Based Multi-Critic Policy Fusion Framework for Fiber Tractography

arXiv Jan 20, 2026
Tractography plays a pivotal role in the non-invasive reconstruction of white matter fiber pathways, providing vital information on brain connectivity and supporting precise neurosurgical planning. Although traditional methods relied mainly on classi... read more 
Machine Learning cs.AI

Towards Visually Explaining Statistical Tests with Applications in Biomedical Imaging

arXiv Jan 20, 2026
Deep neural two-sample tests have recently shown strong power for detecting distributional differences between groups, yet their black-box nature limits interpretability and practical adoption in biomedical analysis. Moreover, most existing post-hoc ... read more 
Computer Vision and Pattern Recognition

On the Role of Rotation Equivariance in Monocular 3D Human Pose Estimation

arXiv Jan 20, 2026
Estimating 3D from 2D is one of the central tasks in computer vision. In this work, we consider the monocular setting, i.e. single-view input, for 3D human pose estimation (HPE). Here, the task is to predict a 3D point set of human skeletal joints fr... read more 
Computer Vision and Pattern Recognition

HyperWalker: Dynamic Hypergraph-Based Deep Diagnosis for Multi-Hop Clinical Modeling across EHR and X-Ray in Medical VLMs

arXiv Jan 20, 2026
Automated clinical diagnosis remains a core challenge in medical AI, which usually requires models to integrate multi-modal data and reason across complex, case-specific contexts. Although recent methods have advanced medical report generation (MRG) ... read more 
Computation and Language cs.CV

SCG With Your Phone: Diagnosis of Rhythmic Spectrum Disorders in Field Conditions

arXiv Jan 20, 2026
Aortic valve opening (AO) events are crucial for detecting frequency and rhythm disorders, especially in real-world settings where seismocardiography (SCG) signals collected via consumer smartphones are subject to noise, motion artifacts, and variabi... read more 
Quantitative Methods cs.LG eess.SP
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