Artificial Intelligence Medical Compendium

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

Showing 39,031 to 39,040 of 223,469 articles

ViBe: Ultra-High-Resolution Video Synthesis Born from Pure Images

arXiv Mar 24, 2026
Transformer-based video diffusion models rely on 3D attention over spatial and temporal tokens, which incurs quadratic time and memory complexity and makes end-to-end training for ultra-high-resolution videos prohibitively expensive. To overcome this... read more 
Computer Vision and Pattern Recognition

Pose-Free Omnidirectional Gaussian Splatting for 360-Degree Videos with Consistent Depth Priors

arXiv Mar 24, 2026
Omnidirectional 3D Gaussian Splatting with panoramas is a key technique for 3D scene representation, and existing methods typically rely on slow SfM to provide camera poses and sparse points priors. In this work, we propose a pose-free omnidirectiona... read more 
Computer Vision and Pattern Recognition

ARGENT: Adaptive Hierarchical Image-Text Representations

arXiv Mar 24, 2026
Large-scale Vision-Language Models (VLMs) such as CLIP learn powerful semantic representations but operate in Euclidean space, which fails to capture the inherent hierarchical structure of visual and linguistic concepts. Hyperbolic geometry, with its... read more 
Computer Vision and Pattern Recognition cs.LG

Curriculum-Driven 3D CT Report Generation via Language-Free Visual Grafting and Zone-Constrained Compression

arXiv Mar 24, 2026
Automated radiology report generation from 3D computed tomography (CT) volumes is challenging due to extreme sequence lengths, severe class imbalance, and the tendency of large language models (LLMs) to ignore visual tokens in favor of linguistic pri... read more 
Computer Vision and Pattern Recognition cs.AI

Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning

arXiv Mar 24, 2026
Radiotherapy workflows for oncological patients increasingly rely on multi-modal medical imaging, commonly involving both Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). MRI-only treatment planning has emerged as an attractive alternat... read more 
Computer Vision and Pattern Recognition

Knot-10:A Tightness-Stratified Benchmark for Real-World Knot Classification with Topological Difficulty Analysis

arXiv Mar 24, 2026
Physical knot classification is a fine-grained visual classification (FGVC) scenario in which appearance cues are deliberately suppressed: different classes share the same rope material, color, and background, and class identity resides primarily in ... read more 
Computer Vision and Pattern Recognition

CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection

arXiv Mar 24, 2026
Multi-modal fusion has emerged as a promising paradigm for accurate 3D object detection. However, performance degrades substantially when deployed in target domains different from training. In this work, focusing on dual-branch proposal-level detecto... read more 
Computer Vision and Pattern Recognition

Multi-Modal Image Fusion via Intervention-Stable Feature Learning

arXiv Mar 24, 2026
Multi-modal image fusion integrates complementary information from different modalities into a unified representation. Current methods predominantly optimize statistical correlations between modalities, often capturing dataset-induced spurious associ... read more 
Computer Vision and Pattern Recognition cs.MM

SynForceNet: A Force-Driven Global-Local Latent Representation Framework for Lithium-Ion Battery Fault Diagnosis

arXiv Mar 24, 2026
Online safety fault diagnosis is essential for lithium-ion batteries in electric vehicles(EVs), particularly under complex and rare safety-critical conditions in real-world operation. In this work, we develop an online battery fault diagnosis network... read more 
Machine Learning

GO-Renderer: Generative Object Rendering with 3D-aware Controllable Video Diffusion Models

arXiv Mar 24, 2026
Reconstructing a renderable 3D model from images is a useful but challenging task. Recent feedforward 3D reconstruction methods have demonstrated remarkable success in efficiently recovering geometry, but still cannot accurately model the complex app... read more 
Computer Vision and Pattern Recognition
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