Artificial Intelligence Medical Compendium

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

Showing 42,971 to 42,980 of 223,853 articles

Ego: Embedding-Guided Personalization of Vision-Language Models

arXiv Mar 10, 2026
AI assistants that support humans in daily life are becoming increasingly feasible, driven by the rapid advancements in multimodal language models. A key challenge lies in overcoming the generic nature of these models to deliver personalized experien... read more 
Computer Vision and Pattern Recognition cs.AI

ConfCtrl: Enabling Precise Camera Control in Video Diffusion via Confidence-Aware Interpolation

arXiv Mar 10, 2026
We address the challenge of novel view synthesis from only two input images under large viewpoint changes. Existing regression-based methods lack the capacity to reconstruct unseen regions, while camera-guided diffusion models often deviate from inte... read more 
Computer Vision and Pattern Recognition

BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling

arXiv Mar 10, 2026
Dynamic functional connectivity captures time-varying brain states for better neuropsychiatric diagnosis and spatio-temporal interpretability, i.e., identifying when discriminative disease signatures emerge and where they reside in the connectivity t... read more 
Computer Vision and Pattern Recognition

VLM-Loc: Localization in Point Cloud Maps via Vision-Language Models

arXiv Mar 10, 2026
Text-to-point-cloud (T2P) localization aims to infer precise spatial positions within 3D point cloud maps from natural language descriptions, reflecting how humans perceive and communicate spatial layouts through language. However, existing methods l... read more 
Computer Vision and Pattern Recognition

CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy

arXiv Mar 10, 2026
Super-resolution ultrasound via microbubble (MB) localisation and tracking, also known as ultrasound localisation microscopy (ULM), can resolve microvasculature beyond the acoustic diffraction limit. However, significant challenges remain in localisa... read more 
Image and Video Processing cs.CV

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition

arXiv Mar 10, 2026
Open-domain visual entity recognition (VER) seeks to associate images with entities in encyclopedic knowledge bases such as Wikipedia. Recent generative methods tailored for VER demonstrate strong performance but incur high computational costs, limit... read more 
Computer Vision and Pattern Recognition

Fine-grained Motion Retrieval via Joint-Angle Motion Images and Token-Patch Late Interaction

arXiv Mar 10, 2026
Text-motion retrieval aims to learn a semantically aligned latent space between natural language descriptions and 3D human motion skeleton sequences, enabling bidirectional search across the two modalities. Most existing methods use a dual-encoder fr... read more 
Computer Vision and Pattern Recognition cs.IR

Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation

arXiv Mar 10, 2026
Multimodal neuroimaging provides complementary insights for Alzheimer's disease diagnosis, yet clinical datasets frequently suffer from missing modalities. We propose ACADiff, a framework that synthesizes missing brain imaging modalities through adap... read more 
Computer Vision and Pattern Recognition cs.AI

Unsupervised Domain Adaptation with Target-Only Margin Disparity Discrepancy

arXiv Mar 10, 2026
In interventional radiology, Cone-Beam Computed Tomography (CBCT) is a helpful imaging modality that provides guidance to practicians during minimally invasive procedures. CBCT differs from traditional Computed Tomography (CT) due to its limited reco... read more 
Computer Vision and Pattern Recognition

Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective

arXiv Mar 10, 2026
Generative Modeling via Drifting has recently achieved state-of-the-art one-step image generation through a kernel-based drift operator, yet the success is largely empirical and its theoretical foundations remain poorly understood. In this paper, we ... read more 
Machine Learning
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