Artificial Intelligence Medical Compendium

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

Showing 23,641 to 23,650 of 217,176 articles

Posterior Augmented Flow Matching

arXiv May 1, 2026
Flow matching (FM) trains a time-dependent vector field that transports samples from a simple prior to a complex data distribution. However, for high-dimensional images, each training sample supervises only a single trajectory and intermediate point,... read more 
Computer Vision and Pattern Recognition

Let ViT Speak: Generative Language-Image Pre-training

arXiv May 1, 2026
In this paper, we present \textbf{Gen}erative \textbf{L}anguage-\textbf{I}mage \textbf{P}re-training (GenLIP), a minimalist generative pretraining framework for Vision Transformers (ViTs) designed for multimodal large language models (MLLMs). To bett... read more 
Computer Vision and Pattern Recognition

Generating Statistical Charts with Validation-Driven LLM Workflows

arXiv May 1, 2026
Generating diverse, readable statistical charts from tabular data remains challenging for LLMs, as many failures become apparent after rendering and are not detectable from data or code alone. Existing chart datasets also rarely provide fully aligned... read more 
Machine Learning

GMGaze: MoE-Based Context-Aware Gaze Estimation with CLIP and Multiscale Transformer

arXiv May 1, 2026
Gaze estimation methods commonly use facial appearances to predict the direction of a person gaze. However, previous studies show three major challenges with convolutional neural network (CNN)-based, transformer-based, and contrastive language-image ... read more 
Computer Vision and Pattern Recognition

Unsupervised Denoising of Real Clinical Low Dose Liver CT with Perceptual Attention Networks

arXiv May 1, 2026
With the development of deep learning, medical image processing has been widely used to assist clinical research. This paper focuses on the denoising problem of low-dose computed tomography using deep learning. Although low-dose computed tomography r... read more 
Image and Video Processing cs.AI cs.CV

Modeling Subjective Urban Perception with Human Gaze

arXiv May 1, 2026
Urban perception describes how people subjectively evaluate urban environments, shaping how cities are experienced and understood. Existing computational approaches primarily model urban perception directly from street view images, but largely ignore... read more 
Computer Vision and Pattern Recognition cs.HC

Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels

arXiv May 1, 2026
Edge detection refers to identifying points in a digital image where intensity changes sharply, indicating object boundaries or structural features. Corners are locations where gray-level intensity changes abruptly in multiple directions and are wide... read more 
Computer Vision and Pattern Recognition

Temporal Data Requirement for Predicting Unplanned Hospital Readmissions

arXiv May 1, 2026
With the proliferation of Electronic Health Records (EHRs), a critical challenge in building predictive models is determining the optimal historical data time window to maximize accuracy. This study investigates the impact of various observation wind... read more 
Machine Learning

EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure

arXiv May 1, 2026
Federated Multimodal Learning (FML) trains multimodal models across decentralized clients while keeping their image-text pairs private. However, joint embedding training entangles forgotten knowledge across both modalities and client gradient subspac... read more 
Networking and Internet Architecture cs.AI cs.LG cs.MM

Exploring the Limits of End-to-End Feature-Affinity Propagation for Single-Point Supervised Infrared Small Target Detection

arXiv May 1, 2026
Single-point supervised infrared small target detection (IRSTD) drastically reduces dense annotation costs. Current state-of-the-art (SOTA) methods achieve high precision by recovering mask supervision through explicit, offline pseudo-label construct... read more 
Computer Vision and Pattern Recognition
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