collaborators

6 papers

cs.CV2026

Generative Diffusion Augmentation with Quantum-Enhanced Discrimination for Medical Image Diagnosis

Jingsong Xia, Siqi Wang

In biomedical engineering, artificial intelligence has become a pivotal tool for enhancing medical diagnostics, particularly in medical image classification tasks such as detecting…

cs.CV2026

Domain Generalization with Quantum Enhancement for Medical Image Classification: A Lightweight Approach for Cross-Center Deployment

Jingsong Xia, Siqi Wang

Medical image artificial intelligence models often achieve strong performance in single-center or single-device settings, yet their effectiveness frequently deteriorates in real-wo…

cs.CV2026

A Lightweight Medical Image Classification Framework via Self-Supervised Contrastive Learning and Quantum-Enhanced Feature Modeling

Jingsong Xia, Siqi Wang

Intelligent medical image analysis is essential for clinical decision support but is often limited by scarce annotations, constrained computational resources, and suboptimal model…

quant-ph2026

Lightweight Quantum-Enhanced ResNet for Coronary Angiography Classification: A Hybrid Quantum-Classical Feature Enhancement Framework

Jingsong Xia

Background: Coronary angiography (CAG) is the cornerstone imaging modality for evaluating coronary artery stenosis and guiding interventional decision-making. However, interpretati…

cs.CV2026

A Lightweight Brain-Inspired Machine Learning Framework for Coronary Angiography: Hybrid Neural Representation and Robust Learning Strategies

Jingsong Xia, Siqi Wang

Background: Coronary angiography (CAG) is a cornerstone imaging modality for assessing coronary artery disease and guiding interventional treatment decisions. However, in real-worl…

cs.CV2025

An Efficient Medical Image Classification Method Based on a Lightweight Improved ConvNeXt-Tiny Architecture

Jingsong Xia, Yue Yin, Xiuhan Li

Intelligent analysis of medical imaging plays a crucial role in assisting clinical diagnosis. However, achieving efficient and high-accuracy image classification in resource-constr…