Xueshen Li

Orcid: 0000-0002-6440-7462

According to our database1, Xueshen Li authored at least 14 papers between 2022 and 2026.

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Bibliography

2026
Hexagonal grid-based representation and generative prediction method for citywide traffic accident situations in urban area.
Expert Syst. Appl., 2026

2025
ProMRVL-CAD: Proactive Dialogue System with Multi-Round Vision-Language Interactions for Computer-Aided Diagnosis.
CoRR, February, 2025

A two-stage proactive dialogue generator for efficient clinical information collection using large language model.
Expert Syst. Appl., 2025

2024
Enhancing Screen Time Identification in Children with a Multi-View Vision Language Model and Screen Time Tracker.
CoRR, 2024

A real-time and accurate convolutional neural network for fabric defect detection.
Complex Intell. Syst., 2024

Cross-Platform Super-Resolution for Human Coronary Oct Imaging Using Deep Learning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Translation Identifiability-Guided Unsupervised Cross-Platform Super-Resolution for OCT Images.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

2023
SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images.
CoRR, 2023

Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network.
CoRR, 2023

Detecting human gastric peristalsis using magnetically controlled capsule endoscope via deep learning.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Structural Constrained Virtual Histology Staining for Human Coronary Imaging Using Deep Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Detecting and Measuring Human Gastric Peristalsis Using Magnetically Controlled Capsule Endoscope.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Multi-Scale Reconstruction of Undersampled Spectral-Spatial OCT Data for Coronary Imaging Using Deep Learning.
IEEE Trans. Biomed. Eng., 2022

Non-Invasive Screen Exposure Time Assessment Using Wearable Sensor and Object Detection.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022


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