Xiuyuan Xu

Institute of Electronics — BG

Medicine · Health Sciences

15h-index601citations39works2.92yr avg
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Research Topics

Lung Cancer Diagnosis and Treatment(23), Radiomics and Machine Learning in Medical Imaging(23), COVID-19 diagnosis using AI(16), AI in cancer detection(8), Gyrotron and Vacuum Electronics Research(4)

Publications39 total

A 210–225-GHz Wilkinson Power Divider/Combiner Based on Rectangular Waveguide for Traveling-Wave-Tube Applications
IEEE Transactions on Electron Devices·2026
An Electron-Optical System Based on Superconducting Coil for a 1.03 THz Traveling Wave Tube
2025
Effect of buffer layer thickness on recombination in zincblende InGaN/GaN quantum wells
Journal of Physics D Applied Physics·2025Open Access
Domain Generalization for Pulmonary Nodule Detection via Distributionally-Regularized Mamba
Lecture notes in computer science·2025
Learning from certain regions of interest in medical images via probabilistic positive-unlabeled networks
Medical Image Analysis·2025
Point defect luminescence associated with stacking faults in magnesium doped zincblende GaN
Journal of Applied Physics·2025· 1 citedOpen Access
A 26.2:1 Bandwidth Ultra-Wideband Low-Profile Tightly Coupled Dipole Array with Integrated Feed Network
Sensors·2025Open Access
A Bayesian deep learning model with consolidation-to-tumor ratio (CTR) prior revolutionizes the prediction of spread through air spaces (STAS) in stage IA lung adenocarcinoma: a large-scale diagnostic study
Translational Lung Cancer Research·2025Open Access
Study on G-band traveling wave tube based on piece-wise sine waveguide and sheet electron beam
Physics of Plasmas·2025· 1 citedOpen Access
Automatically predicting lung tumor invasiveness using deep neural networks
Medical Engineering & Physics·2025
An electron-optical system based on superconducting coil for a 670 GHz traveling wave tube
AIP Advances·2025· 2 citedOpen Access
Diabetes-related cognitive impairment: Mechanisms, symptoms, and treatments
Open Medicine·2025· 16 citedOpen Access
Deep learning for precise diagnosis and subtype triage of drug‐resistant tuberculosis on chest computed tomography
MedComm·2024· 19 citedOpen Access
Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics
International Journal of Computational Intelligence Systems·2024· 1 citedOpen Access
Predicting EGFR Mutation Status Using Multi-View Transformer
2023· 1 cited
Predicting Tuberculosis Drug Resistance Using Semi-Supervised and Multi-Task Learning
2023· 1 cited
A scale-aware UNet++ model combined with attentional context supervision and adaptive Tversky loss for accurate airway segmentation
Applied Intelligence·2023· 12 cited
The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks
Computer Methods and Programs in Biomedicine·2022· 4 cited
Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories
IEEE Transactions on Medical Imaging·2022· 30 cited
Deep Learning Empowers Lung Cancer Screening Based on Mobile Low-Dose Computed Tomography in Resource-Constrained Sites
Frontiers in Bioscience-Landmark·2022· 29 citedOpen Access
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Frequent Co-authors

Jixiang Guo(25), Yi Zhang(17), Chengdi Wang(16), Weimin Li(10), Nan Chen(7), Jun Shao(6), Zihuai Wang(5), Jianyong Wang(4), Lunxu Liu(4), Lei Zhang(4), Luqi Zhang(4), Yuncui Gan(3), Hongli Bai(3), Lan Yang(3), Yanqi He(3), Yi Le(3), Tianzhong Lan(3), Shufan Liang(3), Kai Zhou(3), Yi Jiang(3)