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Shanfu Lu

Mutually aided uncertainty incorporated dual consistency regularization with pseudo label for semi-supervised medical image segmentation
2023 · Shanfu Lu, Zijian Zhang, et al. · Neurocomputing · 42
Dual consistency regularization with subjective logic for semi-supervised medical image segmentation
2024 · Shanfu Lu, Ziye Yan, et al. · Computers in Biology and Medicine · 17
Prognosis Forecast of Re-Irradiation for Recurrent Nasopharyngeal Carcinoma Based on Deep Learning Multi-Modal Information Fusion
2023 · Shanfu Lu, Xiang Xiao, et al. · IEEE Journal of Biomedical and Health Informatics · 15
Machine Learning-Guided Gradient Dual-Proton Conducting Catalytic Layers for High Temperature Proton Exchange Membrane Fuel Cells in Aviation
2025 · Xin Wang, Jian Yao, et al. · Engineering · 6
Deep learning-based multi-omics model to predict nasopharyngeal necrosis of re-irradiation for recurrent nasopharyngeal carcinoma
2025 · Xingwang Gao, Yinglin Peng, et al. · Frontiers in Oncology · 5
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Prior knowledge of anatomical relationships supports automatic delineation of clinical target volume for cervical cancer
2025 · Jialin Shi, Xiaoqian Mao, et al. · Scientific Reports · 4
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A severe case of rhabdomyolysis, acute kidney injury, cardiogenic shock, and chronic complications caused by an excessively large dose of Tripterygium glycoside
2026 · Shurong Lu, Huan Zhong, et al. · International Immunopharmacology · 3
Development and validation of a multi-modality fusion deep learning model for differentiating glioblastoma from solitary brain metastases.
2024 · Shanshan Shen, Chunquan Li, et al. · PubMed · 3
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CT-based radiomics for predicting radio-chemotherapy response and overall survival in nonsurgical esophageal carcinoma
2023 · Chao Li, Yuteng Pan, et al. · Frontiers in Oncology · 3
Study on Technologies of Overhead Line Recognition and Obstacle Distance Measurement by Patrol Robots Based on Deep Learning
2020 · Jun Yang, Hongbin Guo, et al. · International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI) · 3
Fundus to fluorescein angiography video generation as a retinal generative foundation model
2026 · Weiyi Zhang, Jiancheng Yang, et al. · npj Digital Medicine · 2
Automatic delineation of organ at risk in cervical cancer radiotherapy based on ensemble learning.
2022 · Tingting Cheng, Zijian Zhang, et al. · PubMed · 1
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Key Technology Research on the Inspection Robot for High-Voltage Transmission Lines
2020 · Jun Yang, Hongbin Guo, et al. · International Conference on Mechanical, Control and Computer Engineering (ICMCCE) · 1
[Classification and related operation procedures of pelvic tumor treated with partial pelvic resection].
1998 · F Lin, S Lu, et al. · PubMed · 1
Disentangling structure from modality: An attention-based framework for CBCT-to-CT synthesis
2026 · Shuanshuan Guo, Shufan Mao, et al. · Biomedical Signal Processing and Control
A full-scale attention-augmented CNN-transformer model for segmentation of oropharyngeal mucosa organs-at-risk in radiotherapy
2025 · Lian He, Jianda Sun, et al. · Physical and Engineering Sciences in Medicine
Comprehensive analysis of differentially expressed genes in toll-like receptor signalling pathway: Insights into new-onset microscopic polyangiitis
2024 · Huan Zhong, Shurong Lu, et al. · Microbial Pathogenesis
1420: Prediction of necrosis based on deep learning for recurrent nasopharyngeal carcinoma radiotherapy
2024 · Yimei Liu, Shanfu Lu, et al. · Radiotherapy and Oncology
GTV Based Automatic Delineation of Clinical Target Volume for Cervical Cancer
2023 · X. Mao, S. Mao, et al. · International Journal of Radiation Oncology*Biology*Physics
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Esophageal Tumor Identification by Deep Learning on Treatment Planning CT Images
2020 · S. Lu, L. Jiang, et al. · International Journal of Radiation Oncology*Biology*Physics
PO-0954 A Prediction Model of Acute Esophageal Toxicity in Esophageal Squamous Cell Carcinoma Patients
2019 · L. Jiang, S. Lu, et al. · Radiotherapy and Oncology
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Multivariable Normal Tissue Complication Modeling of Acute Esophageal Toxicity in Esophageal Squamous Cancer Patients Treated with Radio(Chemo)Therapy
2018 · L. Jiang, S. Lu, et al. · International Journal of Radiation Oncology*Biology*Physics
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SU-F-T-359: Incorporating Dose Volume Histogram Prediction Into Auto-Planning for Volumetric-Modulated Arc Therapy in Rectal Cancer
2016 · K Li, X Chen, et al. · Medical Physics
TU‐C‐17A‐11: Progressive Knowledge Modeling for Pelvic IMRT/VMAT Treatment Planning
2014 · S Lu, L Yuan, et al. · Medical Physics
SU-E-T-627: Failure Modes and Effect Analysis for Monthly Quality Assurance of Linear Accelerator
2014 · J Xie, Y Xiao, et al. · Medical Physics
Works count: 25
Citation count: 106
H-index: 5
I10-index: 3
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