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Author

Dailun Hou

Observed names: D L Hou, Hou Dailun, Hou, Dailun
ORCID: 0000-0003-0773-3103
Observed ORCID: 0000-0003-0773-3103
OpenAlex ID: A5112733014
Machine learning and radiomics for the prediction of multidrug resistance in cavitary pulmonary tuberculosis: a multicentre study
2022 · Ye Li, Bing Wang, et al. · European Radiology · 43
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Recent advances in functionalized upconversion nanoparticles for light-activated tumor therapy
2021 · Hongqian Chu, Tingming Cao, et al. · RSC Advances · 29
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Predicting EGFR T790M Mutation in Brain Metastases Using Multisequence MRI-Based Radiomics Signature
2022 · Ye Li, Xinna Lv, et al. · Academic Radiology · 27
Radiomics analysis of lung CT for multidrug resistance prediction in active tuberculosis: a multicentre study
2023 · Ye Li, Zexuan Xu, et al. · European Radiology · 21
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Differentiating EGFR from ALK mutation status using radiomics signature based on MR sequences of brain metastasis
2022 · Ye Li, Xinna Lv, et al. · European Journal of Radiology · 21
A comparison of ultra-high-resolution CT target scan versus conventional CT target reconstruction in the evaluation of ground-glass-nodule-like lung adenocarcinoma
2019 · Yanyan Zhu, Dailun Hou, et al. · Quantitative Imaging in Medicine and Surgery · 20
Differentiating peritoneal tuberculosis and peritoneal carcinomatosis based on a machine learning model with CT: a multicentre study
2023 · Yu Pang, Ye Li, et al. · Abdominal Radiology · 18
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A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer
2024 · Ye Li, Xinna Lv, et al. · European Radiology Experimental · 17
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Artificial intelligence-driven computer aided diagnosis system provides similar diagnosis value compared with doctors’ evaluation in lung cancer screening
2024 · Shan Gao, Zexuan Xu, et al. · BMC Medical Imaging · 16
A prospective multicenter clinical research study validating the effectiveness and safety of a chest X-ray-based pulmonary tuberculosis screening software JF CXR-1 built on a convolutional neural network algorithm
2023 · Yang Yang, Lu Xia, et al. · Frontiers in Medicine · 14
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Differentiating malignant pleural mesothelioma and metastatic pleural disease based on a machine learning model with primary CT signs: A multicentre study
2022 · Ye Li, Botao Cai, et al. · Heliyon · 14
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Utility of Machine Learning and Radiomics Based on Cavity for Predicting the Therapeutic Response of MDR-TB
2023 · Xinna Lv, Ye Li, et al. · Infection and Drug Resistance · 12
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Amplitude of low-frequency fluctuations in multiple-frequency bands in patients with intracranial tuberculosis: a prospective cross-sectional study
2022 · Chengcheng Kong, Dong Xu, et al. · Quantitative Imaging in Medicine and Surgery · 11
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Diagnosis of pulmonary tuberculosis with 3D neural network based on multi-scale attention mechanism
2024 · Shidong Zhang, Cong He, et al. · Medical & Biological Engineering & Computing · 10
Multisequence MRI-based radiomics signature as potential biomarkers for differentiating KRAS mutations in non-small cell lung cancer with brain metastases
2024 · Xinna Lv, Ye Li, et al. · European Journal of Radiology Open · 9
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CT-based nomogram for early identification of T790M resistance in metastatic non-small cell lung cancer before first-line epidermal growth factor receptor-tyrosine kinase inhibitors therapy
2023 · Ye Li, Xinna Lv, et al. · European Radiology Experimental · 8
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Multisequence MRI-based radiomics analysis for early prediction of the risk of T790M resistance in new brain metastases
2023 · Xinna Lv, Ye Li, et al. · Quantitative Imaging in Medicine and Surgery · 5
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Multisequence MRI-based radiomics nomogram for early prediction of osimertinib resistance in patients with non-small cell lung cancer brain metastases
2023 · Xinna Lv, Ye Li, et al. · European Journal of Radiology Open · 5
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Unicentric Castleman disease: multidetector computed tomography classification with surgical and pathologic correlation
2021 · Xiaoli Sun, Ye Du, et al. · Quantitative Imaging in Medicine and Surgery · 5
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Development and validation of a diagnostic radiomics model for the differential diagnosis of coexistent tuberculosis and lung cancer versus isolated lung cancer
2025 · Ning Shi, Limin Wen, et al. · Journal of Thoracic Disease · 4
CT Image Detection of Pulmonary Tuberculosis Based on the Improved Strategy YOLOv5
2023 · Jing Liu, Haojie Xie, et al. · International Journal of Swarm Intelligence Research · 3
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[A preliminary investigation on a deep learning convolutional neural networks based pulmonary tuberculosis CT diagnostic model].
2021 · S C Wu, X J Wang, et al. · PubMed · 3
Machine learning and radiomics for predicting therapeutic efficacy in newly diagnosed sputum-negative pulmonary tuberculosis: a retrospective study
2026 · Shanshan Sun, Ye Li, et al. · PeerJ · 2
Prediction of intracranial response to PD-1/PD-L1 inhibitors therapy in brain metastases originating from non-small cell lung cancer using habitat imaging and peritumoral radiomics: a multicenter study
2025 · Min Ding, Tianrui He, et al. · Frontiers in Oncology · 2
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Synchronous percutaneous microwave ablation combined with percutaneous biopsy for highly suspected malignant pulmonary nodules: a retrospective study
2025 · Yining Liang, Biao Song, et al. · Journal of Thoracic Disease · 2
Works count: 50
Citation count: 333
H-index: 12
I10-index: 14
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