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Xueqing Peng

Fudan University

13

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84

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Single-cell transcriptome profiling simulation reveals the impact of sequencing parameters and algorithms on clustering

2021 bioRxiv
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CT-based radiomics for differentiating invasive adenocarcinomas from indolent lung adenocarcinomas appearing as ground-glass nodules: A systematic review

2021 European Journal of Radiology
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A deep learning-based quantitative computed tomography model for predicting the severity of COVID-19: a retrospective study of 196 patients

2021 Annals of Translational Medicine
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Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma In Situ and Minimally Invasive Adenocarcinoma Presenting as Ground-Glass Nodules Measuring 5-10mm in Diameter

2021 Frontiers in Oncology
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DeepSDM: Boundary-aware Pneumothorax Segmentation in Chest X-Ray Images

2021 Neurocomputing
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Attention-Based Deep Multiple Instances Learning For Classifying Circular RNA and Other Long Non-Coding RNA

2021 bioRxiv
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An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing

2020 Quantitative imaging in medicine and surgery
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Twenty Metabolic Genes Based Signature Predicts Survival of Glioma Patients

2020 Journal of Cancer
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Deep Learning-Based Quantitative Computed Tomography Model in Predicting the Severity of COVID-19: A Retrospective Study in 196 Patients

2020
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One-lincRNA and five-mRNA based signature for prognosis of multiple myeloma patients undergoing proteasome inhibitors therapy

2019 Biomedicine & Pharmacotherapy
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