Last Posted: Sep 07, 2021
- A convolutional neural network combined with positional and textural attention for the fully automatic delineation of primary nasopharyngeal carcinoma on non-contrast-enhanced MRI.
Wong Lun M et al. Quantitative imaging in medicine and surgery 2021 11(9) 3932-3944
- A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study.
Zhong Lianzhen et al. EBioMedicine 2021 70103522
- Radiomics Model to Predict Early Progression of Nonmetastatic Nasopharyngeal Carcinoma after Intensity Modulation Radiation Therapy: A Multicenter Study.
Du Richard et al. Radiology. Artificial intelligence 2019 1(4) e180075
- A Prognostic Predictive System Based on Deep Learning for Locoregionally Advanced Nasopharyngeal Carcinoma.
Qiang Mengyun et al. Journal of the National Cancer Institute 2020 Sep
- Combination of RERG and ZNF671 methylation rates in circulating cell-free DNA: A novel biomarker for screening of nasopharyngeal carcinoma.
Xu Yifei et al. Cancer science 2020 Jul 111(7) 2536-2545
- Germline Polymorphisms and Length of Survival of Nasopharyngeal Carcinoma: An Exome-Wide Association Study in Multiple Cohorts.
Guo Yun-Miao et al. Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2020 May 7(10) 1903727
- Clinical utility of serial analysis of circulating tumour cells for detection of minimal residual disease of metastatic nasopharyngeal carcinoma.
Ko Josephine Mun-Yee et al. British journal of cancer 2020 May
- Computer-Aided Pathological Diagnosis of Nasopharyngeal Carcinoma Based on Deep Learning.
Diao Songhui et al. The American journal of pathology 2020 Apr
- Effect of machine learning re-sampling techniques for imbalanced datasets in 18 F-FDG PET-based radiomics model on prognostication performance in cohorts of head and neck cancer patients.
Xie Chenyi et al. European journal of nuclear medicine and molecular imaging 2020 Apr
- Fully-Automated Segmentation of Nasopharyngeal Carcinoma on Dual-Sequence MRI Using Convolutional Neural Networks.
Ye Yufeng et al. Frontiers in oncology 2020 10166
- Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma Prognosis.
Cui Chunyan et al. BioMed research international 2020 20208068913
- Systematic review and meta-analysis of prognostic microRNA biomarkers for survival outcome in nasopharyngeal carcinoma.
Sabarimurugan Shanthi et al. PloS one 2019 14(2) e0209760
- Molecular Screening of Nasopharyngeal Carcinoma: Detection of LMP-1, LMP-2 Gene Expression in Vietnamese Nasopharyngeal Swab Samples.
Lao Thuan Duc et al. Asian Pacific journal of cancer prevention : APJCP 2019 20(9) 2757-2761
- The four‑microRNA signature identified by bioinformatics analysis predicts the prognosis of nasopharyngeal carcinoma patients.
Zhang Siwei et al. Oncology reports 2019 Sep
- Translational Genomics of Nasopharyngeal Cancer.
Tsang Chi Man et al. Seminars in cancer biology 2019 Sep
- Clinical features and survival outcomes between ascending and descending types of nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data intelligence platform-based analysis.
Yao Ji-Jin et al. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 2019 May 137137-144
- Survival impact of radiotherapy interruption in nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data intelligence platform-based analysis.
Yao Ji-Jin et al. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 2019 132178-187
- Applications of CRISPR systems in respiratory health: Entering a new 'red pen' era in genome editing.
Moses Colette et al. Respirology (Carlton, Vic.) 2019 Mar
- Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study.
Tang Xin-Ran et al. The Lancet. Oncology 2018 19(3) 382-393
- Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.
Lin Li et al. Radiology 2019 291(3) 677-686
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- Alpha-1 Antitrypsin Deficiency
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