Oncology | Radiology Deep learning-based recurrence detector on magnetic resonance scans in nasopharyngeal carcinoma: A multicenter study. September 18, 2023
Medical Imaging | Oncology | Otorhinolaryngology Deep learning for real-time detection of nasopharyngeal carcinoma during nasopharyngeal endoscopy. September 18, 2023
Oncology | Radiology Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-institutional Patient-based Data Normalization. August 25, 2023
Medical Imaging | Oncology | Radiation Oncology Prognosis Forecast of Re-irradiation for Recurrent Nasopharyngeal Carcinoma based on Deep Learning Multi-modal Information Fusion. June 29, 2023
Oncology | Radiology MRI-based deep learning model predicts distant metastasis and chemotherapy benefit in stage II nasopharyngeal carcinoma. June 28, 2023
Oncology | Radiology A deep learning MRI-based signature may provide risk-stratification strategies for nasopharyngeal carcinoma. June 26, 2023
Medical Imaging | Oncology | Radiology Deep learning for the prediction of residual tumor after radiotherapy and treatment decision-making in patients with nasopharyngeal carcinoma based on magnetic resonance imaging. June 7, 2023
Oncology | Radiology The Efficacy of Pretreatment F-FDG PET-CT-Based Deep Learning Network Structure to Predict Survival in Nasopharyngeal Carcinoma. May 30, 2023
Oncology | Radiation Oncology Young oncologists benefit more than experts from deep learning-based organs-at-risk contouring modeling in nasopharyngeal carcinoma radiotherapy: A multi-institution clinical study exploring working experience and institute group style factor. May 30, 2023
Oncology | Radiology AI-assisted compressed sensing and parallel imaging sequences for MRI of patients with nasopharyngeal carcinoma: comparison of their capabilities in terms of examination time and image quality. May 23, 2023
Medical Imaging | Oncology | Radiology Application of Artificial Intelligence to the Diagnosis and Therapy of Nasopharyngeal Carcinoma. May 13, 2023
Medical Imaging | Oncology | Radiology MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation. April 28, 2023