Changjuan Tao

Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma

Li Lin, Qi Dou, Yueming Jin et al. · Radiology · 2019 · 332 citations

Recommendation for a contouring method and atlas of organs at risk in nasopharyngeal carcinoma patients receiving intensity-modulated radiotherapy

Ying Sun, Xiaoli Yu, Wei Luo et al. · Radiotherapy and Oncology · 2014 · 150 citations · Full text

Multi-subject atlas-based auto-segmentation reduces interobserver variation and improves dosimetric parameter consistency for organs at risk in nasopharyngeal carcinoma: A multi-institution clinical study

Changjuan Tao, Junlin Yi, Nian‐Yong Chen et al. · Radiotherapy and Oncology · 2015 · 104 citations

Radiation Oncology, Multi-institution Clinical Study, Engineering +12

FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images

Yunhe Gao, Rui Huang, Yiwei Yang et al. · Medical Image Analysis · 2020 · 93 citations · Full text

Image Analysis, Machine Learning, Deep Learning +14

Nutritional Status and Its Association With Radiation-Induced Oral Mucositis in Patients With Nasopharyngeal Carcinoma During Radiotherapy: A Prospective Study

Zekai Shu, Ziyi Zeng, Bingqi Yu et al. · Frontiers in Oncology · 2020 · 40 citations · Full text