Shangqing Liu

AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?

Jun Ma, Yao Zhang, Song Gu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2021 · 373 citations · Full text

Organ Segmentation Benchmarks, Convolutional Neural Network, Engineering +26

Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning

Shujun Liang, Fan Tang, Xia Huang et al. · European Radiology · 2018 · 141 citations

Radiation Oncology, Image Analysis, Machine Learning +15

Automatic Pancreas Segmentation via Coarse Location and Ensemble Learning

Shangqing Liu, Xinrui Yuan, Runyue Hu et al. · IEEE Access · 2019 · 60 citations · Full text

Convolutional Neural Network, Medical Image Segmentation, Engineering +24

Developed and validated a prognostic nomogram for recurrence-free survival after complete surgical resection of local primary gastrointestinal stromal tumors based on deep learning

Tao Chen, Shangqing Liu, Yong Li et al. · EBioMedicine · 2018 · 48 citations · Full text

Surgical Oncology, Engineering, Machine Learning +25

Multi-modal analysis for accurate prediction of preoperative stage and indications of optimal treatment in gastric cancer

Shangqing Liu, Weiqi Liang, Pinyu Huang et al. · La radiologia medica · 2023 · 20 citations

Multi-modal Analysis, Surgical Oncology, Esophageal Cancer +12