Di Dong

8PUBLICATIONS
14CO-AUTHORS
Cancer diagnosisCancer therapy (excl. chemotherapy and radiation therapy)Context learningPredictive and prognostic markersEpidemiological modelling
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Publications (8)

|Aug 05, 2026
Radiomics using generative adversarial network enhanced non-contrast computed tomography for gastric cancer diagnosis.

|Sep 10, 2025
Artificial intelligence in medical imaging empowers precision neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma.

Jia Fu, Xiaoying Huang, Mengjie Fang

|Mar 28, 2025
PCRFed: personalized federated learning with contrastive representation for non-independently and identically distributed medical image segmentation.

Shengyuan Liu, Ruofan Zhang, Mengjie Fang

|Apr 19, 2024
Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma.

Da-Feng Lin, Hai-Lin Li, Ting Liu

|Nov 30, 2023
Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma.

Hailin Li, Weiyuan Huang, Siwen Wang

|Aug 13, 2023
Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer.

Shengyuan Liu, Jingyu Deng, Di Dong

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Frequent Collaborators

3 joint publications

Jie Tian

1 joint publications

Yujia Liu

1 joint publications

Hui Duan

1 joint publications

Jiaming Chen