Lianzhen Zhong
Alibaba Group (Cayman Islands)(KY)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Head and Neck Cancer Studies, Gastric Cancer Management and Outcomes, AI in cancer detection, Colorectal Cancer Screening and Detection
Most-Cited Works
- → Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study(2020)414 cited
- → A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study(2021)123 cited
- → Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter study(2020)89 cited
- → Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma(2019)87 cited
- → Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer(2020)72 cited
- → CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study(2020)68 cited
- → Multiplanar MRI-Based Predictive Model for Preoperative Assessment of Lymph Node Metastasis in Endometrial Cancer(2019)66 cited
- → Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review(2023)61 cited
- → Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions(2019)60 cited
- → A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0(2020)57 cited