Yajing Zhu
Jiangnan University(CN)Sensimetrics Corporation(US)Jiangsu Institute of Parasitic Diseases(CN)Shanghai Changzheng Hospital(CN)Group Sense (China)(CN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Hepatocellular Carcinoma Treatment and Prognosis, Cancer survivorship and care, Palliative Care and End-of-Life Issues, Liver Disease Diagnosis and Treatment
Most-Cited Works
- → Deep learning assisted differentiation of hepatocellular carcinoma from focal liver lesions: choice of four-phase and three-phase CT imaging protocol(2020)72 cited
- → Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study(2018)52 cited
- → A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma(2022)36 cited
- → Joint use of the radiomics method and frozen sections should be considered in the prediction of the final classification of peripheral lung adenocarcinoma manifesting as ground-glass nodules(2019)26 cited
- → CT-Based Radiomics for the Recurrence Prediction of Hepatocellular Carcinoma After Surgical Resection(2022)23 cited
- → Saliency-based 3D convolutional neural network for categorising common focal liver lesions on multisequence MRI(2021)