Shenghong Ju
Zhongda Hospital Southeast University(CN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Advanced MRI Techniques and Applications, Nanoplatforms for cancer theranostics, Hepatocellular Carcinoma Treatment and Prognosis, Liver Disease Diagnosis and Treatment
Most-Cited Works
- → Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising(2018)263 cited
- → Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model(2023)202 cited
- → Altered Spontaneous Brain Activity in Type 2 Diabetes: A Resting-State Functional MRI Study(2013)198 cited
- → Seipin ablation in mice results in severe generalized lipodystrophy(2011)187 cited
- → Machine learning-based CT radiomics method for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: a multicenter study(2020)180 cited
- → Overcoming the Blood–Brain Barrier for Delivering Drugs into the Brain by Using Adenosine Receptor Nanoagonist(2014)161 cited
- → Stimuli-Responsive Polymeric Nanoplatforms for Cancer Therapy(2021)138 cited
- → Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study(2020)135 cited
- → Aberrant Brain Functional Connectivity Related to Insulin Resistance in Type 2 Diabetes: A Resting-State fMRI Study(2014)129 cited
- → Biodegradable Metal–Organic‐Framework‐Gated Organosilica for Tumor‐Microenvironment‐Unlocked Glutathione‐Depletion‐Enhanced Synergistic Therapy(2021)124 cited