Dr. Ruokun Li | Medical Imaging | Research Excellence Award
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine | China
Dr. Ruokun Li is a Professor and Chief Physician in the Department of Radiology at Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and a leading expert in advanced medical imaging. He holds a PhD in Imaging and Nuclear Medicine and specializes in liver imaging, with particular expertise in magnetic resonance elastography, quantitative MRI, and artificial intelligence–driven imaging analysis. He has led numerous nationally and provincially funded research projects and has authored more than 40 peer-reviewed SCI-indexed publications, achieving a strong citation impact. His research integrates imaging physics, biomechanics, radiomics, and explainable deep learning to enable noninvasive diagnosis, risk stratification, and prognosis of liver diseases, including hepatocellular carcinoma. Actively engaged in academic–industry collaboration, he has contributed to the development of intelligent imaging platforms, digital twin systems for imaging education, and simulation-based solutions with national recognition. Dr. Li has edited, co-edited, or translated over 15 academic books in radiology and MRI technology and holds multiple invention patents in multimodal image segmentation, low-dose imaging, and predictive AI models. He serves on editorial boards of several radiology journals and holds leadership roles in international and national professional societies related to magnetic resonance and radiology, fostering global collaboration and clinical translation of innovative imaging technologies.
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Featured Publications
An Explainable Deep Learning Model for Focal Liver Lesion Diagnosis Using Multiparametric MRI
– Radiology: Artificial Intelligence
Preoperative Multifrequency MR Elastography for Stratifying Wnt/β-Catenin Pathway and Microvascular Invasion Phenotypes in Hepatocellular Carcinoma
– Journal of Magnetic Resonance Imaging
A Biphasic Nanoplatform with Switchable Biochemical Programs for Combined Organelle-Specific Cancer Therapy
– Chemical Engineering Journal
Blood Markers for Type-1, -2, and -3 Inflammation Are Associated with Severity of Acutely Decompensated Cirrhosis
– Journal of Hepatology ·
A Nanoplatform for Reversing the Tumor Immunosuppressive Microenvironment Based on NIR-II Gold Hollow Nanorods for the Treatment of Hepatocellular Carcinoma
– Small