Prof. Jinjin Liu, Ph.D.

Position:

· Associate Professor

· Academic Research Supervisor

Institution:

· Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University

Professional Memberships:

1. Member, Artificial Intelligence in Medical Imaging Big Data Committee, Zhejiang

Education:

· 2007–2012: Ph.D. in Biomechanical Engineering, University of Nebraska-Lincoln, USA

Research Areas:

1. Application of Artificial Intelligence Technology in Medicine

2. Medical Imaging Technology

3. Biomechanics

Teaching:

Undergraduate Courses:

· MR Imaging Technology

· Practical Course of Medical Image Processing

· Professional English of Medical Imaging Technology

· CT Imaging Technology

· Ultrasound Imaging Technology

Graduate Courses:

· Advanced Imaging Lectures

Selected Publications:

1. Liu J, Xiong Y, Zhong M, et al. Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling. Neurosurgery. 2020;87(3):523-529.

2. Liu J, Xu H, Chen Q, et al. Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine. EBioMedicine. 2019;43:454-459.

3. Liu J, Chen Y, Lan L, et al. Prediction of rupture risk in anterior communicating artery aneurysms with a feed-forward artificial neural network. Eur Radiol. 2018;28(8):3268-3275.

4. Liu J, Chen Y, Zhu D, et al. A nomogram to predict rupture risk of middle cerebral artery aneurysm. Neurol Sci. 2021;42(12):5289-5296.

5. Liu J, Lan L, Zhou J, et al. Influence of cancellous bone microstructure on ultrasonic attenuation: a theoretical prediction. Biomed Eng Online. 2019;18(1):103.

6. Liu J, Yang Y, Zhao B. Reply to "letter to the editor: use of artificial neural networks to predict anterior communicating artery aneurysm rupture." Eur Radiol. 2019;29(6):3317-3318.

7. Lin L, Liu J, Deng Q, et al. Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia. Front Public Health. 2021;9:663965.

8. Liu J, Chen Y, Xiong Y, et al. Computational hemodynamics study of anterior communicating artery aneurysm associated with fenestration: A case report. Interdiscip Neurosurgery. 2020;19:100563.

9. Chen M, Wang J, Ye T, et al. Successful surgical management of a single coronary artery with giant coronary artery aneurysm. Echocardiography. 2023;40(9):1001-1004.

10. Zheng X, Lin J, Xie J, et al. Evaluation of recurrence risk for stage I invasive lung adenocarcinoma based on (18)F-FDG PET/CT. EJNMMI Res. 2023;13(1):52.

11. Chen Y, Lin L, Deng Q, et al. Coronary artery-bronchial artery fistula imaging characteristics and its correlation with pulmonary disease severity. Heart Vessels. 2022;37(12):2101-2106.

12. Liu J, Xing H, Chen Y, et al. Rupture Risk Assessment for Anterior Communicating Artery Aneurysms Using Decision Tree Modeling. Front Cardiovasc Med. 2022;9:900647.

13. Cao G, Chen W, Sun H, et al. Whole-brain CT perfusion imaging using increased sampling intervals: A pilot study. Exp Ther Med. 2017;14(3):2643-2649.

14. Chen Q, Liu J, Xu H, et al. Association Between Eosinophilic Leukocyte Count and Hematoma Expansion in Acute Spontaneous Intracerebral Hemorrhage. Front Neurol. 2019;10:1164.

15. Chen Q, Xia T, Zhang M, et al. Radiomics in Stroke Neuroimaging: Techniques, Applications, and Challenges. Aging Dis. 2021;12(1):143-154.

16. Chen Q, Zhu D, Liu J, et al. Clinical-radiomics Nomogram for Risk Estimation of Early Hematoma Expansion after Acute Intracerebral Hemorrhage. Acad Radiol. 2021;28(3):307-317.

17. Fu G, Yu H, Liu J, et al. Arc concave sign on thin-section computed tomography: A novel predictor for invasive pulmonary adenocarcinoma in pure ground-glass nodules. Eur J Radiol. 2021;139:109683.

18. Ruan L, Wang Y, Chen SC, et al. Metabolite changes in the ipsilateral and contralateral cerebral hemispheres in rats with middle cerebral artery occlusion. Neural Regen Res. 2017;12(6):931-937.

19. Xia N, Chen J, Zhan C, et al. Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique. Front Neurol. 2020;11:538052.

20. Xia T, Cai M, Zhuang Y, et al. Risk Factors for the Growth of Residual Nodule in Surgical Patients with Adenocarcinoma Presenting as Multifocal Ground-Glass Nodules. Eur J Radiol. 2020;133:109332.

21. Xiang Y, Zhang T, Li Y, et al. Comparison of Ultra-Early Hematoma Growth and Common Noncontrast Computed Tomography Features in Predicting Hematoma Enlargement in Patients with Spontaneous Intracerebral Hemorrhage. World Neurosurg. 2020;134:e75-e81.

22. Xu H, Li Y, Liu J, et al. Dilated Optic Nerve Sheath Diameter Predicts Poor Outcome in Acute Spontaneous Intracerebral Hemorrhage. Cerebrovasc Dis. 2021:1-8.

23. Yao F, Ding J, Hu Z, et al. Ultrasound-based radiomics score: A potential biomarker for the prediction of progression-free survival in ovarian epithelial cancer. Abdom Radiol (NY). 2021;46(10):4936-4945.

24. Ye L, Miao S, Xiao Q, et al. A predictive clinical-radiomics nomogram for diagnosing axial spondyloarthritis using MRI and clinical risk factors. Rheumatology (Oxford).

25. Yue T, Xu HL, Chen PP, et al. Combination of coenzyme Q10-loaded liposomes with ultrasound targeted microbubbles destruction (UTMD) for early theranostics of diabetic nephropathy. Int J Pharm. 2017;528(1-2):664-674.

26. Zhang M, Chen J, Zhan C, et al. Blend Sign Is a Strong Predictor of the Extent of Early Hematoma Expansion in Spontaneous Intracerebral Hemorrhage. Front Neurol. 2020;11:334.

27. Zhao B, Liu J. In Reply: Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling. Neurosurgery. 2021;88(3):E300-E301.

28. Zhao L, Zhao M, Liu J, et al. Mean apparent diffusion coefficient in a single slice may predict tumor response to whole-brain radiation therapy in non-small-cell lung cancer patients with brain metastases. Eur Radiol. 2021;31(8):5565-5575.

29. Zhou J, Chen Y, Xia N, et al. Predicting the formation of mixed pattern hemorrhages in ruptured middle cerebral artery aneurysms based on a decision tree model: A multicenter study. Clin Neurol Neurosurg. 2023;234:108016.

Research Projects

1. Prediction of rupture risk in intracranial aneurysms using AI techniques

2. Radiomics applications in differentiating infectious and neoplastic lung diseases

3. Biomechanical modeling for intracranial hemodynamic studies

Contact:

Email: jinjin.liu@wmu.edu.cn