Research Interests

Image-Guided Surgery

Background

Dr. Ye Li is a Neurosurgeon at Xuanwu Hospital and Lecturer of Surgery at Capital Medical University. In 2013, he received the fellowship from China Scholarship Council to study in Surgical Planning Laboratory of Harvard Medical School. He joined Xuanwu Hospital in 2016 to start his faculty career.

Dr. Li’s clinical practice is focused on image-guided neurosurgery with special interests in surgery for patients with brain tumors, particularly those whose disease is intimately involved with critical brain regions.

Dr. Li’s research involves the development and application of preoperative and intraoperative imaging techniques to optimize surgical treatment of neurosurgical patients with brain tumors. His research is highly translational and uses structural, functional and molecular imaging techniques to improve neurosurgical planning and intraoperative decision-making.  

Education

MD, Ph.D, Nankai University (2016)

Residencies

Xuanwu Hospital / Surgery (2017)

Fellowships

Xuanwu Hospital / Neurosurgery (2020)

Research & Publications

1. Li Y, Chen X, Wang N, Zhang W, Li D, Zhang L, Qu X, Cheng W, Xu Y, Chen W, Yang Q. A wearable mixed-reality holographic computer for guiding external ventricular drain insertion at the bedside. J Neurosurg. 2018 Oct 1:1-8. doi: 10.3171/2018.4.JNS18124. Epub ahead of print. PMID: 30485188.

2. Li Y, Zhang W. Quantitative evaluation of diffusion tensor imaging for clinical management of glioma. Neurosurg Rev. 2020 Jun;43(3):881-891. doi: 10.1007/s10143-018-1050-1. Epub 2018 Nov 12. PMID: 30417213.

3. Li Y, Zhao Y, Zhang J, Zhang Z, Dong G, Wang Q, Liu L, Yu X, Xu B, Chen X. Low-Cost Interactive Image-Based Virtual Endoscopy for the Diagnosis and Surgical Planning of Suprasellar Arachnoid Cysts. World Neurosurg. 2016 Apr;88:76-82. doi: 10.1016/j.wneu.2015.12.038. Epub 2015 Dec 28. PMID: 26732948.

4. Li Y, Chen X, Xu B. The efficacy of neuroendoscopic treatment for middle cranial fossa arachnoid cysts assessed by MRI 3D segmentation and modeling. Childs Nerv Syst. 2014 Jun;30(6):1037-44. doi: 10.1007/s00381-013-2329-8. Epub 2013 Nov 21. PMID: 24258453.