Department of Neurosurgery, Oxford University Hospitals - United Kingdom. Are cardiovascular disease risk assessment and management programmes cost effective? A systematic review of the evidence....

By using diffusion and resting-state MRI we can identify imaging markers associated with surgical injury and computationally model the effects of surgery on network function. I hope to predict preoperatively the effect of surgery on postoperative cognition.

My PhD studies the impact of surgery on cognition and tumour networks using advanced neuroimaging. Prior to starting doctoral training at the University of Cambridge, I...

Yizhou Wan's 18 research works with 51 citations and 1,886 reads, including: Neuro–bone tissue engineering: emerging mechanisms, potential strategies, and current challenges

1996年于清华大学获得学士学位，2005年从加州大学洛杉矶分校 (UCLA)获得计算机科学博士学位，同年被美国Xerox Palo Alto研究中心 (Xerox PARC)聘为研究员，2007年12月加入北京大学计算机学院数字媒体研究所。 主要研究领域. 计算机视觉/人工智能、统计建模与计算、认知计算. 主要 …

Nov 21, 2024 · Recent advancements in neuroimaging and machine learning have significantly improved our ability to diagnose and categorize isocitrate dehydrogenase (IDH)-wildtype glioblastoma, a disease characterized by notable tumoral heterogeneity, which is crucial for effective treatment.

Yizhou Wan practices in Cambridge, United Kingdom. Their top areas of expertise are Glioblastoma, Astrocytoma, Epidural Hematoma, and Glioma. Their clinical research consists of co-authoring 11 peer reviewed articles.

Incidence and presentation of vestibular schwannoma: a 3-year cohort registry study. (1 publications for this researcher) Symplectic Elements feed provided by Research Information, University of Cambridge.

Yizhou Wan University of Cambridge: Cambridge, Cambridgeshire, GB 2016-12-01 to 2017-08-01 | Clinical Research Associate (Neurological Surgery)

Mar 21, 2025 · Guixiong Huang, Weilin Zhu, Yulong Wang, Yizhou Wan, Kaifang Chen, Yanlin Su, Weijie Su, Lianxin Li, Pengran Liu, Xiao dong Guo: Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients? BMC Medical Informatics Decis. Mak. 25 (1): 127 (2025)