Icahn School of Medicine at Mount Sinai · Biomedical EngineeringMei Imaging Lab
Xueyan Mei · New York, New York
Research Focus
Dr. Xueyan Mei's lab at the Icahn School of Medicine focuses on improving the diagnosis and management of multiple myeloma, a type of blood cancer, using advanced imaging techniques and artificial intelligence. By developing deep learning models, the lab aims to automate the analysis of medical images to better assess disease progression and tailor treatment for patients. The research combines cutting-edge imaging technologies with clinical data to enhance patient outcomes in a field where effective prognostication can greatly influence treatment strategies.
multiple myelomaartificial intelligencedeep learningmedical imagingdisease prognostication
Research Aims
3AIM 01Develop automated tools for segmenting medical images to identify key biomarkers.
AIM 02Integrate imaging biomarkers with clinical and genetic data to assess patient outcomes.
AIM 03Validate predictive models in real clinical settings to improve patient management strategies.
Skills the Lab Values
MRI analysisautomated image segmentationdeep learning algorithmsclinical data integrationbiomarker assessment
Output against the department
Publications61bottom 8% of dept.550th of 595
this lab
most publishedleast published
Citations7.9ktop 44% of dept.263rd of 595
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.