University of Pennsylvania · Mathematics & StatisticsNeuroimaging Data Harmonization Lab
Russell Takeshi Shinohara · Philadelphia, Pennsylvania
Research Focus
Dr. Russell Takeshi Shinohara's lab focuses on developing advanced statistical methods for analyzing brain imaging data. With the rapid increase of multi-site neuroimaging studies, the lab aims to harmonize data from various sources to improve the accuracy and reliability of brain research. The team's work is particularly relevant for creating diagnostic tools for mental health conditions and understanding the relationships between different imaging modalities.
neuroimagingdata harmonizationbiomarkersmachine learningbrain developmentstatistical analysismultimodal imagingpsychopathologyimaging data integration
Research Aims
5AIM 01Develop new statistical methods to harmonize multi-site neuroimaging data.
AIM 02Create robust methodologies for assessing inter-modal coupling in imaging.
AIM 03Investigate the effects of psychopathology within brain networks.
AIM 04Leverage machine learning for improved predictive modeling of brain data.
AIM 05Release user-friendly software for the imaging science community.
Skills the Lab Values
statistical modelingmachine learning techniquesdata harmonizationMRI image analysisphenotype imputationlongitudinal data analysissoftware developmenthigh-dimensional data analysisbrain network analysis
Output against the department
Publications15bottom 2% of dept.129th of 131
this lab
most publishedleast published
Citations140bottom 2% of dept.129th of 131
this lab
most citedleast cited
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