
SCMIA applies computational methods to quantify and interpret medical images for research. It focuses on neuroimaging (MRI), neuromusculoskeletal imaging, and breast ultrasound, using volumetric analysis, diffusion MRI, connectomics, radiomics, statistics, and deep neural networks. Core technology includes MRI, deep neural networks, NVIDIA GPUs, and cloud infrastructure (AWS) to process and analyze large imaging datasets. The center collaborates with research institutions and healthcare providers to translate techniques from labs into clinical insights.

SCMIA applies computational methods to quantify and interpret medical images for research. It focuses on neuroimaging (MRI), neuromusculoskeletal imaging, and breast ultrasound, using volumetric analysis, diffusion MRI, connectomics, radiomics, statistics, and deep neural networks. Core technology includes MRI, deep neural networks, NVIDIA GPUs, and cloud infrastructure (AWS) to process and analyze large imaging datasets. The center collaborates with research institutions and healthcare providers to translate techniques from labs into clinical insights.