The research interests of Bradley J. Erickson, M.D., Ph.D., include computer-aided diagnosis and the use of computer technologies to extract information from medical images for diagnostic, prognostic and therapeutic purposes. This includes the development and validation of algorithms that can detect progression or regression of brain cancer and multiple sclerosis as well as of non-neurologic diseases such as polycystic kidney disease (PKD).
Dr. Erickson is also actively developing a system to promote team science, initially focusing on imaging-focused research, but with connections to genomics, pathology and clinical data.
- Quantitative imaging network. Work in this area involves applying quantitative methods to better characterize and treat cancer.
- Computer-aided diagnosis. Dr. Erickson is using machine-learning and deep-learning methods to determine the most important information in images and reliably apply that information to the care of patients.
- Polycystic kidney disease. Imaging is used to measure and characterize the nature and progression of PKD.
- PESSCARA. Dr. Erickson is developing the cloud-based system Platform to Enable the Sharing of Scientific Computing Algorithms and Research Assets (PESSCARA) to promote sharing of information among medical professionals.
Significance to patient care
Medical images have a wealth of information in them. Radiologists are responsible for extracting that information. The focus of much of Dr. Erickson's research is to make radiologists better at extracting and understanding that information, making it more efficient, reliable and consistent.
- Board member, American Board of Imaging Informatics (ABII), 2013-present
- Lecturer, Samuel J. Dwyer III, Ph.D., FSIIM Memorial Lectures, Society for Imaging Informatics in Medicine (SIIM), 2013
- Chairman, SIIM, 2008-2010