Gerd Brunner, M.S., Ph.D., Faha, Facc Email & Phone Number

Hershey, Pennsylvania

My laboratory (Cardiovascular Imaging Research and Data Sciences Laboratory (CVIR-DSL) has moved to Penn State in 2019. At the CVIR-DSL, we utilize biomedical data science and imaging modalities to study atherosclerosis and cardiovascular disease.The CVIR-DSL has received generous support from the National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH; R01HL137763, K25 HL121149), and the Penn State Heart and Vascular Institute and Pennsylvania State University College of Medicine.

I have trained and worked as a Data Scientist (PhD) and as an cardiovascular imaging scientist. I am the Principal Investigator of the Cardiovascular Imaging Research and Data Sciences Laboratory (CVIR-DSL) at Baylor College of Medicine. My laboratory utilizes biomedical data science and imaging modalities to study atherosclerosis and cardiovascular disease. Peripheral arterial disease (PAD) is a malignant form of atherosclerosis that is associated with an increased risk of atherothrombotic cardiovascular events and mortality. Magnetic resonance imaging (MRI) and ultrasonography imaging are free of ionizing radiation and are excellent imaging modalities to study PAD and atherosclerosis. My research interests include the study of PAD using MR imaging. I utilize novel MR imaging protocols to assess atherosclerosis and implement image analysis and machine learning algorithms to develop imaging markers for translational clinical studies. My laboratory has received funding from the National Institutes of Health (NIH), American Heart Association (AHA), Caroline Wiess Law Foundation, and Burroughs Wellcome Fund (BWF).Selected recent publications:1. Hassan Kamran, Vijay Nambi, Smita Negi, Eric Y. Yang, Changyi Chen, Salim S. Virani, Panagiotis Kougias, Alan B. Lumsden, Joel D. Morrisett, Christie M. Ballantyne, Gerd Brunner. American Journal of Cardiology 2016 (in press). Published online: August 12, 2016.2. Brunner G, Bismuth J, Nambi V, Ballantyne CM, Taylor A, Lumsden AB, Morrisett JD, Shah DJ. Calf muscle perfusion as measured with magnetic resonance imaging to assess peripheral arterial disease. Medical & Biological Engineering & Computing. First online: 23 February 2016.3. Han RI, Wheeler TM, Lumsden AB, Reardon MJ, Lawrie GM, Grande-Allen JK, Morrisett JD, Brunner G. Morphometric analysis of calcification and fibrous layer thickness in carotid endarterectomy tissues. Computers in Biology and Medicine. 2016 Mar;70:210-219.

-Performed research in atherosclerosis and magnetic resonance imaging (MRI)-Developed image analysis, machine learning, and data classification algorithms to assess peripheral artery disease (PAD)

My work focused around the areas of biomedical image analysis, cardiovascular informatics, statistics, machine learning, pattern recognition and biomedical data mining.

- Pursued and completed a Ph.D. in computer science (pattern recognition, image processing, content-based image retrieval)- Project management duties. Coordinated the work of up to 5 persons and reported to my supervisor - Teaching of several courses

Doctor Of Philosophy (Ph.D.)

Activities and Societies: IEEE, IAPR, DAGMMy work was performed at the Chair of Pattern Recognition and Image Processing, Department.

Master Of Natural Sciences (M.Sc.)

My work was performed at the Division of Geophysics, Astrophysics und Meteorology (IGAM), Institute of Physics, Faculty of Natural.