
Dr. Geoffrey Rubin has been named chair of the department of medical imaging at the University of Arizona (UArizona) College of Medicine. The appointment is effective October 1.
Dr. Geoffrey Rubin.Rubin previously was with Duke University, where he was the George B. Geller Distinguished Professor of Research in Cardiovascular Diseases and a professor of radiology. Rubin also had an appointment at Duke's school of engineering as professor of biomedical engineering. Rubin was with Duke for 10 years, and he served for a time as its chair of radiology.
Prior to Duke, Rubin was at Stanford University, where he conducted pioneering research on the development of spiral and multidetector-row CT for cardiovascular imaging. He conducted some of the earliest research on CT angiography, founded the Stanford 3-D Medical Imaging Laboratory in 1996, and served as the laboratory's medical director until he left Stanford for Duke in 2010.
Rubin is perhaps best known for his work with the International Society for Computed Tomography (ISCT) and its annual meeting on multidetector-row CT, where he is president and board chair. Rubin also won the Minnie award for Most Effective Radiology Educator in 2008.
"I am excited to partner with the distinguished faculty of physicians and scientists to build upon the UArizona's legacy of excellence in medical imaging and provide excellent and compassionate healthcare to the Tucson community," Rubin said in a press statement.
















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)



