Dorin.Comaniciu at siemens.com
Dorin Comaniciu serves as Vice President at Siemens Healthineers, having global responsibility for Medical Imaging Technologies. His team specializes in using large collections of data to build Artificial Intelligence applications for healthcare. His scientific contributions to medical imaging and machine intelligence translated into multiple clinical products focused on improving the quality of care, specifically in the fields of diagnostic imaging, image-guided therapy, and personalized medicine.
A Top Innovator of Siemens, Dr. Comaniciu is a Fellow of IEEE, ACM, Medical Image Computing and Computer Assisted Intervention Society, and American Institute for Medical and Biological Engineering.
The 3D Transesophageal Echo application for heart valve assessment researched by his team was named a top high-technology product by the 2015 R&D 100 Awards, while the Computed Tomography application for rib and spine assessment received the same honor in 2014. Furthermore, the innovations on automated 3D analysis of left ventricle and quantification of 3D color flow Doppler were nominated for the 2011 Young Investigator's Award of the American College of Cardiology and American Society of Echocardiography. Additionally, the aortic valve implantation technology received the 2010 Innovation Award of the European Association for Cardio-Thoracic Surgery.
His team's work on compressed sensing won the 2014 Challenge on Sub-Nyquist Reconstruction of the International Society for Magnetic Resonance in Medicine, allowing MR imaging up to ten times faster without compromising image quality. The first application of this technology, Compressed Sensing Cardiac Cine, enables diagnostic MRI of patients with arrhythmia or of those with respiratory problems. It received the 2017 R&D 100 Award.
Most recently, his team contributed to the first patient positioning system powered by artificial intelligence. A 3D camera captures the patient's shape, positioniong and height in 3D, providing correct isocenter position, right dose modulation, and consistent CT images.
Comaniciu has been featured in the book Innovative Minds and has given multiple keynote talks. A Distinguished Alumnus of Rutgers University's School of Engineering, he received the 2004 Siemens Inventor of the Year Award, 2010 IEEE Longuet-Higgins Prize for 'fundamental contributions to computer vision', and the 2011, 2013, and 2015 Thomas Alva Edison Award for patents on 3D heart modeling, anatomical object detection and personalized valve therapy. He served as the scientific director of the European project Health-e-Child, which was granted the 2008 Europe's Information Society Grand Prize.
Comaniciu is listed on Wikipedia's list of prolific inventors, holding 226 US patents and 500 international patents and patent applications in the areas of machine intelligence, medical imaging and computer vision. He has co-authored more than 300 peer-reviewed publications, including best papers in CVPR and MICCAI, and co-wrote the 2014 book Marginal Space Learning for Medical Image Analysis. His publications have 38,000 citations according to Google Scholar. During his early work in computer vision he introduced a popular family of robust methods for image analysis and tracking based on the iterative procedure Mean Shift.
A graduate of the Advanced Management Program at the University of Pennsylvania's Wharton School, Comaniciu received a doctorate in electrical and computer engineering from Rutgers University and a doctorate in electronics and telecommunications from Polytechnic University of Bucharest.