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Dorin Comaniciu serves as Senior Vice President for Artificial Intelligence and Digital Innovation at Siemens Healthineers. His scientific contributions to computational imaging and machine intelligence have translated to multiple clinical products focused on improving the quality of care, specifically in the fields of diagnostic imaging, image-guided therapy, and precision medicine.
Dr. Comaniciu is a member of the U.S. National Academy of Medicine and the Romanian Academy. He is a Top Innovator of Siemens and a Fellow of the IEEE, ACM, Medical Image Computing and Computer Assisted Intervention Society, and American Institute for Medical and Biological Engineering. Recent recognition of his work includes an honorary doctorate from the Friedrich-Alexander University of Erlangen-Nuremberg.
Here are a couple of highlights of the translational innovation of Dr. Comaniciu and team:
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Intelligent CT Emergency Imaging with myExam Companion received RD100 Award 2022. AI-based tools help radiologists prioritize brain hemorrhage cases, depict skull fractures and hematomas, speeding up care for emergency patients.
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Deep Resolve Boost, an AI-powered raw data-to-image reconstruction technology that enables accelerated image acquisition with high signal-to-noise scans. It won the EuroMinnies 2023 for the Best New Radiology Software. MRI scans can be much faster, boosting workflow efficiency, while improving patient comfort. Youtube video highlighting the speed and image quality of Deep Resove Boost.
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Organs-at-risk contouring for Radiation Therapy automatically contours 150+ organs and anatomies at risk from CT images, during radiation therapy planning. It received the 2021 R&D 100 Award.
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CT Pneumonia Analysis COVID-19, a research software deployed at 485 sites in 50+ countries that automatically quantifies abnormal CT patterns commonly present in COVID-19 disease, namely ground glass opacities and consolidations. Developed in collaboration with multiple frontline hospitals.
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A new family of AI-powered applications: AI-Rad Companion Chest CT, Chest X-Ray, and Prostate MR. AI-Rad Companion Chest CT received the 2020 R&D 100 Award and 2020 Market Disruptor Gold Award.
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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. This innovation received the 2020 R&D 100 Award.
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Compressed Sensing Cardiac Cine, a software that enables diagnostic MRI of patients with arrhythmia or of those with respiratory problems. The technology won the 2014 Challenge on Sub-Nyquist Reconstruction of the International Society for Magnetic Resonance in Medicine and received the 2017 R&D 100 Award. It allows MR imaging up to ten times faster without compromising image quality.
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eSie Valves, a 3D Transesophageal Echo application for heart valve assessment, was named a top high-technology product by the 2015 R&D 100 Awards. The automated valve modeling fuels comprehensive understanding of mitral and aortic valve anatomy and function within seconds for increased confidence and decreased procedure time.
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syngo.CT Bone Reading application for rib and spine assessment speeds up the reading process in multiple trauma cases with automated rib and spine labeling. It received the 2014 R&D 100 Award.
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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.
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The aortic valve implantation technology received the 2010 Innovation Award of the European Association for Cardio-Thoracic Surgery. The next generation of this technology powers the syngo TrueFusion application that adds the relevant anatoimical and functional information from True Volume TEE to live fluoroscopy.
Comaniciu is listed on Wikipedia's list of prolific inventors with more than 550 granted patents (343 US and 237 international) in the areas of machine intelligence, medical imaging and computer vision. He has co-authored 350 peer-reviewed publications, including best papers in CVPR and MICCAI, co-wrote the book Marginal Space Learning for Medical Image Analysis, and co-edited Artificial Intelligence for Computational Modeling of the Heart. His publications have 65,000 citations with an H-index of 105 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.
Dorin is advocate for technology innovation that enhances and saves lives. He supports the Annual Prize for the best STEM Olympiad results at his former high school Radu Negru in Romania.
Integrated Diagnostics: From Patient Twinning to Precision Therapy, Presentation at National Academies, Washington DC, 2023
