Dorin Comaniciu
Dorin Comaniciu | |
|---|---|
| Born | 1964 (age 59–60) |
| Awards | Longuet-Higgins Prize (2010), IEEE Fellow (2012), ACM Fellow (2017) |
| Scientific career | |
| Fields | Machine Intelligence, Diagnostic Imaging, Image-Guided Surgery, Computer Vision |
| Institutions | Siemens, Siemens Healthcare |
| Website | comaniciu |
Dorin Comaniciu (born 1964) is a Romanian-American computer scientist, Vice President of Medical Imaging Technologies at Siemens Healthcare.
Research
Comaniciu is best known for his work in computer vision,[1][2] medical imaging[3][4] and machine learning.[5][6] His academic publications have 36,000 citations.[7]. As of 2017 he holds 222 US patents [8] and 483 international patent applications [9]. He joined Siemens in 1999 as a senior research scientist, with a focus on computer vision applications for automotive systems.[10] Since 2004 he has served in various research and leadership positions, directing technology development in diagnostic imaging[11][12][13][14] and image-guided surgery.[15][16] Most recently, his team's research is on artificial agents [17] [18][19] and hyper-realistic visualization [20]
Education
Comaniciu studied for a PhD in electronics and telecommunications at the Polytechnic University of Bucharest, which was awarded in 1995 and supervised by Victor Neagoe. In 1999 he received a second PhD in electrical and computer engineering, with the thesis on robust statistics for computer vision, from Rutgers University under the supervision of Peter Meer. In 2011 he graduated the Advanced Management Program at the University of Pennsylvania's Wharton School.
Awards and honors
- IEEE Fellow 2012, for contributions to medical image analysis and computer vision
- AIMBE Fellow 2013, for technical contributions to medical imaging using machine learning, and for leadership in imaging technology [21]
- MICCAI Fellow 2015, for contributions to the theory and practice of medical imaging and image-guided interventions [22]
- ACM Fellow 2017[23]
- CVPR Best Paper Award 2000 (together with Visvanathan Ramesh and Peter Meer)
- IEEE Longuet-Higgins Prize 2010, for 'Fundamental contributions in Computer Vision'
References
- ^ Mean shift: a robust approach toward feature space analysis, IEEE PAMI 2002
- ^ Kernel-based object tracking, IEEE PAMI 2003
- ^ Shaping the future through innovations: From medical imaging to precision medicine, Medical Image Analyis, Vol 33, pp 19-26, 2016
- ^ Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE, IEEE TMI, 2010
- ^ Marginal Space Learning for Medical Image Analysis, Springer, 2014
- ^ Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing, IEEE TMI, 2016
- ^ Publications according to Google Scholar
- ^ US Patents of Dorin Comaniciu
- ^ Worldwide Patents of Dorin Comaniciu
- ^ Reliable Detection of Overtaking Vehicles Using Robust Information Fusion, IEEE Transactions on Intelligent Transportation Systems, 2006
- ^ Princeton inventor refines computer vision technology for doctors, wins recognition for work, NJ.COM, 2011
- ^ Siemens Showcases a New Level of Echocardiography, DOTmed, 2006
- ^ Bone Reading, British Institute of Radiology, 2017
- ^ Compressed Sensing, Imaging Technology News, 2017
- ^ Siemens Wins 2010 Techno-College Innovation Award, European Association for Cardio-Thoracic Surgery
- ^ Getting to the Heart of Visualization, R&D Magazine, 2015
- ^ An Artificial Agent for Anatomical Landmark Detection in Medical Images, MICCAI 2016
- ^ An Artificial Agent for Robust Image Registration, AAAI 2017
- ^ Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans, IEEE PAMI 2018
- ^ Medical Imaging Goes to the Movies, Undark 2016
- ^ AIMBE citation
- ^ MICCAI citation
- ^ ACM Recognizes 2017 Fellows for Making Transformative Contributions and Advancing Technology in the Digital Age, Association for Computing Machinery, December 11, 2017, retrieved 2017-11-13