Biography:Dorin Comaniciu

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Short description: Romanian-American computer scientist
Dorin Comaniciu
Born
Făgăraș, Romania
AwardsLonguet-Higgins Prize (2010), IEEE Fellow (2012), ACM Fellow (2017), Elected to National Academy of Medicine (2019)
Scientific career
FieldsMachine Intelligence, Diagnostic Imaging, Image-Guided Surgery, Computer Vision
InstitutionsSiemens, Siemens Healthcare
Websitecomaniciu.net

Dorin Comaniciu (born 1964) is a Romanian-American computer scientist. He is the Senior Vice President of Artificial Intelligence and Digital Innovation at Siemens Healthcare.

Research

Comaniciu is known for his work in computer vision,[1][2] medical imaging[3] and machine learning.[4][5] His academic publications have 54,000 citations with an H-index of 85.[6] As of 2022, he holds 308 US patents[7] and 550 international patent applications.[8] He joined Siemens in 1999 as a senior research scientist with a focus on computer vision applications for automotive systems.[9] Since 2004, he has served in various research and leadership positions, directing technology development in diagnostic imaging[10][11] and image-guided surgery[12]

Most recently, his team's research has focused on artificial intelligence,[13][14][15] hyper-realistic visualization,[16] and precision medicine.[17]

Together with his team and clinical collaborators, he has helped pioneer many clinical products, including efficient bone reading,[18] vascular analysis, cardiac function assessment, trans-esophageal 3D heart valve assessment,[19] guidance for aortic valve implantation,[20] enhanced stent visualization, compressed sensing for Magnetic Resonance,[21] and automatic patient positioning for Computed Tomography.

Awards and honors

  • Institute of Electrical and Electronics Engineers (IEEE) Conference on Computer Vision and Pattern Recognition (CVPR) Best Paper Award 2000 (together with Visvanathan Ramesh and Peter Meer)
  • IEEE Longuet-Higgins Prize 2010, for 'Fundamental contributions in Computer Vision'
  • IEEE Fellow 2012, for contributions to medical image analysis and computer vision
  • American Institute for Medical and Biological Engineering (AIMBE) Fellow 2013, for technical contributions to medical imaging using machine learning, and for leadership in imaging technology[22]
  • Medical Image Computing and Computer-Assisted Interventions (MICCAI) Society Fellow 2015, for contributions to the theory and practice of medical imaging and image-guided interventions[23]
  • Association for Computing Machinery (ACM) Fellow 2017, for contributions to machine intelligence, diagnostic imaging, image-guided interventions, and computer vision[24]
  • Honorary doctorate awarded in 2018 from Titu Maiorescu University, Romania
  • Member of the National Academy of Medicine 2019[25]

References

  1. ↑ Mean shift: a robust approach toward feature space analysis, IEEE PAMI 2002
  2. ↑ Kernel-based object tracking, IEEE PAMI 2003
  3. ↑ Shaping the future through innovations: From medical imaging to precision medicine, Medical Image Analysis, Vol 33, pp 19-26, 2016
  4. ↑ Marginal Space Learning for Medical Image Analysis, Springer, 2014
  5. ↑ Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing, IEEE TMI, 2016
  6. ↑ Publications according to Google Scholar
  7. ↑ US Patents of Dorin Comaniciu
  8. ↑ Worldwide Patents of Dorin Comaniciu
  9. ↑ Reliable Detection of Overtaking Vehicles Using Robust Information Fusion, IEEE Transactions on Intelligent Transportation Systems, 2006
  10. ↑ Princeton inventor refines computer vision technology for doctors, wins recognition for work, NJ.COM, 2011
  11. ↑ Siemens Showcases a New Level of Echocardiography, DOTmed, 2006
  12. ↑ Getting to the Heart of Visualization, R&D Magazine, 2015
  13. ↑ An Artificial Agent for Anatomical Landmark Detection in Medical Images, MICCAI 2016
  14. ↑ An Artificial Agent for Robust Image Registration, AAAI 2017
  15. ↑ Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans, IEEE PAMI 2018
  16. ↑ Medical Imaging Goes to the Movies, Undark 2016
  17. ↑ Kayvanpour, Elham; Mansi, Tommaso; Sedaghat-Hamedani, Farbod; Amr, Ali; Neumann, Dominik; Georgescu, Bogdan; Seegerer, Philipp; Kamen, Ali et al. (2015-07-31). "Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart". PLOS ONE 10 (7): e0134869. doi:10.1371/journal.pone.0134869. ISSN 1932-6203. PMID 26230546. Bibcode: 2015PLoSO..1034869K. 
  18. ↑ Bone Reading, British Institute of Radiology, 2017
  19. ↑ Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE, IEEE TMI, 2010
  20. ↑ Siemens Wins 2010 Techno-College Innovation Award, European Association for Cardio-Thoracic Surgery
  21. ↑ Compressed Sensing, Imaging Technology News, 2017
  22. ↑ AIMBE citation
  23. ↑ title MICCAI Fellows
  24. ↑ ACM Recognizes 2017 Fellows for Making Transformative Contributions and Advancing Technology in the Digital Age, Association for Computing Machinery, December 11, 2017, https://www.acm.org/media-center/2017/december/fellows-2017, retrieved 2017-11-13 
  25. ↑ National Academy of Medicine Elects 100 New Members/, 21 October 2019, https://nam.edu/national-academy-of-medicine-elects-100-new-members, retrieved 6 January 2020 



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