Dorin Comaniciu

Last updated
Dorin Comaniciu
Born1964 (age 59–60)
Făgăraș, Romania
Awards Longuet-Higgins Prize (2010), IEEE Fellow (2012), ACM Fellow (2017), Elected to National Academy of Medicine (2019)
Scientific career
Fields Machine Intelligence, Diagnostic Imaging, Image-Guided Surgery, Computer Vision
Institutions Siemens, Siemens Healthcare
Website comaniciu.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.

Contents

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

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References

  1. ↑ Comaniciu, D.; Meer, P. (2002). "Mean shift: A robust approach toward feature space analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence. 24 (5): 603–619. doi:10.1109/34.1000236.
  2. ↑ Comaniciu, D.; Ramesh, V.; Meer, P. (2003). "Kernel-based object tracking". IEEE Transactions on Pattern Analysis and Machine Intelligence. 25 (5): 564–577. doi:10.1109/TPAMI.2003.1195991.
  3. ↑ Comaniciu, D.; Engel, K.; Georgescu, B.; Mansi, T. (2016). "Shaping the future through innovations: From medical imaging to precision medicine". Medical Image Analysis. 33: 19–26. arXiv: 1605.02029 . doi:10.1016/j.media.2016.06.016. PMID   27349829.
  4. ↑ Marginal Space Learning for Medical Image Analysis. Springer. 2014.
  5. ↑ Ghesu, Florin C.; Krubasik, Edward; Georgescu, Bogdan; Singh, Vivek; Zheng, Yefeng; Hornegger, Joachim; Comaniciu, Dorin (2016). "Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing". IEEE Transactions on Medical Imaging. 35 (5): 1217–1228. doi:10.1109/TMI.2016.2538802. ISSN   0278-0062. PMID   27046846.
  6. ↑ Publications according to Google Scholar
  7. ↑ US Patents of Dorin Comaniciu
  8. ↑ Worldwide Patents of Dorin Comaniciu
  9. ↑ Zhu, Ying; Comaniciu, Dorin; Pellkofer, Martin; Koehler, Thorsten (2006). "Reliable Detection of Overtaking Vehicles Using Robust Information Fusion". IEEE Transactions on Intelligent Transportation Systems. 7 (4): 401–414. doi:10.1109/TITS.2006.883936. ISSN   1524-9050.
  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. ↑ Ghesu, Florin C.; Georgescu, Bogdan; Mansi, Tommaso; Neumann, Dominik; Hornegger, Joachim; Comaniciu, Dorin (2016). "An Artificial Agent for Anatomical Landmark Detection in Medical Images". Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016. Lecture Notes in Computer Science. Vol. 9902. pp. 229–237. doi:10.1007/978-3-319-46726-9_27. ISBN   978-3-319-46725-2.
  14. ↑ Liao, Rui; Miao, Shun; Pierre de Tournemire; Grbic, Sasa; Kamen, Ali; Mansi, Tommaso; Comaniciu, Dorin (2016). "An Artificial Agent for Robust Image Registration". arXiv: 1611.10336 [cs.CV].
  15. ↑ Ghesu, Florin-Cristian; Georgescu, Bogdan; Zheng, Yefeng; Grbic, Sasa; Maier, Andreas; Hornegger, Joachim; Comaniciu, Dorin (2019). "Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans". IEEE Transactions on Pattern Analysis and Machine Intelligence. 41 (1): 176–189. doi:10.1109/TPAMI.2017.2782687. ISSN   0162-8828. PMID   29990011.
  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; Haas, Jan (2015-07-31). "Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart". PLOS ONE. 10 (7): e0134869. Bibcode:2015PLoSO..1034869K. doi: 10.1371/journal.pone.0134869 . ISSN   1932-6203. PMC   4521877 . PMID   26230546.
  18. ↑ Bone Reading, British Institute of Radiology, 2017
  19. ↑ Ionasec, Razvan Ioan; Voigt, Ingmar; Georgescu, Bogdan; Yang Wang; Houle, Helene; Vega-Higuera, Fernando; Navab, Nassir; Comaniciu, Dorin (2010). "Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE". IEEE Transactions on Medical Imaging. 29 (9): 1636–1651. doi:10.1109/TMI.2010.2048756. ISSN   0278-0062. PMID   20442044.
  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, retrieved 2017-11-13
  25. ↑ "National Academy of Medicine Elects 100 New Members/", National Academy of Medicine, 21 October 2019, retrieved 6 January 2020
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