Dorin Comaniciu

Last updated
Dorin Comaniciu
Born1964 (age 6061)
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 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 65,000 citations with an H-index of 107. [6] As of 2024, he holds 343 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

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. Bibcode:2002ITPAM..24..603C. 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. Bibcode:2003ITPAM..25..564C. 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. Bibcode:2016ITMI...35.1217G. 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. Bibcode:2006ITITr...7..401Z. 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. Bibcode:2019ITPAM..41..176G. 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. Bibcode:2010ITMI...29.1636I. 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. Lewis, Talia (21 October 2019), "National Academy of Medicine Elects 100 New Members/", National Academy of Medicine, retrieved 6 January 2020