Dorin Comaniciu
mmádu
ụdịekerenwoke Dezie
ụbọchị ọmụmụ ya1964 Dezie
Ebe ọmụmụFăgăraș Dezie
ọrụ ọ na-arụọkà mmụta sayensị kọmputa, researcher Dezie
ebe agụmakwụkwọThe Wharton School Dezie
Onye òtù nkeAssociation for Computing Machinery Dezie
Ihe nriteACM Fellow, Fellow of the American Institute for Medical and Biological Engineering, IEEE Fellow Dezie

Dorin Comaniciu (amụrụ 1964) bụ ọkà mmụta sayensị kọmputa Romanian-America . Ọ bụ osote onye isi oche nke ọgụgụ isi Artificial na Digital Innovation na Siemens Healthcare .

Nnyocha

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A maara Comaniciu maka ọrụ ya na ọhụụ kọmputa, [1] [2] ihe onyonyo ahụike [3] na mmụta igwe . [4] [5] Edemede agụmakwụkwọ ya nwere ngụ 54,000 nwere H-index nke 85. [6] Dị ka nke 2022, ọ na-ejide 308 US patent [7] na 550 mba patent ngwa. [8] Ọ sonyeere Siemens na 1999 dị ka onye ọkà mmụta sayensị dị elu na-elekwasị anya na ngwa ọhụụ kọmputa maka sistemụ ụgbọ ala. [9] Kemgbe 2004, ọ jere ozi na nyocha dị iche iche na ọkwa onye isi, na-eduzi mmepe teknụzụ na onyonyo nyocha [10] [11] na ịwa ahụ na-eduzi [12]

Na nso nso a, nyocha nke otu ya lekwasịrị anya na ọgụgụ isi mmadụ, [13] [14] [15] hyper-realistic visualization, [16] na ọgwụ ziri ezi. [17]

Ya na ndị otu ya na ndị na-arụkọ ọrụ na ụlọ ọgwụ, o nyerela aka ịsụ ụzọ ọtụtụ ngwaahịa ụlọ ọgwụ, gụnyere ịgụ ọkpụkpụ na-arụ ọrụ nke ọma, [18] nyocha vaskụla, nyocha ọrụ obi, trans-esophageal 3D obi valve nyocha, [19] nduzi maka ịkụnye valvụ aortic, [20] na-eme ka ọhụhụ stent dịkwuo mma, nhụta mkpakọ maka Magnetic Resonance, [21] na ọnọdụ onye ọrịa akpaka maka Tomography Computed .

Ihe nrite na nkwanye ugwu

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  • Institute of Electrical and Electronics Engineers (IEEE) Conference on Computer Vision and Pattern Recognition (CVPR) Best Paper Award 2000 (tinyere Visvanathan Ramesh na Peter Meer)
  • IEEE Longuet-Higgins Prize 2010, maka 'Ntụnye aka dị mkpa na Ọhụụ Kọmputa'
  • Ndị otu IEEE 2012, maka ntinye aka na nyocha onyonyo ahụike yana ọhụụ kọmputa
  • Ụlọ ọrụ American Institute for Medical and Biological Engineering (AIMBE) Fellow 2013, maka ntinye aka na nkà na ụzụ na-ahụ maka ahụike site na iji mmụta igwe, na maka idu ndú na nkà na ụzụ imaging [22]
  • Mkpokọta onyonyo ahụike na ihe enyemaka Kọmputa (MICCAI) Society Fellow 2015, maka ntinye aka na tiori na omume nke onyonyo ahụike yana ntinye aka na-eduzi onyonyo [23]
  • Association for Computing Machinery (ACM) Fellow 2017, maka ntinye aka na ọgụgụ isi igwe, ihe nleba anya nyocha, ntinye ihe onyonyo, na ọhụụ kọmputa
  • Enyere nzere doctorate na 2018 site na Mahadum Titu Maiorescu, Romania
  • Onye otu National Academy of Medicine 2019

Edensibia

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  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. Archived from the original on 2018-08-08. Retrieved on 2024-03-14.
  8. Worldwide Patents of Dorin Comaniciu. Archived from the original on 2024-03-14. Retrieved on 2024-03-14.
  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 (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. 
  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