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Journal Abstract Search

149 related items for PubMed ID: 22482369

  • 1. Constrained snake vs. conventional snake for carotid ultrasound automated IMT measurements on multi-center data sets.
    Molinari F, Meiburger KM, Saba L, Acharya UR, Ledda M, Nicolaides A, Suri JS.
    Ultrasonics; 2012 Sep; 52(7):949-61. PubMed ID: 22482369
    [Abstract] [Full Text] [Related]

  • 2. Distal wall delineation using automated Dual Snake paradigm: a multi-center and multi-ethnic carotid ultrasound evaluation.
    Molinari F, Meiburger KM, Saba L, Zeng G, Acharya UR, Piga M, Shafique S, Nicolaides A, Suri J.
    Annu Int Conf IEEE Eng Med Biol Soc; 2012 Sep; 2012():484-7. PubMed ID: 23365934
    [Abstract] [Full Text] [Related]

  • 3. Fully automated dual-snake formulation for carotid intima-media thickness measurement. A new approach.
    Molinari F, Meiburger KM, Saba L, Zeng G, Acharya UR, Ledda M, Nicolaides A, Suri JS.
    J Ultrasound Med; 2012 Jul; 31(7):1123-36. PubMed ID: 22733861
    [Abstract] [Full Text] [Related]

  • 4. Completely automated multiresolution edge snapper--a new technique for an accurate carotid ultrasound IMT measurement: clinical validation and benchmarking on a multi-institutional database.
    Molinari F, Pattichis CS, Zeng G, Saba L, Acharya UR, Sanfilippo R, Nicolaides A, Suri JS.
    IEEE Trans Image Process; 2012 Mar; 21(3):1211-22. PubMed ID: 21947523
    [Abstract] [Full Text] [Related]

  • 5. CALSFOAM-completed automated local statistics based first order absolute moment" for carotid wall recognition, segmentation and IMT measurement: validation and benchmarking on a 300 patient database.
    Molinari F, Liboni W, Pantziaris M, Suri JS.
    Int Angiol; 2011 Jun; 30(3):227-41. PubMed ID: 21617606
    [Abstract] [Full Text] [Related]

  • 6. Dynamic programming in parallel boundary detection with application to ultrasound intima-media segmentation.
    Zhou Y, Cheng X, Xu X, Song E.
    Med Image Anal; 2013 Dec; 17(8):892-906. PubMed ID: 23837965
    [Abstract] [Full Text] [Related]

  • 7. Validation of the Carotid Intima-Media Thickness Variability: Can Manual Segmentations Be Trusted as Ground Truth?
    Meiburger KM, Molinari F, Wong J, Aguilar L, Gallo D, Steinman DA, Morbiducci U.
    Ultrasound Med Biol; 2016 Jul; 42(7):1598-611. PubMed ID: 27072077
    [Abstract] [Full Text] [Related]

  • 8. Ultrasound intima-media thickness measurement of the carotid artery using ant colony optimization combined with a curvelet-based orientation-selective filter.
    Li H, Zhang S, Ma R, Chen H, Xi S, Zhang J, Fang J.
    Med Phys; 2016 Apr; 43(4):1795. PubMed ID: 27036577
    [Abstract] [Full Text] [Related]

  • 9. Automated analysis of intima-media thickness: analysis and performance of CARES 3.0.
    Saba L, Montisci R, Famiglietti L, Tallapally N, Acharya UR, Molinari F, Sanfilippo R, Mallarini G, Nicolaides A, Suri JS.
    J Ultrasound Med; 2013 Jul; 32(7):1127-35. PubMed ID: 23804335
    [Abstract] [Full Text] [Related]

  • 10. Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers.
    Saba L, Molinari F, Meiburger KM, Acharya UR, Nicolaides A, Suri JS.
    Comput Biol Med; 2013 Sep; 43(9):1261-72. PubMed ID: 23930821
    [Abstract] [Full Text] [Related]

  • 11. Improved correlation between carotid and coronary atherosclerosis SYNTAX score using automated ultrasound carotid bulb plaque IMT measurement.
    Ikeda N, Gupta A, Dey N, Bose S, Shafique S, Arak T, Godia EC, Saba L, Laird JR, Nicolaides A, Suri JS.
    Ultrasound Med Biol; 2015 May; 41(5):1247-62. PubMed ID: 25638311
    [Abstract] [Full Text] [Related]

  • 12. What is the correct distance measurement metric when measuring carotid ultrasound intima-media thickness automatically?
    Saba L, Molinari F, Meiburger KM, Piga M, Zeng G, Rajendra Achraya U, Nicolaides A, Suri JS.
    Int Angiol; 2012 Oct; 31(5):483-9. PubMed ID: 22990512
    [Abstract] [Full Text] [Related]

  • 13. Ultrasound intima-media segmentation using Hough transform and dual snake model.
    Xu X, Zhou Y, Cheng X, Song E, Li G.
    Comput Med Imaging Graph; 2012 Apr; 36(3):248-58. PubMed ID: 21741209
    [Abstract] [Full Text] [Related]

  • 14. Intima-media thickness: setting a standard for a completely automated method of ultrasound measurement.
    Molinari F, Zeng G, Suri JS.
    IEEE Trans Ultrason Ferroelectr Freq Control; 2010 May; 57(5):1112-24. PubMed ID: 20442021
    [Abstract] [Full Text] [Related]

  • 15. Completely automated robust edge snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images.
    Molinari F, Rajendra Acharya U, Zeng G, Meiburger KM, Suri JS.
    Med Biol Eng Comput; 2011 Aug; 49(8):935-45. PubMed ID: 21509593
    [Abstract] [Full Text] [Related]

  • 16. [Intima media thickness of the carotid arteries: early pointer to arteriosclerosis and therapeutic endpoint].
    Ludwig M, von Petzinger-Kruthoff A, von Buquoy M, Stumpe KO.
    Ultraschall Med; 2003 Jun; 24(3):162-74. PubMed ID: 12817310
    [Abstract] [Full Text] [Related]

  • 17. Carotid artery recognition system: a comparison of three automated paradigms for ultrasound images.
    Molinari F, Meiburger KM, Zeng G, Acharya UR, Liboni W, Nicolaides A, Suri JS.
    Med Phys; 2012 Jan; 39(1):378-91. PubMed ID: 22225307
    [Abstract] [Full Text] [Related]

  • 18. Inter-Greedy technique for fusion of different carotid segmentation boundaries leading to high-performance IMT measurement.
    Molinari F, Zeng G, Suri JS.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010 Jan; 2010():4769-72. PubMed ID: 21096250
    [Abstract] [Full Text] [Related]

  • 19. Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment.
    Ikeda N, Dey N, Sharma A, Gupta A, Bose S, Acharjee S, Shafique S, Cuadrado-Godia E, Araki T, Saba L, Laird JR, Nicolaides A, Suri JS.
    Comput Methods Programs Biomed; 2017 Apr; 141():73-81. PubMed ID: 28241970
    [Abstract] [Full Text] [Related]

  • 20. CARES 3.0: a two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images.
    Molinari F, Meiburger KM, Acharya UR, Zeng G, Rodrigues PS, Saba L, Nicolaides A, Suri JS.
    Annu Int Conf IEEE Eng Med Biol Soc; 2011 Apr; 2011():5149-52. PubMed ID: 22255498
    [Abstract] [Full Text] [Related]

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