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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

97 related items for PubMed ID: 23192601

  • 1. Support vector machine classification based on correlation prototypes applied to bone age assessment.
    Harmsen M, Fischer B, Schramm H, Seidl T, Deserno TM.
    IEEE J Biomed Health Inform; 2013 Jan; 17(1):190-7. PubMed ID: 23192601
    [Abstract] [Full Text] [Related]

  • 2. Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment.
    Kashif M, Deserno TM, Haak D, Jonas S.
    Comput Biol Med; 2016 Jan 01; 68():67-75. PubMed ID: 26623943
    [Abstract] [Full Text] [Related]

  • 3. A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.
    Tong C, Liang B, Li J, Zheng Z.
    J Med Syst; 2018 Nov 03; 42(12):249. PubMed ID: 30390162
    [Abstract] [Full Text] [Related]

  • 4. Development of a biometric method to estimate age on hand radiographs.
    Remy F, Hossu G, Cendre R, Micard E, Mainard-Simard L, Felblinger J, Martrille L, Lalys L.
    Forensic Sci Int; 2017 Feb 03; 271():113-119. PubMed ID: 28081518
    [Abstract] [Full Text] [Related]

  • 5. On the segmentation and classification of hand radiographs.
    Davis LM, Theobald BJ, Lines J, Toms A, Bagnall A.
    Int J Neural Syst; 2012 Oct 03; 22(5):1250020. PubMed ID: 22916720
    [Abstract] [Full Text] [Related]

  • 6. Automatic determination of left- and right-hand bone age in the First Zurich Longitudinal Study.
    Martin DD, Neuhof J, Jenni OG, Ranke MB, Thodberg HH.
    Horm Res Paediatr; 2010 Oct 03; 74(1):50-5. PubMed ID: 20395658
    [Abstract] [Full Text] [Related]

  • 7. Assessing the Bone Age of Children in an Automatic Manner Newborn to 18 Years Range.
    Dehghani F, Karimian A, Sirous M.
    J Digit Imaging; 2020 Apr 03; 33(2):399-407. PubMed ID: 31388865
    [Abstract] [Full Text] [Related]

  • 8. Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients.
    Kotu LP, Engan K, Borhani R, Katsaggelos AK, Ørn S, Woie L, Eftestøl T.
    Artif Intell Med; 2015 Jul 03; 64(3):205-15. PubMed ID: 26239472
    [Abstract] [Full Text] [Related]

  • 9. Diagnosis of osteoporosis by extraction of trabecular features from hip radiographs using support vector machine: an investigation panorama with DXA.
    Sapthagirivasan V, Anburajan M.
    Comput Biol Med; 2013 Nov 03; 43(11):1910-9. PubMed ID: 24209936
    [Abstract] [Full Text] [Related]

  • 10. Web-based bone age assessment by content-based image retrieval for case-based reasoning.
    Fischer B, Welter P, Günther RW, Deserno TM.
    Int J Comput Assist Radiol Surg; 2012 May 03; 7(3):389-99. PubMed ID: 21671096
    [Abstract] [Full Text] [Related]

  • 11. Regression Algorithm of Bone Age Estimation of Knee-joint Based on Principal Component Analysis and Support Vector Machine.
    Lei YY, Shen YS, Wang YH, Zhao H.
    Fa Yi Xue Za Zhi; 2019 Apr 03; 35(2):194-199. PubMed ID: 31135114
    [Abstract] [Full Text] [Related]

  • 12. Automatic bone age assessment based on intelligent algorithms and comparison with TW3 method.
    Liu J, Qi J, Liu Z, Ning Q, Luo X.
    Comput Med Imaging Graph; 2008 Dec 03; 32(8):678-84. PubMed ID: 18835130
    [Abstract] [Full Text] [Related]

  • 13. Computer-assisted bone age assessment: graphical user interface for image processing and comparison.
    Pietka E, Gertych A, Pospiechâ Euro Kurkowska S, Cao F, Huang HK, Gilzanz V.
    J Digit Imaging; 2004 Sep 03; 17(3):175-88. PubMed ID: 15175931
    [Abstract] [Full Text] [Related]

  • 14. Bone age assessment of children using a digital hand atlas.
    Gertych A, Zhang A, Sayre J, Pospiech-Kurkowska S, Huang HK.
    Comput Med Imaging Graph; 2007 Sep 03; 31(4-5):322-31. PubMed ID: 17387000
    [Abstract] [Full Text] [Related]

  • 15. Studies in use of the Greulich-Pyle skeletal age method to assess criminal liability.
    Schmidt S, Koch B, Schulz R, Reisinger W, Schmeling A.
    Leg Med (Tokyo); 2008 Jul 03; 10(4):190-5. PubMed ID: 18331810
    [Abstract] [Full Text] [Related]

  • 16. Bone age estimation based on phalanx information with fuzzy constrain of carpals.
    Hsieh CW, Jong TL, Tiu CM.
    Med Biol Eng Comput; 2007 Mar 03; 45(3):283-95. PubMed ID: 17242901
    [Abstract] [Full Text] [Related]

  • 17. [Automated assessment of developmental levels of epiphysis by support vector machine].
    Wang YH, Wang ZS, Wei H, Wan L, Ying CL, Zhu GY.
    Fa Yi Xue Za Zhi; 2014 Dec 03; 30(6):422-6. PubMed ID: 25816571
    [Abstract] [Full Text] [Related]

  • 18. Validation of adult height prediction based on automated bone age determination in the Paris Longitudinal Study of healthy children.
    Martin DD, Schittenhelm J, Thodberg HH.
    Pediatr Radiol; 2016 Feb 03; 46(2):263-9. PubMed ID: 26573823
    [Abstract] [Full Text] [Related]

  • 19. Forensic bone age assessment of hand and wrist joint MRI images in Chinese han male adolescents based on deep convolutional neural networks.
    Zhou HM, Zhou ZL, He YH, Liu TA, Wan L, Wang YH.
    Int J Legal Med; 2024 Nov 03; 138(6):2427-2440. PubMed ID: 39060444
    [Abstract] [Full Text] [Related]

  • 20. Aging adult skull remains through radiological density estimates: A comparison of different computed tomography systems and the use of computer simulations to judge the accuracy of results.
    Obert M, Kubelt C, Schaaf T, Dassinger B, Grams A, Gizewski ER, Krombach GA, Verhoff MA.
    Forensic Sci Int; 2013 May 10; 228(1-3):179.e1-7. PubMed ID: 23473543
    [Abstract] [Full Text] [Related]

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