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Day, CR; Jabbar, SI; Heinz, N; Chadwick, EK (2016)
Publisher: IEEE
Languages: English
Types: Unknown
Subjects: QA75
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] S. Pillen, “Skeletal muscle ultrasound,” European Journal Translational Myology, 1(5), 145-155, 2010.
    • [2] B. Bolsterlee, D.H. Veeger,E. K. Chadwick, “Clinical applications of musculoskeletal modelling for the shoulder and upper limb”International Federation for Medical and Biological Engineering, 51(9),953-963,2013
    • [3] E. K. Chadwick, D. Blana, R. F. Kirsch, &, A. J. Van Den Bogert, “Real-Time Simulation of Three-Dimensional Shoulder Girdle and Arm Dynamics”IEEE Transactions on Bio-Medical Engineering, 61(7), 1-10, 2014.
    • [4] R. Gupta, I. Elamvazuthi, S. Dass, I. Faye, P.Vasant, J. George, & F. Izza, “Curvelet based automatic segmentation of supraspinatus tendon from ultrasound image : a focused assistive diagnostic method,”BioMedical Engineering Online, 2014.http://www.biomedical-engineeringonline.com/content/13/1/157
    • [5] F. J. Gallegos-funes, M. Jose, A.J. Rosales-silva & S.S. Isakina, “Real-Time Speckle and Impulsive Noise Suppression in 3-D Ultrasound Imaging”Ultrasound Imaging, ISBN: 978-953-307-239- 5, 2011,http://www.intechopen.com
    • [6] N. Biradar, M. Dewal,&M. Rohit, “Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters”International Scholarly Research Notices, 1-11, 2014, doi:10.1155/2014/876434. .
    • [7] A.Krizhevsky, & G. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks,”Advances in Neural Information Processingsystems Conference, 1097-1105, 2012.
    • [8] D. Ciresan, A. Giusti& L. M. Gambardella,“Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images”,NIPS, 2852-2860, 2012.
    • [9] D. Ciresan, A. Giusti& L. M. Gambardella, “Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks,”MICCAI,2, 411-418, 2013.
    • [10] H.Wang, A. Cruz-roa,A. Basavanhally,H. Gilmore,N. Shih,M. Feldman, J. Tomaszewski,F. Gonzalez and A. Madabhushi,“ Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features,”Journal of Medical Imaging, 1(3), 2014.
    • [11] C. Cernazanu-glavan, & S. Holban,“Segmentation of bone structure in X-ray images using convolutional neural network. Advances in Electrical and Computer Engineering,” 10(1), 1-8, 2013.
    • [12] M. Melinscak, P. Prentasic, & S. Loncaric, “Retinal Vessel Segmentation Using Deep Neural Networks,”10th International Conference on Computer Vision Theory and Applications, pp. 577- 582, 2015.
    • [13] Y.LeCun, L.Bottou, L.Bengio, and P.Haffner, “Gradient-Based learning applied to document recognition,” Proceedings of the IEEE, 86(11),2278-2324,1998.
    • [14] K.Özkan, “A novel multi-scale and multi-expert edge detector based on common vector approach,”International Journal of Electronics and Communications,69, 1272-1281,2015.
    • [15] J. Doorn, “Analysis of Deep Convolutional Neural Network Architectures,” 21th Twente Student Conference on IT,University of Twente, Netherlands, 2014.
    • [16] B.Matthews, “Comparison of the predicted and Observed secondary structure of T4 Phage Lysozyme”, Biochimica et Biophysica Acta, 405, 442-451,1975.
    • [17] C. Lopez-Molina, B. De Baets, & H. Bustince, “Quantitative error measures for edge detection,”Pattern Recognition, 46(4), 1125- 1139,2013.
    • [18] J.Canny, “A Computational Approach to Edge Detection,”IEEE Transactions on pattern analysis Machine Intelligence, 8(6), 679- 698, 1986.
    • [19] PK. Nielsen , BR Jensen , T. Darvann , K.Jørgensen , M. Bakke, “Quantitative ultrasound image analysis of the supraspinatus muscle,” ClinicalBiomechanical, 15(Supplement 1(0)):S13- S16,2000.
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