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Selected Publications of Biomed(SIIT)

Karunanayake N., Aimmanee P., Lohitvisate W. and S.S. Makhanov (2019) Particle method for segmentation of breast tumors in ultrasound images, Mathematics and Computers in Simulation (in print)

Dang L.V., Vacharanukul K. and S. S. Makhanov (2019) Compact radial zigzag for five-axis machining of STL surfaces, The International Journal of Advanced Manufacturing Technology(in print)

Keatmanee C., Chaumrattanakul U.,  Kotani K. and S.S. Makhanov (2019) Initialization of active contours for segmentation of breast cancer via fusion of ultrasound, Doppler, and elasticity images, Ultrasonics Vol 94, p. 438-453.

Vanderperre, E.J. and S.S. Makhanov (2019) Point availability of Gaver’s duplex system supervised by a safety device unit, Operations Research Letters, Vol. 47, pp. 417-420.

Muangnak, N., Aimmanee, P. and S.S. Makhanov (2018) Automatic optic disk detection in retinal images using hybrid vessel phase portrait analysis, Medical & Biological Engineering & Computing, Vol. 56, No.4, pp 583-598.

Rodtook, A., Kirimasthong, K., Lohitvisate, W. and S.S. Makhanov (2018) Automatic initialization of active contours and level set method in ultrasound images of breast abnormalities. Pattern Recognition, Vol 79, pp 172-182.

Kirimasthong,K., Rodtook A., Chaumrattanakul U. and S.S. Makhanov (2017) Phase portrait analysis for automatic initialization of multiple snakes for segmentation of the ultrasound images of breast cancer, Pattern Analysis and Applications, Vol. 20, pp. 239–251.

Moodleah S. and S.S. Makhanov (2015) 5-axis machining using a curvilinear tool path aligned with the direction of the maximum removal rate, International Journal Advanced Manufacturing Technologies Vol 80:65–90

Muangnak, N.; P. Aimmanee; S. S. Makhanov; and B. Uyyanonvara (2015). Vessel transform for automatic optic disk detection in retinal images, IET Image Processing, Vol. 9, No. 9, pp. 743-750.

Rodtook, A. and Makhanov, S.S. (2013). Multi-Feature Gradient Vector Flow Snakes for Adaptive Segmentation of the Ultrasound Images of Breast Cancer,Journal of Visual Communication and Image Representation, Vol. 24, No. 8, pp. 1414-1430.

Nakaguro, Y., Dailey, M. N., Marukatat, S. and Makhanov, S. S. (2013). Defeating line-noise CAPTCHAs with multiple quadratic snakes, Computers & Security, Vol. 37, pp. 91-110.

Chucherd, S. and S.S.Makhanov (2011). Sparse Phase Portrait Analysis for Preprocessing and Segmentation of Ultrasound Images of Breast Cancer, IAENG International Journal of Computer Science, Vol. 38, No. 2, pp. 146-159

Nakaguro, Y., Makhanov, S. S. and M.N. Dailey (2011). Numerical experiments with cooperating multiple quadratic snakes for road extraction, International Journal of Geographical Information Science, Vol. 25, No. 5, pp. 765-783.

Cattleya, D., B. Uyyanonvara, S. S.Makhanov, S. Barman and T. Williamson (2011), Object Detection with Feature Stability over Scale Space, Journal of Visual Communication and Image Representation, Vol.22, pp. 345-352.

Duanggate, C., B. Uyyanonvara, S.S. Makhanov, S. Barman, and T. Williamson (2011). Parameter-free optic disc detection, Computerized Medical Imaging and Graphics, Vol. 35, No.1, pp. 51-63.

Rodtook, A. and S.S. Makhanov (2010). Continuous force field analysis for generalized gradient vector flow field,Pattern Recognition, Vol. 43, No. 10, pp. 3522-3538.

Chucherd, S., A. Rodtook and S.S. Makhanov (2010). Phase portrait analysis for multiresolution generalized gradient vector flow, IEICE Transactions on Information and Systems, Vol. E93-D, No. 10, pp. 2822-2835.

Rodtook, A. and S. S. Makhanov (2009). Selection of multiresolution rotationally invariant moments for image recognition, Mathematics and Computers in Simulation, Vol. 79, No. 8, pp. 2458-2475.

Rodtook, A. and S. S. Makhanov (2007). A filter bank method to construct rotationally invariant moments for pattern recognition, Pattern Recognition Letters, Vol. 28, No. 12, pp. 1492-1500.

Rodtook, A. and S. S. Makhanov (2007). A filter bank method to construct rotationally invariant moments for pattern recognition, Pattern Recognition Letters, Vol. 28, No. 12, pp. 1492-1500.

Rodtook, S. and S. S. Makhanov. (2005). Numerical experiments on the accuracy of rotation moment invariants, International Journal of Image and Vision Computing, Vol. 23, No. 6, pp. 577-586

 

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