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Selected Publications of Biomed(SIIT)

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

  2. 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, November 2013, pp. 1414-1430.

  3. 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, October 2010, pp. 2822-2835.

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

  5. 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, September 2007, pp. 1492-1500.

  6. 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.

  7. 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, September 2007, pp. 1492-1500.

  8. Fraz, M. M., P. Ramagnino., A. Hoppe., B. Uyyanonvara., A. R. Rudnicka., C. G. Owen and S. A. Barman ,Blood Vessel Segmentation Methodologies In Retinal Images - A Survey, Journal Computer Methods and Programs in Biomedicine, Vol. 108, October 2012, pp. 407–433.

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

  10. 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, January 2011, pp. 51-63.

  11. 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, April 2009, pp. 2458-2475.

  12. Sopharak, A., B. Uyyanonvara and S. Barman, Simple hybrid method for fine microaneurysm detection from non-dilated diabetic retinopathy retinal images Computerized Medical Imaging and Graphics, Vol. 22, February 2011, pp. 345-352

  13. Chucherd, S. and Makhanov, S. S. (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, 2011, pp. 146-159

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

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