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Selected Publications:

  • D. N. H. Thanh, V. B. S. Prasath, Sergey Dvoenko, Le Minh Hieu. An adaptive image inpainting method based on Euler’s elastica with adaptive parameters estimation and the discrete gradient method. Signal Processing, 178, 107797, January 2021. doi:10.1016/j.sigpro.2020.107797
  • D. N. H. Thanh, V. B. S. Prasath, L. M. Hieu, N. N. Hien. Melanoma skin cancer detection method based on adaptive principal curvature, color normalization and features extraction with the ABCD rule. Journal of Digital Imaging, 33(3), 574-585, June 2020. doi:10.1007/s10278-019-00316-x
  • T. Hayakawa, V. B. S. Prasath, H. Kawanaka, B. J. Aronow, S. Tsuruoka. Computational nuclei segmentation methods in digital pathology - A Survey. Archives of Computational Methods in Engineering, 2020. doi:10.1007/s11831-019-09366-4
  • H. A. A. Alfeilat, A. B. A. Hassanat, O. Lasassmeh, A. S. Tarawneh, M. B. Alhasanat, H. S. Eyal Salman, V. B. S. Prasath. Effects of distance measure choice on KNN classifier performance - A review. Big Data, 7(4), 221–248, December 2019.  doi:10.1089/big.2018.0175
  • V. B. S. Prasath, R. Pelapur, G. Seetharaman, K. Palaniappan. Multiscale structure tensor for improved feature extraction and image regularization. IEEE Transactions on Image Processing, 28(12), 6198–6210, December 2019. doi:10.1109/TIP.2019.2924799
  • A. Yonekura, H. Kawanaka, V. B. S. Prasath, B. J. Aronow, H. Takase. Automatic disease stage classification of glioblastoma multiforme histopathological images using deep convolutional neural network. Biomedical Engineering Letters, 8(3), 321–327, August 2018. doi:10.1007/s13534-018-0077-0
  • V. B. S. Prasath, D. Vorotnikov. On time adaptive critical variable exponent vectorial diffusion flows and their applications in image processing I. Analysis. Nonlinear Analysis, 168, 176–197, March 2018. doi:10.1016/j.na.2017.11.013
  • P. Kalavathi, M. Senthamilselvi, V. B. S. Prasath. Review of computational methods on brain symmetric and asymmetric analysis from neuroimaging techniques. Technologies, 5(2), 16, June 2017. Special issue on Medical Imaging & Image Processing II. doi:10.3390/technologies5020016
  • V. B. S. Prasath. Polyp detection and segmentation from video capsule endoscopy: A review. Journal of Imaging, 3(1), 15pp, March 2017. Special issue on Image and Video Processing in Medicine. doi:10.3390/jimaging3010001
  • H. Aliakbarpour, V. B. S. Prasath, K. Palaniappan, G. Seetharaman, J. Dias. Heterogeneous multi-view information fusion: Review of 3-D reconstruction methods and a new registration with uncertainty modeling. IEEE Access, 4(1), 8264–8285, December 2016. doi:10.1109/ACCESS.2016.2629987
  • P. Kalavathi, V. B. S. Prasath. Methods on skull stripping of MRI head scan images - A review. Journal of Digital Imaging, 29(3), 365–397, June 2016. doi:10.1007/s10278-015-9847-8
  • V. B. S. Prasath, D. Vorotnikov, R. Pelapur, S. Jose, G. Seetharaman, K. Palaniappan. Multiscale Tikhonov-total variation image restoration using spatially varying edge coherence exponent. IEEE Transactions on Image Processing, 24(12), 5220–5235, December 2015. doi:10.1109/TIP.2015.2479471
  • V. B. S. Prasath, J. M. Urbano, D. Vorotnikov. Analysis of adaptive forward-backward diffusion flows with applications in image processing. Inverse Problems, 31, 105008 (30pp), October 2015. doi:10.1088/0266-5611/31/10/105008
  • J. C. Moreno, V. B. S. Prasath, H. Proenca, K. Palaniappan. Fast and globally convex multiphase active contours for brain MRI segmentation. Computer Vision and Image Understanding, 125, 237-250, August 2014. doi:10.1016/j.cviu.2014.04.010
  • V. B. S. Prasath, D. Vorotnikov. On a system of adaptive coupled PDEs for image restoration. Journal of Mathematical Imaging and Vision, 48(1), 35–52, January 2014. doi:10.1007/s10851-012-0386-3