Publications
Profiles:
DBLP (Engineering)
AMS-MathSciNet (Mathematics, requires subscription)
Selected Journal Publications:
M. Shah, D. Shu, V. B. S. Prasath, Y. Ni, A. Schapiro, K. Dufendach. Using machine learning techniques for automated detection of correct positioning of PICC tip from radiological reports in infants. Applied Clinical Informatics, 2021.
G. Li, B. Iyer, V. B. S. Prasath, Y. Ni, N. Salomonis. DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunity. Briefings in Bioinformatics, 2021. doi:10.1093/bib/bbab160
J. Zhang, Q. Wu, C. B. Johnson, G. Pham, J. M. Kinder, A. Olsson, A. Slaughter, M. May, B. Weinhaus, A. D'Alessandro, J. D. Engel, J. X. Jiang, J. M. Kofron, L. F. Huang, V. B. S. Prasath, S. S. Way, N. Salomonis, H. L. Grimes, D. Lucas. In situ mapping identifies distinct vascular niches for myelopoiesis. Nature, 590, 457-462, February 2021. doi:10.1038/s41586-021-03201-2
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, 28(1), 1–13, January 2021. doi:10.1007/s11831-019-09366-4
D. N. H. Thanh, V. B. S. Prasath, L. M. Hieu, N. N. Hien. Melanoma skin cancer detection method based on adaptive principal curvature, colour normalisation and feature extraction with the ABCD rule. Journal of Digital Imaging, 33(3), 574–585, June 2020. doi:10.1007/s10278-019-00316-x
S. Bidani, R. P. Priya, V. Vijayarajan, V. B. S. Prasath. Automatic body mass index detection using correlation of face visual cues. Technology and Health Care, 28(1), 107–112, January 2020. doi:10.3233/THC-191850
H. A. A. Alfeilat, A. B. A. Hassanat, O. Lasassmeh, A. S. Tarawneh, M. B. Alhasanat, H. S. E. 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
Selected Conference Publications:
S. Isaka, H. Kawanaka, B. Aronow, V. B. S. Prasath. Multi-class segmentation of lung immunofluorescence confocal images using deep learning. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H), San Diego, CA, USA. Proc. IEEE, 2362–2368, November 2019. doi:10.1109/BIBM47256.2019.8983146
A. Yonekura, H. Kawanaka, V. B. S. Prasath, B. J. Aronow, H. Takase. Improving the generalization of disease stage classification with deep CNN for glioma histopathological images. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H), Kansas, MO, USA. Proc. IEEE, pp. 1222–1226, November 2017. doi:10.1109/BIBM.2017.8217831
R. Pelapur, V. B. S. Prasath, J. C. Moreno, M. Heck. 3D Workflow for segmentation and interactive visualization in brain MR images using multiphase active contours. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas, MO, USA. Proc. IEEE, pp. 921–926, November 2017. doi:10.1109/BIBM.2017.8217780
V. B. S. Prasath, Y. M. Kassim, Z. A. Oraibi, J.-B. Guiriec, A. Hafiane, K. Palaniappan. HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests. 23rd International Conference on Pattern Recognition, International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images Analysis, Cancun, Mexico. Proc. IEEE, pp. 90–95, December 2016. doi:10.1109/ICPR.2016.7899614
Y. M. Kassim, V. B. S. Prasath, R. Pelapur, O. Glinskii, R. J. Maude, V. Glinsky, V. Huxley, K. Palaniappan. Random forests for dura mater microvasculature segmentation using epifluorescence images. 38th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC), Orlando, FL, USA. (EMBS Student Paper Competition Finalist) Proc. IEEE, pp. 2901–2904, August 2016. doi:10.1109/EMBC.2016.7591336
V. B. S. Prasath, K. Fukuma, B. J. Aronow, H. Kawanaka. Cell nuclei segmentation in glioma histopathology images with color decomposition based active contours. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Washington, DC, USA. Proc. IEEE, pp. 1734–1736, November 2015. doi:10.1109/BIBM.2015.7359944 Available at figshare: doi:10.6084/m9.figshare.1588805
V. B. S. Prasath, R. Pelapur, O. Glinskii, V. Glinsky, V. Huxley, K. Palaniappan. Multiscale tensor anisotropic filtering of fluorescence microscopy for denoising microvasculature. IEEE International Symposium on Biomedical Imaging (ISBI), New York, USA. Proc. IEEE, pp. 540–543, April 2015. doi:10.1109/ISBI.2015.7163930 Available at figshare: doi:10.6084/m9.figshare.1309773
S. Meena, V. B. S. Prasath, K. Palaniappan, G. Seetharaman. Elastic body spline based image segmentation. IEEE International Conference on Image Processing (ICIP), Paris, France, October 2014. Proc. IEEE, pp. 4378–4382. doi:10.1109/ICIP.2014.7025888 Available at figshare: doi:10.6084/m9.figshare.1203638
R. Pelapur, V. B. S. Prasath, F. Bunyak, O. Glinskii, V. Glinsky, V. Huxley, K. Palaniappan. Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation. 36th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC), Chicago, IL, USA. Proc. IEEE, pp. 6055–6058, August 2014. doi:10.1109/EMBC.2014.6944682 Available at figshare: doi:10.6084/m9.figshare.1147490
J. C. Moreno, V. B. S. Prasath, H. Proenca. Robust periocular recognition by fusing local to holistic sparse representations. 6th International Conference on Security of Information and Networks (SIN), Aksaray, Turkey. Proc. ACM Digital Library. pp. 160–164, November, 2013. doi:10.1145/2523514.2523540
V. B. S. Prasath, O. Haddad, F. Bunyak, O. Glinskii, V. Glinsky, V. Huxley, K. Palaniappan. Robust filtering based segmentation of Dura Mater Laminae using fluorescence microscopy. 35th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC), Osaka, Japan. Proc. IEEE, pp. 6055–6058, July 2013. doi:10.1109/EMBC.2013.6610933
I. N. Figueiredo, J. C. Moreno, V. B. S. Prasath, P. N. Figueiredo. A segmentation model and application to endoscopic images. International Conference on Image Analysis and Recognition (ICIAR), Aveiro, Portugal. Proc. in Springer LNCS 7325 (Eds.: A. Campilho and M. Kamel), Part II, pp. 164–171, June 2012. doi:10.1007/978-3-642-31298-4_20
V. B. S. Prasath, I. N. Figueiredo, P. N. Figueiredo, K. Palaniappan. Mucosal region detection and 3D reconstruction in wireless capsule endoscopy videos using active contours. 34th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC), San Diego, USA. Proc. IEEE, pp. 4014-4017, August 2012. doi:10.1109/EMBC.2012.6346847