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2019

  1. D. N. H. Thanh, V. B. S. Prasath, Le Minh Hieu. A review on CT and X-ray images denoising methods. Informatica, 43(1), Mar 2019.

2018

  1. A. B. Hassanat, V. B. S. Prasath, M. Al-kasassbeh, A. S. Tarawneh*, A. J. Al-shamailh*. Magnetic based feature extraction for low-quality fingerprint images. Signal, Image and Video Processing, 12(8), 1471-1478, Nov 2018.

  2. M. Farhan Ferdous, Prayag Tiwari*, V. B. S. Prasath. Design and construction of a light detecting and obstacle sensing robot for IoT - Preliminary feasibility study. Handbook of Internet of Things and Big Data (eds.: V. K. Solanki, V. G. Diaz, P. J. Davim), Nov 2018.

  3. D. N. H. Thanh, V. B. S. Prasath, Le Thi Thanh. Total variation L1 fidelity salt-and-pepper denoising with adaptive regularization parameter. The 5th NAFOSTED Conference on Information and Computer Science (NICS), Nov 2018. Proc. IEEE.

  4. D. N. H. Thanh, V. B. S. Prasath, Nguyen Van Son, Le Minh Hieu. An adaptive image inpainting method based on the modified Mumford-Shah model and multiscale parameter estimation. Computer Optics, Nov 2018.

  5. Tomohiro Hayakawa#, H. Kawanaka, V. B. S. Prasath, B. J. Aronow, Shinji Tsuruoka. Computational automatic nuclei segmentation methods in digital pathology - A survey. Submitted, Nov 2018.

  6. N. Iqbal#, M. M. S. Missen, N. Salamat, V. B. S. Prasath. On video based human abnormal activity detection with histogram of oriented gradients. Handbook of Multimedia Information Security: Techniques and Applications (HMIS), Springer, Nov 2018.

  7. S. M. Hossein#, L. Vyacheslav, V. B. S. Prasath. Analysis of a robust edge detection system in different color spaces using color and depth images. Computer Optics. Nov 2018.

  8. D. N. H. Thanh, Nguyen Ngoc Hien, V. B. S. Prasath, Le Thi Thanh, Nguyen Hoang Hai. Automatic initial boundary generation methods based on edge detectors for Chan-Vese segmentation model and applications in medical image processing. International Conference on Frontiers of Intelligent Computing: Theory and Application (FICTA), Da Nang, Vietnam, Springer AISC, Nov 2018.

  9. V. B. S. Prasath. SIMREN: Similarity of residual and noise for parameter estimation in regularized restoration. Submitted, Nov 2018.

  10. S. Boopathiraja*, P. Kalavathi, V. B. S. Prasath. Optimal multilinear singular value decomposition based three dimensional medical images compression. Submitted, Nov 2018.

  11. A. B. Hassanat, G. Altarawneh, A. S. Tarawneh*, H. Faris, M. B. Alhasanat, Alex De Voogt, B. Al-Rawashdeh, M. Shamaileh, V. B. S. Prasath. On computerizing the ancient game of ṭāb. International Journal of Gaming and Computer-Mediated Simulations, 10(3), Oct 2018.

  12. D. N. H. Thanh, S. Dvoenko, V. B. S. Prasath, N. H. Hai. Blood vessels segmentation method for retinal fundus images based on adaptive principal curvatures and image derivative operators. Submitted, Oct 2018.

  13. D. N. H. Thanh, Nguyen Van Son, V. B. S. Prasath. Distorted image reconstruction method with trimmed median. Submitted, Oct 2018.

  14. D. N. H. Thanh, V. B. S. Prasath, S. Dvoenko, L. M. Hieu. Anonymous submission. Submitted, Sep 2018.

  15. N. H. Hai, D. N. H. Thanh, N. Van Son, V. B. S. Prasath, L. M. Hieu. Anonymous submission. Submitted, Sep 2018.

  16. Srinivasa Siddhartha Selagamsetty#, V. B. S. Prasath, R. Pelapur. Benchmarking HEp-2 cell segmentation methods in indirect immunofluorescence images. Submitted, Sep 2018.

  17. Harshith Bondada#, V. B. S. Prasath. Retinal vessel segmentation methods on wide-field fluorescein angiography images. Submitted, Sep 2018.

  18. A. Pranav, R. Rajeshkannan, V. Vijayarajan, V. B. S. Prasath. Break, Make, and Take: An information retrieval approach to approximate string similarity problems. Submitted, Sep 2018.

  19. N. Salamat, V. B. S. Prasath, M. M. S. Missen. Anonymous submission. Submitted, Sep 2018.

  20. S. M. Hossein#, V. B. S. Prasath. On the feasibility of estimating fruits weights using depth sensors. Submitted, Sep 2018.

  21. M. Husnain*, M. M. S. Missen, N. Salamat, N. Akhtar, H. Asmat, V. B. S. Prasath, A. Firdous, M. Coustaty, O. Ajmal, S. Mumtaz. Systematic analysis of role of SentiWordNet in opinion mining. Revised, Sep 2018.

  22. M. M. S. Missen, M. Coustaty, V. B. S. Prasath, N. Salamat. OpinionML - An opinion markup language for sentiment representation. Submitted, Sep 2018.

  23. S. Boopathiraja*, P. Kalavathi, V. B. S. Prasath. On a hybrid lossless compression technique for three dimensional medical images. Submitted, Sep 2018.

  24. V. B. S. Prasath, R. Pelapur, D. N. H. Thanh. Video object segmentation using temporal coherency and dense optical flow. Submitted, Sep 2018.

  25. Sarada Prasad Gochhayat, Pallavi Kaliyar*, Mauro Conti, Prayag Tiwari*, V. B. S. Prasath, Deepak Gupta, Ashish Khanna. LISA: Lightweight context-aware IoT service architecture. Submitted, Sep 2018.

  26. V. Vijayarajan, V. B. S. Prasath. Content based image retrieval for histopathology imagery - A review. Submitted, Sep 2018.

  27. B. Muthusenthil, H. Kim, V. B. S. Prasath. Location verification technique for cluster based geographical routing in MANET. Informatica, Revised, Sep 2018.

  28. J. C. Moreno, V. B. S. Prasath, D. Vorotnikov. Adaptive diffusion constrained total variation scheme with application to cartoon + texture + edge image decomposition. Revised, Sep 2018.

  29. J. C. Moreno, V. B. S. Prasath. Coupled multiphase active contours. Submitted, Sep 2018.

  30. V. Vijayarajan, V. B. S. Prasath, Rajat Bhati#, Agrim Nautiyal#. Some cryptography algorithms for IoT using machine learning - A systematic approach. Submitted, Sep 2018.

  31. V. B. S. Prasath, D. Vorotnikov. On time adaptive critical variable exponent vectorial diffusion flows and their applications in image processing II. Experiments. Submitted, Sep 2018.

  32. M. Hrerat#, V. B. S. Prasath, A. B. Hassanat. On efficient spatial filters for noise removal in digital images. Submitted, Sep 2018.

  33. Montek Singh^, Utkarsh Bajpai^, V. Vijayarajan, V. B. S. Prasath. Generation of fashionable clothes using GANs. Submitted, Sep 2018.

  34. Y. M. Kassim*, V. B. S. Prasath, Olga V. Glinskii, Vladislav V. Glinsky, Virginia H. Huxley, K. Palaniappan. Machine learning based microvasculature segmentation for mice dura mater epifluorescence microscopy. Submitted, Sep 2018.

  35. A. Rashid*, N. Salamat, V. B. S. Prasath. On a secure steganography approach with increased capacity and security. International Journal of Computer Vision and Signal Processing. Revised, Sep 2018.

  36. H. Amaral-Silva, L. Otavio Murta-Jr, P. M. Azevedo-Marques, L. Wichert-Ana, V. B. S. Prasath, Colin Studholme. Validation of Tsallis entropy in inter-modality neuroimage registration. Submitted, Sep 2018.

  37. V. Vijayarajan, V. B. S. Prasath, P. K. Hazarika^, S. Saraff^. Classification based image retrieval using support vector machines. Submitted, Sep 2018.

  38. B. Muthusenthil, V. B. S. Prasath. Modelling of kinematic real time fitness using IoT. Submitted, Sep 2018.

  39. 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, Aug 2018.

  40. V. B. S. Prasath, D. N. H. Thanh, Nguyen H. Hai. Regularization parameter selection in image restoration with inverse gradient: Single scale or multiscale?. IEEE International Conference on Communications and Electronics (ICCE). Proc. IEEE, pp. 278-282, Jul 2018.

  41. V. B. S. Prasath, D. N. H. Thanh, Nguyen H. Hai. On selecting the appropriate scale in image selective smoothing by nonlinear diffusion. IEEE International Conference on Communications and Electronics (ICCE). Proc. IEEE. Proc. IEEE, pp. 267-272, Jul 2018.

  42. 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, Revised, Jul 2018. (Project)

  43. A. B. Hassanat, V. B. S. Prasath, E. Alkafaween*, E. Y. Abunawas*, A. M. Hammouri. Anonymous submission. Submitted, Jul 2018.

  44. P. Tiwari, V. B. S. Prasath. Anonymous submission. Submitted, Jul 2018.

  45. C. Jackson, D. Rekha, V. Vijayakumar, V. B. S. Prasath. A genetic algorithm approach for solving broadcast scheduling problem in vehicular adhoc networks. Submitted, Jul 2018.

  46. A. B. Hassanat, V. B. S. Prasath, M. Ali Abbadi, S. A. Abu-Qdari#, H. Faris. An improved genetic algorithm with a new initialization mechanism based on regression techniques. Information, 9(7), 167, Jul 2018.

  47. V. B. S. Prasath. Automatic image and video analysis for capsule endoscopy - An open frontier. International Journal of Robotic Engineering, 3, 007, Jun 2018.

  48. V. B. S. Prasath. Anonymous submission. Revised, Jun 2018.

  49. A. Yonekura#, H. Kawanaka, V. B. S. Prasath, B. J. Aronow, S. Tsuruoka. Glioma subtypes clustering method using histopathological image analysis. Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) & 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Jun 2018.

  50. Shu Isaka#, H. Kawanaka, V. B. S. Prasath, B. J. Arronow, S. Tsuruoka. Region classification for lung immunofluorescent confocal images. Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) & 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Jun 2018.

  51. Shu Isaka#, H. Kawanaka, V. B. S. Prasath, B. J. Aronow, S. Tsuruoka. Development of a web based image annotation tool for lung immunofluorescent confocal images. 4th International Symposium on Affective Science and Engineering, and the 29th Modern Artificial Intelligence and Cognitive Science Conference (ISASE-MAICS), Spokane, WA, USA, 5pp, Jun 2018.

  52. El Hadji S. Diop, Abdel-Ouahab Boudraa, V. B. S. Prasath. Optimal nonlinear signal approximations based on piecewise constant functions. Submitted, Jun 2018.

  53. V. B. S. Prasath, D. N. H. Thanh. Structure tensor adaptive total variation for image restoration. Turkish Journal of Electrical Engineering & Computer Sciences, Revised, Jun 2018.

  54. V. Naghashi, V. B. S. Prasath. LETO - Local extrema tetra-occurrence pattern for content-based image retrieval. Submitted, Jun 2018.

  55. S. M. Hassan, S. M. Hossein#, V. B. S. Prasath. Anonymous submission. Submitted, Jun 2018.

  56. El Hadji S. Diop, Valerie Burdin, V. B. S. Prasath. Minimum existence of a segmentation functional based on geometrical active contours and prior shapes. Submitted, Jun 2018.

  57. Shiv Bidani^, R. Padma Priya, V. Vijayarajan, V. B. S. Prasath. Automatic body mass index detection using correlation of face visual cues. Submitted, May 2018.

  58. V. B. S. Prasath, J. C. Moreno. On convergent finite difference schemes for variational - PDE based image processing. Computational and Applied Mathematics, 37(2), 1562-1580, May 2018. Preliminary Version at arXiv:1310.7443.

  59. N. Salamat, V. B. S. Prasath. Construction of differential transformation method with artificial neural networks. Submitted, Apr 2018.

  60. 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, pp. 176-197, Mar 2018. (Project)

  61. B. Muthusenthil, C. Vijayakumaran, Hyunsung Kim, V. B. S. Prasath. Light weight block cipher based security and privacy approaches for CCTV based video surveillance System. Submitted, Mar 2018.

  62. A. Rashid*, N. Salamat, V. B. S. Prasath. An algorithm for data hiding in radiographic images and ePHI/R application. Technologies, 6(1), 7, Mar 2018. Preprint 10.20944/preprints201801.0104.v1

  63. M. M. S. Missen, M. Coustaty, N. Salamat, V. B. S. Prasath. SentiML++: An extension of the SentiML sentiment annotation scheme. New Review of Hypermedia and Multimedia, 24(1), 28-43, Mar 2018.

  64. N. Salamat, V. B. S. Prasath, M. M. S. Missen. Differential transformation method for solution of second order differential equations. Submitted, Mar 2018.

  65. V. B. S. Prasath. Deep learning based computer-aided diagnosis for neuroimaging data: focused review and future potential. Neuroimmunology and Neuroinflammation, 5(1), Jan 2018.

  66. V. B. S. Prasath. On video denoising with adaptive temporal averaging. Engineering Review, 2018.

  67. V. B. S. Prasath. Mathematical analysis of forward-backward diffusion PDEs from image processing. In Mathematics Applied to Engineering, Modelling, and Social Issues, Springer, 2018.

  68. V. B. S. Prasath. p(x)-Laplacian driven nonlinear diffusion and variable exponent function spaces. In Current Trends in Mathematical Analysis and its Interdisciplinary Applications, Birkhauser, 2018.

2017

  1. Divya Sharma^, V. B. S. Prasath V. Vijayarajan, Mohan Kubendiran, R. Padmapriya. Enhanced multi-view point non-negative matrix factorization clustering for clinical documents analysis. Biomedical and Pharmacology Journal, 10(4), 2135-2143, Dec 2017.

  2. V. B. S. Prasath, Dang N. H. Thanh, Nguyen H. Hai, Ngo X. Cuong. Image restoration with total variation and iterative regularization parameter estimation. The Eighth International Symposium on Information and Communication Technology (SoICT), Nha Trang, Vietnam. Proc. ACM, pp. 378-384, Dec 2017.

  3. L. Chen, V. B. S. Prasath. Measuring bone density connectivity using dual energy X-ray absorptiometry images. International Journal of Fuzzy Logic and Intelligent Systems, 17(4), 235-244, Dec 2017.

  4. V. B. S. Prasath, H. Kawanaka. Near-light perspective shape from shading for 3D visualizations in endoscopy systems. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas, USA. Proc. IEEE, pp. 2293-2295, Nov 2017.
    Download poster at figshare: 10.6084/m9.figshare.5526907 (Project)

  5. 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. International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H), IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas, USA. Proc. IEEE, pp. 1222-1226, Nov 2017.

  6. R. Pelapur, V. B. S. Prasath, J. C. Moreno, M. 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, USA. Proc. IEEE, pp. 921-926, Nov 2017.

  7. A. Rashid*, N. Salamat, V. B. S. Prasath. Anonymous submission. Submitted, Nov 2017.

  8. V. B. S. Prasath, A. B. Hassanat. Anonymous submission. Submitted, Oct 2017.

  9. V. B. S. Prasath. Image denoising by anisotropic diffusion with inter-scale information fusion. Pattern Recognition and Image Analysis, 27(4), 748-753, Oct 2017.

  10. Y. M. Kassim*, V. B. S. Prasath, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, K. Palaniappan. Microvasculature segmentation of arterioles using deep CNN. IEEE International Conference on Image Processing (ICIP), Beijing, China. Proc. IEEE, pp. 580-584, Sep 2017. (Slides)

  11. A. B. Hassanat, V. B. S. Prasath, B. M. Al-Mahadeen, S. M. M. Alhasanat*. Classification and gender recognition from veiled-faces. International Journal of Biometrics, 9(4), 347-364, Sep 2017. (Project)

  12. V. B. S. Prasath. Quantum noise removal in X-ray images with adaptive total variation regularization. Informatica, 28(3), 505-515, Sep 2017.

  13. A. Yonekura#, H. Kawanaka, V. B. S. Prasath, B. J. Aronow, H. Takase. Glioblastoma Multiforme tissue histopathology images based disease stage classification with deep CNN. International Conference on Informatics, Electronics & Vision (ICIEV), Hyogo, Japan. Proc. IEEE, Sep 2017. (Best Paper Award Finalist)

  14. A. B. Hassanat, V. B. S. Prasath, H. A. A. Alfeilat#, O. I. Lasassmeh. Distance and similarity measures effect on the performance of k-nearest neighbor classifier - A review. Submitted, Aug 2017. Preliminary Version at arXiv:1708.04321.

  15. 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, Jun 2017. Preprint 10.20944/preprints201611.0138.v1 (Project)

  16. A. Yonekura#, H. Kawanaka, V. B. S. Prasath, B. J. Aronow, and H. Takase. Disease stage classification for Glioblastoma Multiforme histopathological images using deep convolutional neural network. Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), Otsu, Japan, Jun 2017.

  17. H. Aliakbarpour, J. F. Ferreira, V. B. S. Prasath, K. Palaniappan, G. Seetharaman, J. Dias. A probabilistic framework for 3D reconstruction using heterogeneous sensors. IEEE Sensors, 17(9), 2640-2641, May 2017.

  18. V. B. S. Prasath. Tensor sketch - Scene sketch generation using structure tensor. Asian Journal of Physics, 26(3), 213-218, Apr 2017.

  19. V. B. S. Prasath. Vascularization from Flexible Imaging Color Enhancement (FICE) for polyp localization. Journal of Medicine and Life, 10(2), pp. 147-149, Apr 2017.

  20. V. B. S. Prasath. App review series: Radiology Pocket Game. Journal of Digital Imaging. 30(2), 127-129, Apr 2017.

  21. A. B. Hassanat, E. Btoush*, M. Ali Abbadi, B. M. Al-Mahadeen, M. Al-Awadi*, K. I. A. Mseidein*, A. M. Almseden*, A. S. Tarawneh*, M. B. Alhasanat, V. B. S. Prasath, F. A. Al-Alem*. Victory sign biometric for terrorists identification: Preliminary results. International Conference on Information and Communication Systems (ICICS), Irbid, Jordan. Proc. IEEE, pp. 182-187, Apr 2017. (Project, Press coverage)

  22. A. B. Hassanat, V. B. S. Prasath, K. I. Mseidein*, M. Al-Awadi*, A. M. Hammouri. A hybrid wavelet-shearlet approach to robust digital image watermarking. Informatica, 41(1), 3-24, Mar 2017.

  23. V. B. S. Prasath. Polyp detection and segmentation from video capsule endoscopy: A review. Journal of Imaging, 3(1), 1, Mar 2017. Preliminary Version at arXiv:1609.01915 (Project)

2016

  1. V. B. S. Prasath, Y. M. Kassim*, Z. A. Oraibi*, J.-B. Guiriec^, A. Hafiane, G. Seetharaman, K. Palaniappan. HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests. International Contests on Pattern Recognition Techniques for Indirect Immunofluorescence Images Analysis, International Conference on Pattern Recognition (ICPR), Cancun, Mexico. Proc. IEEE, pp. 90-95, Dec 2016. (Project)

  2. 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), pp. 8264-8285, Dec 2016.

  3. C. I. Sarmiento#, D. San-Juan, V. B. S. Prasath. Brief history of transcranial direct current stimulation (tDCS): From electrical fishes to microcontrollers. Psychological Medicine, 45(15), pp. 3259-3261, Nov 2016. (Project)

  4. V. B. S. Prasath, S. Surineni#, Ke Gao*, G. Seetharaman, K. Palaniappan. CSANG: Continuous scale anisotropic Gaussians for robust linear structure extraction. IEEE Applied Imagery Pattern Recognition (AIPR), Washington DC, USA. Proc. IEEE, Oct 2016.
    Download poster at figshare: 10.6084/m9.figshare.3175450 (Project)

  5. U. Sampathkumar#, V. B. S. Prasath, S. Meena*, K. Palaniappan. Assisted ground truth generation using interactive segmentation on a visualization and annotation tool. IEEE Applied Imagery Pattern Recognition (AIPR), Washington DC, USA. Proc. IEEE, Oct 2016.
    Download poster at figshare: 10.6084/m9.figshare.4036245

  6. R. Aktar*, V. B. S. Prasath, H. Aliakbarpour, U. Sampathkumar#, G. Seetharaman, K. Palaniappan. Video haze removal and Poisson blending based mini-mosaics for wide area motion imagery. IEEE Applied Imagery Pattern Recognition (AIPR), Washington DC, USA. Proc. IEEE, Oct 2016.
    Download poster at figshare: 10.6084/m9.figshare.4028409.v1

  7. Y. M. Kassim*, V. B. S. Prasath, O. Glinskii, V. Glinsky, V. Huxley, K. Palaniappan. Confocal vessel structure segmentation with optimized feature bank and random forests. IEEE Applied Imagery Pattern Recognition (AIPR), Washington DC, USA. Proc. IEEE, Oct 2016.

  8. V. B. S. Prasath. Adaptive coherence-enhancing diffusion flow for color images. Informatica, 40(3), 337-342, Sep 2016.

  9. K. Fukuma#, V. B. S. Prasath, H. Kawanaka, B. J. Aronow, H. Takase. A study on nuclei segmentation, feature extraction and disease stage classification for human brain histopathological images. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), York, UK. Procedia Computer Science, 96, pp. 1202-1020, Sep 2016.

  10. S. Meena*, V. B. S. Prasath, Y. M. Kassim*, R. J. Maude, O. Glinskii, V. Glinsky, V. Huxley, K. Palaniappan. Multiquadric spline-based interactive segmentation of vascular networks. 38th Annual International Conference EMBS (IEEE EMBS/EMBC), Orlando, USA. Proc. IEEE, pp. 5913-5916, Aug 2016. (Project)

  11. Y. M. Kassim*, V. B. S. Prasath, R. Pelapur*, O. Glinskii, V. Glinsky, V. Huxley, R. J. Maude, K. Palaniappan. Random forests for dura mater microvasculature segmentation using epifluorescence images. 38th Annual International Conference EMBS (IEEE EMBS/EMBC), Orlando, USA. Proc. IEEE, pp. 2901-2904, Aug 2016. (Project) EMBS Student Paper Competition Finalist!

  12. K. Fukuma#, V. B. S. Prasath, H. Kawanaka, B. J. Aronow, H. Takase. A study on feature extraction and disease stage classification for glioma pathology images. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Vancouver, Canada. Proc. IEEE, pp. 2150-2156, Aug 2016. (Project)

  13. P. Kalavathi, V. B. S. Prasath. Methods on skull stripping of MRI head scan images - A review. Journal of Digital Imaging, 29(3), 365-379, Jun 2016. (Project)

  14. J. C. Moreno, V. B. S. Prasath, J. C. Neves*. Color image processing by vectorial total variation with gradient channels coupling. Inverse Problems and Imaging, 10(2), 461-497, May 2016. (Project)

  15. P. Kalavathi, V. B. S. Prasath. Automatic segmentation of cerebral hemispheres in MR human head scans. International Journal of Imaging Systems and Technology - Neuroimaging and Brain Mapping, 26(1), 15-23, Mar 2016. (Project)

  16. J. C. Moreno, V. B. S. Prasath, G. Santos*, H. Proença. Robust periocular recognition by fusing sparse representations of color and geometry information. Journal of Signal Processing Systems, 82(3), 403-417, Mar 2016. Preliminary Version at arXiv:1309.2752 (Project)

2015

  1. V. B. S. Prasath, D. Vorotnikov, R. Pelapur*, Shani 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, Dec 2015. (Project)

  2. V. B. S. Prasath, P. Kalavathi. Mixed noise removal using hybrid fourth order mean curvature motion. International Workshop on Advances in Image Processing, Computer Vision, and Pattern Recognition (SIRS), Trivandrum, India. Proc. in Springer AISC 425 (eds.: S. M. Thampi, S. Bandyopadhyay, S. Krishnan, K.-C. Li, S. Mosin and M. Ma), pp. 625-632, Dec 2015.

  3. V. B. S. Prasath, P. Kalavathi. Adaptive nonlocal filtering for brain MRI restoration. International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS), Trivandrum, India. Proc. in Springer AISC 425 (eds.: S. M. Thampi, S. Bandyopadhyay, S. Krishnan, K.-C. Li, S. Mosin and M. Ma), pp. 571-580, Dec 2015.

  4. V. B. S. Prasath, R. Delhibabu. Automatic mucosa detection in video capsule endoscopy with adaptive thresholding. International Conference on Computational Intelligence in Data Mining (ICCIDM), Bhubaneswar, India. Proc. Springer SIST 410 (Eds.: H. S. Behera, D. P. Mohapatra), pp. 95-102, Dec 2015. (Project)

  5. C. I. Sarmiento#, V. B. S. Prasath. Design of a novel servo-motorized laser device for visual pathways diseases therapy. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 6(1-4), pp. 84-90, Dec 2015.

  6. H. Aliakbarpour, V. B. S. Prasath, J. Dias. On optimal multi-sensor network configuration for 3D registration. Journal of Sensor and Actuator Networks, 4(4), 293-314, Nov 2015. Special issue on 3D Wireless Sensor Network.

  7. V. B. S. Prasath, H. Kawanaka. Vascularization features for polyp localization in capsule endoscopy. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Washington, DC, USA. Proc. IEEE, 1740-1742, Nov 2015.

  8. 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, 1734-1736, Nov 2015.

  9. 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), Oct 2015. Preprint 15-07, Department of Mathematics, University of Coimbra, Portugal. (Project)

  10. K. Fukuma#, H. Kawanaka, V. B. S. Prasath, B. J. Aronow, H. Takase. Feature extraction and disease stage classification for glioma histopathology images. IEEE International Conference on E-health Networking, Application & Services (HealthCom), Boston, USA. Proc. IEEE, pp. 598-599, Oct 2015. Poster paper. (Project)

  11. V. B. S. Prasath. On fuzzification of color spaces for medical decision support in video capsule endoscopy. Modern Artificial Intelligence and Cognitive Science (MAICS), Greensboro, NC, USA. Proc. IEUR 1353 (Eds. M. Glass J. H. Kim), pp. 147-151, Apr 2015.

  12. V. B. S. Prasath, R. Pelapur*, O. V. Glinskii, V. V. Glinsky, V. H. 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, Apr 2015.
    Download poster at figshare: 10.6084/m9.figshare.1309773 (Project)

  13. V. B. S. Prasath, R. Delhibabu. Color image restoration with fuzzy Gaussian mixture model driven nonlocal filter. Analysis of Images, Social Networks, and Texts (AIST), Yekaterinburg, Russia. Proc. in Springer CCIS 542 (eds.: M. Y. Khachay, N. Konstantinova, A. Panchenko, D. I. Ignatov, V.G. Labunets), pp. 137-145, Apr 2015.

2014

  1. V. B. S. Prasath, R. Delhibabu. Automatic image segmentation for video capsule endoscopy. International Conference on Computational Intelligence: Health and Disease (CIHD), Visakhapatnam, India. Proc. Springer CIMI (eds. N. B. Muppalaneni, V. K. Gunjan), pp. 73-80, Dec 2014. (Project)

  2. V. B. S. Prasath, R. Delhibabu. Automatic contrast enhancement for wireless capsule endoscopy videos with spectral optimal contrast-tone mapping. International Conference on Computational Intelligence in Data Mining (ICCIDM), Burla, India. Proc. Springer SIST 31 (eds. L. C. Jain, H. S. Behera, J. K. Mandal, D. P. Mohapatra), pp. 243-250, Dec 2014. (Project)

  3. V. B. S. Prasath, R. Delhibabu. Image inpainting with modified F-transform. Joint International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO), Visakhapatnam, India. Proc. Springer LNCS 8947. (eds. B.K. Panigrahi, P. N. Suganthan, S. Das), pp. 856-867, Dec 2014.

  4. V. B. S. Prasath, R. Delhibabu. Image restoration with fuzzy coefficient driven anisotropic diffusion. Joint International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO), Visakhapatnam, India. Proc. Springer LNCS 8947 (eds. B.K. Panigrahi, P. N. Suganthan, S. Das), pp. 145-155, Dec 2014.

  5. 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. Proc. IEEE, pp. 4378-4382, Oct 2014. Download poster at figshare: 10.6084/m9.figshare.1203638 (Project)

  6. R. Pelapur*, V. B. S. Prasath, F. Bunyak, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, K. Palaniappan. Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation. 36th Annual International Conference EMBS (IEEE EMBS/EMBC), Chicago, USA. Proc. IEEE, pp. 4735-4738, Aug 2014. Download poster at figshare: 10.6084/m9.figshare.1147490 (Project).

  7. V. B. S. Prasath, R. Pelapur*, and K. Palaniappan. Multi-scale directional vesselness stamping based segmentation for polyps from wireless capsule endoscopy. 36th Annual International Conference EMBS (IEEE EMBS/EMBC), Chicago, USA, Aug 2014. Late breaking research poster paper. Download poster at figshare: 10.6084/m9.figshare.1087896. (Project)

  8. J. C. Moreno, V. B. S. Prasath, H. Proença, K. Palaniappan. Fast and globally convex multiphase active contours for brain MRI segmentation. Computer Vision and Image Understanding, 125, 237-250, Aug 2014. Preliminary Version at arXiv:1308.6056. (Project)

  9. V. B. S. Prasath, D. Vorotnikov. Weighted and well-balanced anisotropic diffusion scheme for image denoising and restoration. Nonlinear Analysis: Real World Applications, 17, 33-46, Jun 2014.

  10. V. B. S. Prasath, R. Pelapur*, K. Palaniappan, G. Seetharaman. Feature fusion and label propagation for textured object video segmentation. Geospatial InfoFusion and Video Analytics IV, SPIE Defense+Security (DSS), Baltimore, MD, USA. Proc. SPIE 9089, May 2014.

  11. V. B. S. Prasath, O. Haddad#. Radar shadow detection in synthetic aperture radar images using digital elevation model and projections. Journal of Applied Remote Sensing, 8(1), 083628, May 2014. Preliminary Version at arXiv:1309.1830. Supplementary files, data set containing images, results are available at figshare: 10.6084/m9.figshare.659896. (Project)

  12. V. B. S. Prasath, R. Delhibabu. Automatic contrast parameter estimation in anisotropic diffusion for image restoration. Analysis of Images, Social Networks, and Texts (AIST), Yekaterinburg, Russia. Proc. in Springer CCIS 436 (eds.: D. I. Ignatov, M. Khachay, A. Panchenko, N. Konstantinova, R. Yavorsky), pp. 198-206, Apr 2014. (Best Paper Award)

  13. 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, Jan 2014. Preliminary Version at arXiv (Project, slides).

2013

  1. V. B. S. Prasath, J. C. Moreno. Feature preserving anisotropic diffusion for image restoration. National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), IIT Jodhpur, India. Proc. IEEE, Dec 2013.

  2. J. C. Moreno, V. B. S. Prasath, H. Proença. Robust periocular recognition by fusing local to holistic sparse representation. International Conference on Security of Information and Networks (SIN), Aksaray, Turkey. Proc. ACM, pp. 160-164, Nov 2013.

  3. V. B. S. Prasath, F. Bunyak, O. Haddad#, O. Glinskii, V. Glinsky, V. Huxley, K. Palaniappan. Robust filtering based segmentation and analysis of Dura Mater vessels using epifluorescence microscopy. 35th Annual International Conference EMBS (IEEE EMBS/EMBC), Osaka, Japan. Proc. IEEE, pp. 6055-6058, Jul 2013. (Project).

2012

  1. V. B. S. Prasath, K. Palaniappan, G. Seetharaman. Multichannel texture image segmentation using local feature fitting based variational active contours. Indian Conference on Vision, Graphics and Image Processing, (ICVGIP), IIT Bombay, India. Proc. ACM, Dec 2012. (Project)

  2. V. B. S. Prasath, F. Bunyak, Paul. S. Dale, Shellaine R. Frazier, K. Palaniappan. Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology, IEEE Healthcare Innovation Conference: Translational Engineering in Health & Medicine, (IEEE EMBS-HIC), Houston, USA, Nov 2012. (Project).

  3. I. N. Figueiredo, J. C. Moreno*, V. B. S. Prasath. Texture image segmentation with smooth gradients and local information. Computational Modeling of Objects Presented in Images: Fundamentals, Methods and Applications (CompIMAGE), Rome, Italy. Proc. in CRC Press, (eds.: P. Di Giamberardino, D. Iacoviello, R. M. N. Jorge, J. M. Tavares), pp. 115-119, Sep 2012.

  4. 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 EMBS (IEEE EMBS/EMBC), San Diego, USA. Proc. IEEE, pp. 4014-4017, Aug 2012. (Project)

  5. 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, Jun 2012.

  6. V. B. S. Prasath, A. Singh. An adaptive anisotropic diffusion scheme for image restoration and selective smoothing. International Journal of Image and Graphics, 12(1), Jan 2012.

2011

  1. V. B. S. Prasath. A well-posed multiscale regularization scheme for digital image denoising. International Journal of Applied Mathematics and Computer Science, 21(4), 769-777, Dec 2011.

  2. V. B. S. Prasath. Weighted laplacian differences based multispectral anisotropic diffusion. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver BC, Canada. Proc. IEEE, pp. 4042-4045, Jul 2011. (Project)

  3. V. B. S. Prasath, I. N. Figueiredo, P. N. Figueiredo. Colonic mucosa detection in wireless capsule endoscopic images and videos. Congress on Numerical Methods in Engineering (CMNE), Coimbra, Portugal, Jun 2011. (Project)

  4. J. C. Moreno*, I. N. Figueiredo, V. B. S. Prasath. Texture image segmentation using higher order derivatives. Congress on Numerical Methods in Engineering (CMNE), Coimbra, Portugal, Jun 2011.

  5. P. N. Figueiredo, I. N. Figueiredo, S. Prasath and R. Tsai. Automatic polyp detection in PillCam COLON 2 capsule images and videos: preliminary feasibility report. Diagnostic and Therapeutic Endoscopy, Article ID 182435, 16 pages, Mar 2011.

2010

  1. I. N. Figueiredo, S. Prasath, Y.-H. R. Tsai, P. N. Figueiredo. Automatic detection and segmentation of colonic polyps in wireless capsule images. UCLA-CAM Report 10-65, Sep 2010.

  2. I. N. Figueiredo, J. Moreno*, S. Prasath, P. Figueiredo. A segmentation model using image gradient information and applications to endoscopic images. Preprint 10-30, Department of Mathematics, University of Coimbra, Sep 2010.

  3. V. B. S. Prasath, A. Singh. Multichannel image restoration using combined channel information and robust M-estimator approach. International Journal of Tomography and Statistics, 15(F10), 9-22, 2010.

  4. V. B. S. prasath, A. Singh. Well-posed inhomogeneous nonlinear diffusion scheme for digital image denoising. Journal of Applied Mathematics, Article ID 763847, 14 pages, Apr 2010.

  5. V. B. S. Prasath, A. Singh. Multispectral image denoising by well-posed anisotropic diffusion scheme with channel coupling. International Journal of Remote Sensing, 31(8), 2091-2099, Mar 2010. (Project)

  6. V. B. S. prasath, A. Singh. A hybrid convex variational model for image restoration. Applied Mathematics and Computation, 215(10), 3655-3664, Jan 2010.

2009

  1. V. B. S. Prasath. Color image segmentation based on vectorial multiscale diffusion with inter-scale linking. International Conference on Pattern Recognition and Machine Intelligence (PReMI), Delhi, India. Proc. Springer LNCS 5909 (eds.: S. Chaudhury, S. Mitra, C. A. Murthy, P. S. Sastry, Sankar K. Pal), pp. 339-344, Dec 2009.

  2. V. B. S. Prasath, A. Singh. Ringing artifact reduction in blind image deblurring and denoising problems by regularization methods. International Conference on Advances in Pattern Recognition (ICAPR), Kolkata, India. Proc. IEEE, pp. 333-336, Feb 2009.

  3. V. B. Surya prasath. Nonlinear partial differential equations in computer vision. International Conference on Mathematics and Computer Science (ICMCS), Chennai, India, Jan 2009.

2008

  1. V. B. S. Prasath, A. Singh. Edge detectors based anisotropic diffusion for enhancement of digital images. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Bhubaneswar, India. Proc. IEEE, pp. 33-38, Dec 2008. (Best Paper Award)

  2. V. B. S. prasath, A. singh. The role of edge indicator function in Perona-Malik diffusion equation. International Conference on Recent Trends in Computational Partial Differential Equations (ICCPDE), Mumbai, India, Dec 2008.

  3. V. B. S. prasath. Robust M-estimators in early computer vision problems. International Conference On New Trends in Statistics and Optimization (ICONTSO), Kashmir, India, Oct 2008. (Best Paper Award)

  4. V. B. S. Prasath, A. Singh. Controlled inverse diffusion models for image restoration and enhancement. International Conference on Emerging Trends in Engineering and Technology (ICETET), Nagpur, India. Proc. IEEE, pp. 90-94, Jul 2008.

^Undergraduate, #Master student, *PhD student

See also the Publication List with abstract, PDFs, and bibtex at CiVA Lab website. If you are interested in any of these works, please email me for more details.
Abstracts of the conference papers are available. For a research topic based listing of publications see my research page. See also my profiles at ArXiv, ORCID, DBLP (Engineering), AMS-MathSciNet (Mathematics, requires subscription), ResearchGate. My Google Scholar page lists indexed publications and their citations so far in chronological fashion.