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2019

  1. 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, Dec 2019. (Project)

  2. H. A. A. Alfeilat#, A. B. Hassanat, O. I. 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), Dec 2019.

  3. M. Jagannath, K. Adalarasu, N. Nathiya, J. Saravana Kumar, S. Geetha, L. Bhaskara Rao, V. B. S. Prasath. Anonymous submission, Dec 2019. Submitted.

  4. S. Boopathiraja*, P. Kalavathi, V. B. S. Prasath. Anonymous submission, Dec 2019. Submitted.

  5. B. Muthusenthil, Hyunsung Kim, V. B. S. Prasath. Anonymous submission, Dec 2019. Submitted.

  6. D. N. H. Thanh, Le Thi Thanh, P. Kalavathi, V. B. S. Prasath. Chest X-ray image denoising using Nesterov optimization method with total variation regularization. International Conference on Computing and Network Communications, Dec 2019. Procedia Computer Science.

  7. Nguyen Minh Hue, D. N. H. Thanh, Le Thi Thanh, Nguyen Ngoc Hien, V. B. S. Prasath. Image denoising with overlapping group sparsity and second order total variation regularization. 6th NAFOSTED Conference on Information and Computer Science (NICS), Dec 2019. Proc. IEEE.

  8. Nguyen Van Son, D. N. H. Thanh, U. Erkan, V. B. S. Prasath. An image inpainting method based on adaptive fuzzy switching median. 6th NAFOSTED Conference on Information and Computer Science (NICS), Dec 2019. Proc. IEEE.

  9. D. Saito#, H. Kawanaka, S. Tsuruoka, B. J. Aronow, V. B. S. Prasath. Explainable deep CNN for automatic disease stage prediction in glioma histopathology images. Submitted, Dec 2019.

  10. Balaji Iyer*, Smruti Deoghare*, Samuel Hacker^, Vivek J. Khandwala, David T. Wang, Daniel Woo, Achala S. Vagal, V. B. S. Prasath. Automatic intracranial hemorrhage detection from brain CT scans using ensemble CNN. Submitted, Dec 2019.

  11. Montek Singh^, Subhaditya Mukherjee^, V. Vijayarajan, V. B. S. Prasath. HEp-2 cell segmentation with efficient conditional classifier generative adversarial networks. Submitted, Dec 2019.

  12. A. B. Hassanat, K. Almohammadi, E. Alkafaween*, E. Y. Abunawas*, A. M. Hammouri, V. B. S. Prasath. Choosing mutation and crossover ratios for genetic algorithms – A review with a new dynamic approach. Information, 10(12), 390, 2019. Section - Artificial Intelligence.

  13. Nicholas Szugye, Nicholas J. Ollberding, Philip R. Khoury, Balaji Iyer*, V. B. S. Prasath, Chet Villa, Angela Lorts, Michael Taylor, Farhan Zafar, David L. S. Morales, Ryan A. Moore. Predicting total cardiac volume for donor-recipient size matching: Case for an image-based deep learning approach. American Heart Association Scientific Sessions, Philadelphia, PA, USA, Nov 2019. Proc. Circulation.

  14. Deepa Mani*, Anand Mahendran, V. Vijayarajan, Rajeshkannan Regunathan, V. B. S. Prasath. Modelling resource failures and risk assessments in cloud environments. Submitted, Nov 2019.

  15. Le Thi Thanh, D. N. H. Thanh, Nguyen Minh Hue, V. B. S. Prasath. Single image dehazing based on adaptive histogram equalization and linearization of gamma correction. Asia-Pacific Conference on Communications (APCC), Da Nang, Vitenam, Nov 2019. Proc. IEEE.

  16. Le Thi Thanh, D. N. H. Thanh, V. B. S. Prasath. Adaptive texts deconvolution method for real natural images. Asia-Pacific Conference on Communications (APCC), Da Nang, Vitenam, Nov 2019. Proc. IEEE.

  17. Chintan Rajvir^, Shikhar Agarwal^, Anand Mahendran, V. Vijayarajan, V. B. S. Prasath. Anonymous submission, Nov 2019. Submitted.

  18. 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, Nov 2019. Proc. IEEE.

  19. S. Boopathiraja*, P. Kalavathi, V. B. S. Prasath. Optimal multilinear singular value decomposition based three dimensional medical images compression. Submitted, Nov 2019.

  20. Nguyen Hoang Hai, Dang N. H. Thanh, Nguyen Ngoc Hien, Chinthaka Premachandra, V. B. S. Prasath. A fast denoising algorithm for X-ray images with variance stabilizing transform. International conference on Knowledge and Systems Engineering (KSE), Da Nang, Vietnam. Proc. IEEE, Oct 2019.

  21. V. B. S. Prasath, D. N. H. Thanh, Le Thi Thanh, Nguyen Quang San, Sergey Dvoenko. Human visual system consistent model for wireless capsule endoscopy image enhancement and applications. Submitted, Oct 2019.

  22. D. N. H. Thanh, V. B. S. Prasath, Le Minh Hieu, Nguyen Ngoc Hien. Anonymous submission. Revised, Oct 2019.

  23. El Hadji S. Diop, Valerie Burdin, V. B. S. Prasath. On the existence of a minimum for a variational image segmentation problem. Submitted, Oct 2019.

  24. M. M. S. Missen, Sajeeha Qureshi, N. Salamat, N. Akhtar, H. Asmat, M. Coustaty, V. B. S. Prasath. Anonymous submission, Oct 2019. Revised.

  25. Mohan Jagannath, Kanagasabai Adalarasu, V. B. S. Prasath. Anonymous submission, Sep 2019. Submitted.

  26. A. Pranav^, R. Rajeshkannan, V. Vijayarajan, V. B. S. Prasath. Break, Make, and Take: An information retrieval approach. Sādhanā, 44, 204, 11pp, Sep 2019.

  27. V. B. S. Prasath. Review of deep learning techniques for polyps detection in gastrointestinal endoscopy. Submitted, Sep 2019.

  28. V. B. S. Prasath. Deep learning compression frameworks for video capsule endoscopy. Submitted, Aug 2019.

  29. D. N. H. Thanh, Nguyen Ngoc Hien, V. B. S. Prasath, Ugur Erkan, Aditya Khamparia. Adaptive thresholding skin lesion segmentation with Gabor filters and principal component analysis. International Conference on Research in Intelligent and Computing in Engineering (RICE), Hanoi, Vietnam, Aug 2019. Proc. Springer AISC.

  30. V. B. S. Prasath, J. Moreno. Anonymous submission, Jul 2019. Submitted.

  31. D. N. H. Thanh, Nguyen Hoang Hai, V. B. S. Prasath, Le Minh Hieu, J. M. R. S. Tavares. A two-stage filter for high density salt and pepper denoising. Submitted, Jul 2019.

  32. 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, (eds.: A. K. Singh, A. Mohan), Springer, 431-448, Jul 2019.

  33. S. M. H. Mousavi#, V. Lyashenko, V. B. S. Prasath. Analysis of a robust edge detection system in different color spaces using color and depth images. Computer Optics, 43(4), 632-646, Jul 2019.

  34. N. Salamat, Muhammad Mustahsan, M. M. S. Missen, Nadeem Akhtar, Maruf Pasha, Amnah Firdous, Aqsa Rashid, V. B. S. Prasath. Non small cells lungs cancer interpretation via spatial relations. Submitted, Jun 2019.

  35. R. Younis, M. M. S. Missen, M. Coustaty, N. Akhtar, S. Qadri, D. M. Khan, V. B. S. Prasath. Anonymous submission, Jun 2019. Submitted.

  36. V. Vijayarajan, V. B. S. Prasath, P. K. Hazarika^, S. Saraff^. Classification based image retrieval using support vector machines. Baltic Journal of Modern Computing, Revised, Jun 2019.

  37. D. N. H. Thanh, Nguyen Hoang Hai, Le Minh Hieu, V. B. S. Prasath. A dermoscopic images segmentation method based on linearization of gamma-correction and convolutional neural networks. Submitted, Jun 2019.

  38. D. N. H. Thanh, Nguyen Hoang Hai, V. B. S. Prasath, Le Minh Hieu, Prayag Tiwari*. Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation. Submitted, Jun 2019.

  39. V. Naghashi#, V. B. S. Prasath. LETO - Local extrema tetra-occurrence pattern for content-based image retrieval. Revised, Jun 2019.

  40. A. Al-Btoush#, A. Hassanat, A. Tarawneh, A. Hasanat, V. B. S. Prasath. New features for eye-tracking systems: Preliminary results, 10th International Conference on Information and Communication Systems (ICICS), Irbid, Jordan. Proc. IEEE, pp. 179-184, Jun 2019.

  41. D. N. H. Thanh, V. B. S. Prasath, Le Minh Hieu, H. Kawanaka. Image inpainting method based on mixed median. Joint 8th International Conference on Informatics, Electronics and Vision (ICIEV) and 3rd International Conference on Imaging, Vision & Pattern Recognition (IVPR), Spokane, WA USA. Proc. IEEE, pp. 24-29, Jun 2019.

  42. D. N. H. Thanh, V. B. S. Prasath, Le Minh Hieu. A review on CT and X-ray images denoising methods. Informatica, 43(2), 151-159, Jun 2019.

  43. V. B. S. Prasath. Video denoising with adaptive temporal averaging. Engineering Review, 39(3), 243-247, Jun 2019.

  44. V. B. S. Prasath, D. N. H. Thanh, Le Thi Thanh, San Nguyen Quang, Sergey Dvoenko. Wireless capsule endoscopy image enhancement with a human visual system consistent model. International Conference on Pattern Recognition and Information Processing (PRIP), Minsk, Belarus, 271-274, May 2019.

  45. D. N. H. Thanh, Le Thi Thanh, Sergey Dvoenko, V. B. S. Prasath, San Nguyen Quang. Adaptive thresholding segmentation method for skin lesion with normalized color channels of NTSC and YCbCr. International Conference on Pattern Recognition and Information Processing (PRIP), Minsk, Belarus, 147-152, May 2019.

  46. 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. International Workshop on Photogrammetric and Computer Vision Techniques for Video surveillance, Biometrics and Biomedicine (PSBB), Moscow, Russia. Proc. ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W12, 211-218, May 2019.

  47. 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, 43(2), 251-271, May 2019.

  48. D. N. H. Thanh, U. Erkan, V. B. S. Prasath, Vivek Kumar, Nguyen Ngoc Hien. A skin lesion segmentation method for dermoscopic images based on adaptive thresholding with normalization of color models. International Conference on Electrical and Electronics Engineering (ICEEE), Istanbul, Turkey. Proc. IEEE, pp. 116-120, Apr 2019.

  49. M. M. S. Missen, M. Coustaty, Gyu Sang Choi, Fahd S. Alotaibi, N. Akhtar, M. Z. Jhandir, V. B. S. Prasath, N. Salamat, M. Husnain. OpinionML – Opinion markup language for sentiment representation. Symmetry, 11(4), 545, Apr 2019.

  50. M. M. S. Missen, A. Naeem, H. Asmat, N. Salamat, N. Akhtar, M. Coustaty, V. B. S. Prasath. Anonymous submission, Mar 2019. Submitted.

  51. Jia Qian#, S. P. Gochhayat, Sibasankar Padhy, Nalin Jayakody, P. Tiwari*, V. B. S. Prasath. CULT - ECG compression by unsupervised dictionary learning techniques. Submitted, Mar 2019.

  52. D. N. H. Thanh, Nguyen Van Son, V. B. S. Prasath. Distorted image reconstruction method with trimmed median. International Conference on Recent Advances in Signal Processing, Telecommunications and Computing (SigTelCom), Hanoi, Vietnam. Proc. IEEE, pp. 58-62, Mar 2019.

  53. D. N. H. Thanh, Le Thi Thanh, V. B. S. Prasath, U. Erkan. An improved BPDF filter for high density salt and pepper denoising. IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF), Danang, Vietnam. Proc. IEEE, Mar 2019.

  54. 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 IoT and Big Data (eds.: V. K. Solanki, V. G. Diaz, P. J. Davim), CRC Press, 59-79, Mar 2019.

  55. V. B. S. Prasath, D. N. H. Thanh. Structure tensor adaptive total variation for image restoration. Turkish Journal of Electrical Engineering and Computer Sciences, 27(2), 1147-1156, Mar 2019.

  56. 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. 9(1), 1-9, Mar 2019.

  57. Sarada Prasad Gochhayat, Pallavi Kaliyar*, Mauro Conti, Prayag Tiwari*, V. B. S. Prasath, Deepak Gupta, Ashish Khanna. LISA: Lightweight context-aware IoT service architecture. Journal of Cleaner Production, 212, 1345-1356, Mar 2019.

  58. S. M. H. Mousavi#, V. B. S. Prasath. On the feasibility of estimating fruits weights using depth sensors. 4ICSDA, Feb 2019.

  59. M. M. S. Missen, Mickael Coustaty, Hina Asmat, Amnah Firdous, Nadeem Akhtar, Muhammad Akram, V. B. S. Prasath. 2Es of TIS: A review of information exchange and extraction in tourism information systems. Recommender System with Machine Learning and Artificial Intelligence: Practical Tools and Applications, 2019.

  60. B. Muthusenthil, H. Kim, V. B. S. Prasath. Location verification technique for cluster based geographical routing in MANET. Informatica, 2019.

  61. Dang N. H. Thanh, Le Thi Thanh, Nguyen Ngoc Hien, V. B. S. Prasath. Adaptive total variation L1 regularization for salt and pepper image denoising. Optik, 2019.

  62. Tomohiro Hayakawa#, V. B. S. Prasath, H. Kawanaka, B. J. Aronow, Shinji Tsuruoka. Computational Nuclei Segmentation Methods in Digital Pathology - A Survey. Archives of Computational Methods in Engineering, 2019.

  63. M. M. S. Missen, A. Javed, H. Asmat, M. Nosheen, M. Coustaty, N. Salamat, V. B. S. Prasath. Systematic Review and Usability Evaluation of Writing Mobile Apps for Children, New Review of Hypermedia and Multimedia, 2019. Special issue on Advances in Multimedia and Educational Technology.

  64. D. N. H. Thanh, V. B. S. Prasath, Le Minh Hieu, S. Dvoenko. An adaptive method for image restoration based on high order total variation and inverse gradient. Signal, Image and Video Processing, 2019.

  65. Shiv Bidani^, R. Padma Priya, V. Vijayarajan, V. B. S. Prasath. Automatic body mass index detection using correlation of face visual cues. Technology and Health Care, 2019.

  66. Le Minh Hieu, D. N. H. Thanh, V. B. S. Prasath. Second order monotone difference schemes with approximation on non-uniform grids for two-dimensional quasilinear parabolic convection-diffusion equations. Vestnik St. Petersburg University, Mathematics, 2019.

  67. El Hadji S. Diop, Abdel-Ouahab Boudraa, V. B. S. Prasath. Optimal nonlinear signal approximations based on piecewise constant functions. Circuits, Systems and Signal Processing, 2019.

  68. M. Husnain, M. M. S. Missen, N. Akhtar, M. Coustaty, S. Mumtaz, V. B. S. Prasath. A systematic study on the role of SentiWordNet in opinion mining. Frontiers in Computer Science, 2019.

  69. D. N. H. Thanh, V. B. S. Prasath, Le Minh Hieu, Nguyen Ngoc Hien. Melanoma skin cancer detection method based on adaptive principal curvature, color normalization and features extraction with the ABCD rule. Journal of Digital Imaging, 2019.

  70. Montek Singh^, Utkarsh Bajpai^, V. Vijayarajan, V. B. S. Prasath. Generation of fashionable clothes using generative adversarial networks – A preliminary feasibility study. International Journal of Clothing Science and Technology, 2019.

  71. N. H. Hai, L. M. Hieu, D. N. H. Thanh, N. Van Son, V. B. S. Prasath. An adaptive image inpainting method based on the weighted mean. Informatica, 2019.

  72. D. N. H. Thanh, V. B. S. Prasath, S. Dvoenko, L. M. Hieu. Anonymous submission. Signal Processing, 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. 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, pp. 171-181, 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). Proc. IEEE, pp. 400-405, Nov 2018.

  4. 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), Sep 2018.

  5. 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), pp. 321-327, Aug 2018.

  6. 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), Hue, Vietnam. Proc. IEEE, pp. 278-282, Jul 2018.

  7. 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), Hue, Vietnam. Proc. IEEE, pp. 267-272, Jul 2018.

  8. 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.

  9. V. B. S. Prasath. Automatic image and video analysis for capsule endoscopy - An open frontier. International Journal of Robotic Engineering, 3(1), Jun 2018.

  10. 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). Proc. IEEE, pp. 442-446, Jun 2018.

  11. 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.

  12. 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.

  13. 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.

  14. 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, Mar 2018. (Project)

  15. 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

  16. 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.

  17. 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.

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, Nov 2017. Submitted.

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

  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. 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)

  15. 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.

  16. 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.

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

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

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

  20. 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)

  21. 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.

  22. 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), 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), 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), 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, pp. 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, pp. 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. (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

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.
See also the Publication List with abstract, PDFs, and bibtex at CiVA Lab website (upto 2017)