| Conditional spatial fuzzy C-means clustering algorithm for segmentation of MRI images SK Adhikari, JK Sing, DK Basu, M Nasipuri Applied soft computing 34, 758-769, 2015 | 205 | 2015 |
| Local contextual information and Gaussian function induced fuzzy clustering algorithm for brain MR image segmentation and intensity inhomogeneity estimation N Mahata, S Kahali, SK Adhikari, JK Sing Applied Soft Computing 68, 586-596, 2018 | 56 | 2018 |
| A modified fuzzy C‐means algorithm using scale control spatial information for MRI image segmentation in the presence of noise JK Sing, SK Adhikari, DK Basu Journal of Chemometrics 29 (9), 492-505, 2015 | 40 | 2015 |
| A two-stage fuzzy multi-objective framework for segmentation of 3D MRI brain image data S Kahali, SK Adhikari, JK Sing Applied Soft Computing 60, 312-327, 2017 | 36 | 2017 |
| A spatial fuzzy C-means algorithm with application to MRI image segmentation SK Adhikari, JK Sing, DK Basu, M Nasipuri 2015 Eighth International Conference on Advances in Pattern Recognition …, 2015 | 28 | 2015 |
| On estimation of bias field in MRI images: polynomial vs Gaussian surface fitting method S Kahali, SK Adhikari, JK Sing Journal of Chemometrics 30 (10), 602-620, 2016 | 16 | 2016 |
| A nonparametric method for intensity inhomogeneity correction in MRI brain images by fusion of Gaussian surfaces SK Adhikari, JK Sing, DK Basu, M Nasipuri, PK Saha Signal, Image and Video Processing 9 (8), 1945-1954, 2015 | 16 | 2015 |
| Segmentation of MRI brain images by incorporating intensity inhomogeneity and spatial information using probabilistic fuzzy c-means clustering algorithm SK Adhikari, JK Sing, DK Basu, M Nasipuri, PK Saha 2012 International Conference on Communications, Devices and Intelligent …, 2012 | 13 | 2012 |
| On estimation of bias field in MRI images JK Sing, SK Adhikari, S Kahali 2015 IEEE International Conference on Computer Graphics, Vision and …, 2015 | 7 | 2015 |
| Conditional spatial fuzzy c-means clustering algorithm with application in MRI image segmentation SK Adhikari, JK Sing, DK Basu, M Nasipuri Information Systems Design and Intelligent Applications: Proceedings of …, 2015 | 7 | 2015 |
| Convolution of 3D Gaussian surfaces for volumetric intensity inhomogeneity estimation and correction in 3D brain MR image data S Kahali, SK Adhikari, JK Sing IET Computer Vision 12 (3), 288-297, 2018 | 6 | 2018 |
| 3D MRI brain image segmentation: A two-stage framework S Kahali, SK Adhikari, JK Sing Computational Intelligence, Communications, and Business Analytics: First …, 2017 | 3 | 2017 |
| Bias field estimation and segmentation of MRI images using a Spatial Fuzzy C-means algorithm SK Adhikari, JK Sing, DK Basu 2016 2nd International Conference on Control, Instrumentation, Energy …, 2016 | 3 | 2016 |
| A fuzzy clustering algorithm with local contextual information and Gaussian function for simultaneous brain MR image segmentation and intensity inhomogeneity estimation N Mahata, S Kahali, JK Sing, SK Adhikari 2017 2nd International conference on man and machine interfacing (MAMI), 1-6, 2017 | 1 | 2017 |
| Performance Analysis of Healthcare Information in Big Data NoSql Platform SS Mondal, S Mondal, SK Adhikari Doctoral Symposium on Intelligence Enabled Research, 235-247, 2022 | | 2022 |
| Quality Analysis of the Ganges River Water Utilizing Machine Learning Technologies P Dey, SK Adhikari, A Gain, S Koner Doctoral Symposium on Intelligence Enabled Research, 11-20, 2022 | | 2022 |
| Applications of Big Data in Various Fields: A Survey SS Mondal, S Mondal, SK Adhikari Doctoral Symposium on Intelligence Enabled Research, 221-233, 2022 | | 2022 |
| Some studies on segmentation of medical images and related issues SK Adhikari Kolkata, 0 | | |
