Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1875 | 2018 |
Rough Set Based Generalized Fuzzy C-Means Algorithm and Quantitative Indices P Maji, SK Pal Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 37 …, 2007 | 269 | 2007 |
RFCM: a hybrid clustering algorithm using rough and fuzzy sets P Maji, SK Pal Fundamenta Informaticae 80 (4), 475-496, 2007 | 196 | 2007 |
Theory and application of cellular automata for pattern classification P Maji, C Shaw, N Ganguly, BK Sikdar, PP Chaudhuri Fundamenta Informaticae 58 (3-4), 321-354, 2003 | 148 | 2003 |
Rough set based maximum relevance-maximum significance criterion and gene selection from microarray data P Maji, S Paul International Journal of Approximate Reasoning 52 (3), 408-426, 2011 | 143 | 2011 |
Content-based image retrieval using visually significant point features M Banerjee, MK Kundu, P Maji | 97 | 2009 |
Rough-fuzzy clustering for grouping functionally similar genes from microarray data P Maji, S Paul IEEE/ACM transactions on computational biology and bioinformatics 10 (2 …, 2012 | 96 | 2012 |
Rough-fuzzy pattern recognition: applications in bioinformatics and medical imaging P Maji, SK Pal John Wiley & Sons, 2012 | 96 | 2012 |
Fuzzy–rough sets for information measures and selection of relevant genes from microarray data P Maji, SK Pal IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009 | 96 | 2009 |
Fuzzy–rough supervised attribute clustering algorithm and classification of microarray data P Maji IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2010 | 89 | 2010 |
A rough hypercuboid approach for feature selection in approximation spaces P Maji IEEE Transactions on Knowledge and Data Engineering 26 (1), 16-29, 2012 | 80 | 2012 |
Mutual information based supervised attribute clustering for microarray sample classification P Maji IEEE Transactions on Knowledge and Data Engineering 24 (1), 127-140, 2012 | 74 | 2012 |
Fuzzy cellular automata for modeling pattern classifier P Maji, PP Chaudhuri IEICE Transactions on Information and Systems 88 (4), 691-702, 2005 | 70 | 2005 |
Feature selection using f-information measures in fuzzy approximation spaces P Maji, SK Pal IEEE Transactions on Knowledge and Data Engineering 22 (6), 854-867, 2009 | 67 | 2009 |
A simple skull stripping algorithm for brain MRI S Roy, P Maji 2015 Eighth International Conference on Advances in Pattern Recognition …, 2015 | 66 | 2015 |
On fuzzy-rough attribute selection: criteria of max-dependency, max-relevance, min-redundancy, and max-significance P Maji, P Garai Applied Soft Computing 13 (9), 3968-3980, 2013 | 65 | 2013 |
Rough-fuzzy C-medoids algorithm and selection of bio-basis for amino acid sequence analysis P Maji, SK Pal IEEE transactions on knowledge and data engineering 19 (6), 859-872, 2007 | 63 | 2007 |
Evolving cellular automata as pattern classifier N Ganguly, P Maji, S Dhar, BK Sikdar, PP Chaudhuri International Conference on Cellular Automata, 56-68, 2002 | 61 | 2002 |
Fuzzy–rough simultaneous attribute selection and feature extraction algorithm P Maji, P Garai IEEE Transactions on Cybernetics 43 (4), 1166-1177, 2012 | 60 | 2012 |
Maximum class separability for rough-fuzzy c-means based brain mr image segmentation P Maji, SK Pal Transactions on rough sets IX, 114-134, 2008 | 60 | 2008 |