Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge S Bakas, M Reyes, ....., S Banerjee, ...., S Mitra, ...., BU Shankar, ....., et al. arXiv preprint arXiv:1811.02629, 2018 | 1840 | 2018 |
Robust radiomics feature quantification using semiautomatic volumetric segmentation C Parmar, E Rios Velazquez, R Leijenaar, M Jermoumi, S Carvalho, ... PloS one 9 (7), e102107, 2014 | 640 | 2014 |
Segmentation of multispectral remote sensing images using active support vector machines P Mitra, BU Shankar, SK Pal Pattern recognition letters 25 (9), 1067-1074, 2004 | 354 | 2004 |
Granular computing, rough entropy and object extraction SK Pal, BU Shankar, P Mitra Pattern recognition letters 26 (16), 2509-2517, 2005 | 228 | 2005 |
Segmentation of remotely sensed images with fuzzy thresholding, and quantitative evaluation SK Pal, A Ghosh, BU Shankar International Journal of Remote Sensing 21 (11), 2269-2300, 2000 | 216 | 2000 |
Fast mean filtering technique (FMFT) S Rakshit, A Ghosh, BU Shankar Pattern Recognition 40 (3), 890-897, 2007 | 97 | 2007 |
Medical image analysis for cancer management in natural computing framework S Mitra, BU Shankar Information Sciences 306, 111-131, 2015 | 94 | 2015 |
A novel approach to neuro-fuzzy classification A Ghosh, BU Shankar, SK Meher Neural Networks 22 (1), 100-109, 2009 | 90 | 2009 |
Wavelet-feature-based classifiers for multispectral remote-sensing images SK Meher, BU Shankar, A Ghosh IEEE Transactions on Geoscience and Remote Sensing 45 (6), 1881-1886, 2007 | 80 | 2007 |
A novel GBM saliency detection model using multi-channel MRI S Banerjee, S Mitra, BU Shankar, Y Hayashi PloS one 11 (1), e0146388, 2016 | 57 | 2016 |
Single seed delineation of brain tumor using multi-thresholding S Banerjee, S Mitra, BU Shankar Information Sciences 330, 88-103, 2016 | 55 | 2016 |
Automated 3D segmentation of brain tumor using visual saliency S Banerjee, S Mitra, BU Shankar Information Sciences 424, 337-353, 2018 | 51 | 2018 |
A novel fuzzy classifier based on product aggregation operator A Ghosh, SK Meher, BU Shankar Pattern Recognition 41 (3), 961-971, 2008 | 48 | 2008 |
Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer S Banerjee, S Mitra, BU Shankar Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 43 | 2019 |
Iris localization using rough entropy and CSA: A soft computing approach M Sardar, S Mitra, BU Shankar Applied Soft Computing 67, 61-69, 2018 | 41 | 2018 |
Anthropometric variation in India: A statistical appraisal PP Majumder, BU Shankar, A Basu, KC Malhotra, R Gupta, ... Current Anthropology 31 (1), 94-103, 1990 | 40 | 1990 |
Wavelet-fuzzy hybridization: feature-extraction and land-cover classification of remote sensing images BU Shankar, SK Meher, A Ghosh Applied Soft Computing 11 (3), 2999-3011, 2011 | 37 | 2011 |
Novel classification and segmentation techniques with application to remotely sensed images BU Shankar Transactions on Rough Sets VII: Commemorating the Life and Work of Zdzisław …, 2007 | 34 | 2007 |
FFCM: An effective approach for large data sets BU Shankar, NR Pal Proceedings of the 3rd International Conference on Fuzzy Logic, Neural Nets …, 1994 | 32 | 1994 |
Neuro-fuzzy-combiner: An effective multiple classifier system A Ghosh, BU Shankar, L Bruzzone, SK Meher International Journal of Knowledge Engineering and Soft Data Paradigms 2 (2 …, 2010 | 28 | 2010 |