B. Uma Shankar - researchr alias

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Viewing Publication 1 - 39 from 39

2024

Collective intelligent strategy for improved segmentation of COVID-19 from CTSurochita Pal Das, Sushmita Mitra, B. Uma Shankar. eswa, 235:121099, January 2024. [doi]

2023

Multi-Scale Deep Supervised Attention Network for Red Lesion SegmentationShramana Dey, Pallabi Dutta, Sushmita Mitra, B. Uma Shankar. isbi 2023: 1-4 [doi]

2022

Machine learning approach to predict terrestrial gross primary productivity using topographical and remote sensing dataDeep Prakash Sarkar, B. Uma Shankar, Bikash Ranjan Parida. ecoi, 70:101697, 2022. [doi]

2021

Automatic grain segmentation in cross-polarized photomicrographs of sedimentary rocks using psychophysics inspired modelsRajdeep Das, B. Uma Shankar, Tapan Chakraborty, Kuntal Ghosh. isse, 17(2):167-183, 2021. [doi]

Unsupervised Change Detection in Remote Sensing Images Using CNN Based Transfer LearningJosephina Paul, B. Uma Shankar, Balaram Bhattacharyya, Alak Kumar Datta. icacds 2021: 463-474 [doi]

2020

A novel adaptive k-NN classifier for handling imbalance: Application to brain MRIRitaban Kirtania, Sushmita Mitra, B. Uma Shankar. ida, 24(4):909-924, 2020. [doi]

FuzzyCIE: fuzzy colour image enhancement for low-exposure imagesSoham Mandal, Sushmita Mitra, B. Uma Shankar. soco, 24(3):2151-2167, 2020. [doi]

Change Detection in Multispectral Remote Sensing Images with Leader Intelligence PSO and NSCT Feature FusionJosephina Paul, B. Uma Shankar, Balaram Bhattacharyya. ijgi, 9(7):462, 2020. [doi]

2018

Automated 3D segmentation of brain tumor using visual saliencySubhashis Banerjee, Sushmita Mitra, B. Uma Shankar. isci, 424:337-353, 2018. [doi]

Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain CancerSubhashis Banerjee, Sushmita Mitra, B. Uma Shankar. miccai 2019: 94-104 [doi]

Iris localization using rough entropy and CSA: A soft computing approachMousumi Sardar, Sushmita Mitra, B. Uma Shankar. asc, 67:61-69, 2018. [doi]

2017

Synergetic neuro-fuzzy feature selection and classification of brain tumorsSubhashis Banerjee, Sushmita Mitra, B. Uma Shankar. fuzzIEEE 2017: 1-6 [doi]

2016

Single seed delineation of brain tumor using multi-thresholdingSubhashis Banerjee, Sushmita Mitra, B. Uma Shankar. isci, 330:88-103, 2016. [doi]

ROI Segmentation from Brain MR Images with a Fast Multilevel ThresholdingSubhashis Banerjee, Sushmita Mitra, B. Uma Shankar. cvip 2017: 249-259 [doi]

Roughness and granularity measures using Hausdorff metric: a new approachB. Uma Shankar, C. A. Murthy. ijgs, 45(7-8):790-802, 2016. [doi]

2015

Medical image analysis for cancer management in natural computing frameworkSushmita Mitra, B. Uma Shankar. isci, 306:111-131, 2015. [doi]

Guest EditorialSankar K. Pal, B. Uma Shankar. iet-ipr, 9(11):923-924, 2015. [doi]

2014

Integrating Radio Imaging With Gene Expressions Toward a Personalized Management of CancerSushmita Mitra, B. Uma Shankar. thms, 44(5):664-677, 2014. [doi]

2013

Granulation, rough entropy and spatiotemporal moving object detectionDebarati Chakraborty, B. Uma Shankar, Sankar K. Pal. asc, 13(9):4001-4009, 2013. [doi]

2011

Spatiotemporal Approach for Tracking Using Rough Entropy and Frame SubtractionB. Uma Shankar, Debarati Chakraborty. premi 2011: 193-199 [doi]

Wavelet-fuzzy hybridization: Feature-extraction and land-cover classification of remote sensing imagesB. Uma Shankar, Saroj K. Meher, Ashish Ghosh. asc, 11(3):2999-3011, 2011. [doi]

2010

Neuro-fuzzy-combiner: an effective multiple classifier systemAshish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Saroj K. Meher. ijkesdp, 2(2):107-129, 2010. [doi]

2009

A novel approach to neuro-fuzzy classificationAshish Ghosh, B. Uma Shankar, Saroj K. Meher. NN, 22(1):100-109, 2009. [doi]

2008

A novel fuzzy classifier based on product aggregation operatorAshish Ghosh, Saroj K. Meher, B. Uma Shankar. PR, 41(3):961-971, 2008. [doi]

2007

2006

Neuro-Fuzzy Fusion: A New Approach to Multiple Classifier SystemK. Saroj, Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone. IEEEcit 2006: 209-212 [doi]

Remote Sensing Image Classification: A Neuro-fuzzy MCS ApproachB. Uma Shankar, Saroj K. Meher, Ashish Ghosh, Lorenzo Bruzzone. icvgip 2006: 128-139 [doi]

2005

Granular computing, rough entropy and object extractionSankar K. Pal, B. Uma Shankar, Pabitra Mitra. prl, 26(16):2509-2517, 2005. [doi]

2004

Segmentation of multispectral remote sensing images using active support vector machinesPabitra Mitra, B. Uma Shankar, Sankar K. Pal. prl, 25(9):1067-1074, 2004. [doi]

2003

Active Support Vector Machines for Pixel Classification in Remote Sensing ImagesPabitra Mitra, B. Uma Shankar, Sankar K. Pal. iicai 2003: 543-553

1998

A new gray level based Hough transform for region extraction: An application to IRS imagesB. Uma Shankar, C. A. Murthy, Sankar K. Pal. prl, 19(2):197-204, 1998. [doi]

1993

A coal micrograph image understanding systemDipti Prasad Mukherjee, D. K. Banerjee, B. Uma Shankar, D. Dutta Majumder. prl, 14(2):155-161, 1993. [doi]

1992

IRS image segmentation: minimum distance classifier approachC. A. Murthy, N. Chatterjee, B. Uma Shankar, D. Dutta Majumder. icpr 1992: 781-784 [doi]

1991

A parallel algorithm for detection of linear structures in satellite imagesSwapan K. Parui, B. Uma Shankar, Amar Mukherjee, D. Dutta Majumder. prl, 12(12):765-770, 1991. [doi]

1989

An effecient algorithm for extrema detection in digital imagesBidyut Baran Chaudhuri, B. Uma Shankar. prl, 10(2):81-85, 1989. [doi]

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