B. Uma Shankar

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Sushmita MitraProfessor, Machine Intelligence Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
Saroj K. MeherProfessor, Indian Statistical Institute, IndiaVerified email at isibang.ac.in
Pabitra MitraProfessor of Computer Science and Engineering, Indian Institute of Technology KharagpurVerified email at cse.iitkgp.ac.in
Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer InstituteVerified email at lroc.harvard.edu
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkVerified email at uhnresearch.ca
Emmanuel Rios VelazquezBusiness Development Manager - Precision Health & Nutrition @imec - OnePlanet Research CenterVerified email at imec.nl
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUVerified email at dfci.harvard.edu
Sara João CarvalhoBiostatistician @ Health iQVerified email at medschl.cam.ac.uk
Ralph T.H. LeijenaarPhDVerified email at maastrichtuniversity.nl
Lorenzo BruzzoneProfessor of Telecommunications, University of TrentoVerified email at ing.unitn.it
CA MurthyProfessor, Machine Intelligence Unit, Indian Statistical Institute, IndiaVerified email at isical.ac.in
Dipti Prasad MukherjeeProfessor, Electronics and Communication Sciences Unit, India Statistical InstituteVerified email at isical.ac.in
Bidyut Baran ChaudhuriINAE Distinguished Professor and J. C. Bose Fellow, Indian Statistical InstituteVerified email at isical.ac.in
Swapan Kumar ParuiIndian Statistical InstituteVerified email at isical.ac.in
Prof. Ashish GhoshInternational Institute of Information Technology BhubaneswarVerified email at iiit-bh.ac.in

B. Uma Shankar

Professor, Indian Statistical Institute, Kolkata, India

Verified email at isical.ac.in - Homepage

Machine Learning(ML-DL)Pattern Recognition Image Processing Fuzzy Sets & Rough Sets Geoinformatics


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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	1971	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	649	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	356	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	220	2000
Fast mean filtering technique (FMFT) S Rakshit, A Ghosh, BU Shankar Pattern Recognition 40 (3), 890-897, 2007	98	2007
Medical image analysis for cancer management in natural computing framework S Mitra, BU Shankar Information Sciences 306, 111-131, 2015	95	2015
A novel approach to neuro-fuzzy classification A Ghosh, BU Shankar, SK Meher Neural Networks 22 (1), 100-109, 2009	91	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	56	2016
Automated 3D segmentation of brain tumor using visual saliency S Banerjee, S Mitra, BU Shankar Information Sciences 424, 337-353, 2018	53	2018
A novel fuzzy classifier based on product aggregation operator A Ghosh, SK Meher, BU Shankar Pattern Recognition 41 (3), 961-971, 2008	47	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	44	2019
Anthropometric variation in India: A statistical appraisal PP Majumder, BU Shankar, A Basu, KC Malhotra, R Gupta, ... Current Anthropology 31 (1), 94-103, 1990	42	1990
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
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	39	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	33	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	33	1994
GAN-based novel approach for data augmentation with improved disease classification D Bhattacharya, S Banerjee, S Bhattacharya, B Uma Shankar, S Mitra Advancement of Machine Intelligence in Interactive Medical Image Analysis …, 2020	28	2020

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