B. Uma Shankar

Orcid: 0000-0003-0332-2294

Affiliations:
  • Indian Statistical Institute, India


According to our database1, B. Uma Shankar authored at least 41 papers between 1989 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Collective intelligent strategy for improved segmentation of COVID-19 from CT.
Expert Syst. Appl., January, 2024

2023
Multi-Scale Deep Supervised Attention Network for Red Lesion Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Machine learning approach to predict terrestrial gross primary productivity using topographical and remote sensing data.
Ecol. Informatics, 2022

Multi-Label Classification on Remote-Sensing Images.
CoRR, 2022

2021
Automatic grain segmentation in cross-polarized photomicrographs of sedimentary rocks using psychophysics inspired models.
Innov. Syst. Softw. Eng., 2021

Unsupervised Change Detection in Remote Sensing Images Using CNN Based Transfer Learning.
Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021

2020
FuzzyCIE: fuzzy colour image enhancement for low-exposure images.
Soft Comput., 2020

Change Detection in Multispectral Remote Sensing Images with Leader Intelligence PSO and NSCT Feature Fusion.
ISPRS Int. J. Geo Inf., 2020

A novel adaptive k-NN classifier for handling imbalance: Application to brain MRI.
Intell. Data Anal., 2020

2018
Automated 3D segmentation of brain tumor using visual saliency.
Inf. Sci., 2018

A CADe System for Gliomas in Brain MRI using Convolutional Neural Networks.
CoRR, 2018

Iris localization using rough entropy and CSA: A soft computing approach.
Appl. Soft Comput., 2018

Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017
Synergetic neuro-fuzzy feature selection and classification of brain tumors.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Single seed delineation of brain tumor using multi-thresholding.
Inf. Sci., 2016

Roughness and granularity measures using Hausdorff metric: a new approach.
Int. J. Gen. Syst., 2016

ROI Segmentation from Brain MR Images with a Fast Multilevel Thresholding.
Proceedings of International Conference on Computer Vision and Image Processing, 2016

2015
Medical image analysis for cancer management in natural computing framework.
Inf. Sci., 2015

Guest Editorial.
IET Image Process., 2015

2014
Integrating Radio Imaging With Gene Expressions Toward a Personalized Management of Cancer.
IEEE Trans. Hum. Mach. Syst., 2014

2013
Granulation, rough entropy and spatiotemporal moving object detection.
Appl. Soft Comput., 2013

2011
Wavelet-fuzzy hybridization: Feature-extraction and land-cover classification of remote sensing images.
Appl. Soft Comput., 2011

Spatiotemporal Approach for Tracking Using Rough Entropy and Frame Subtraction.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011

2010
Neuro-fuzzy-combiner: an effective multiple classifier system.
Int. J. Knowl. Eng. Soft Data Paradigms, 2010

2009
A novel approach to neuro-fuzzy classification.
Neural Networks, 2009

2008
A novel fuzzy classifier based on product aggregation operator.
Pattern Recognit., 2008

2007
Novel Classification and Segmentation Techniques with Application to Remotely Sensed Images.
Trans. Rough Sets, 2007

Wavelet-Feature-Based Classifiers for Multispectral Remote-Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2007

Fast mean filtering technique (FMFT).
Pattern Recognit., 2007

Neuro-Wavelet Classifier for Multispectral Remote Sensing Images.
Int. J. Wavelets Multiresolution Inf. Process., 2007

Neuro-Wavelet Classifier for Remote Sensing Image Classification.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

2006
Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

Neuro-Fuzzy Fusion: A New Approach to Multiple Classifier System.
Proceedings of the 9th International Conference in Information Technology, 2006

2005
Granular computing, rough entropy and object extraction.
Pattern Recognit. Lett., 2005

2004
Segmentation of multispectral remote sensing images using active support vector machines.
Pattern Recognit. Lett., 2004

2003
Active Support Vector Machines for Pixel Classification in Remote Sensing Images.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

1998
A new gray level based Hough transform for region extraction: An application to IRS images.
Pattern Recognit. Lett., 1998

1993
A coal micrograph image understanding system.
Pattern Recognit. Lett., 1993

1992
IRS image segmentation: minimum distance classifier approach.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991
A parallel algorithm for detection of linear structures in satellite images.
Pattern Recognit. Lett., 1991

1989
An effecient algorithm for extrema detection in digital images.
Pattern Recognit. Lett., 1989


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