Bikesh Kumar Singh
Orcid: 0000-0002-5052-9768
According to our database1,
Bikesh Kumar Singh
authored at least 37 papers
between 2010 and 2024.
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Bibliography
2024
Multicriteria decision support system for triage and ethical allocation of scarce resources to COVID-19 patients.
Multim. Tools Appl., March, 2024
Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method.
Neural Comput. Appl., February, 2024
Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm.
Multim. Tools Appl., 2024
2023
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach.
Biomed. Signal Process. Control., September, 2023
A dual-modality evaluation of computer-aided breast lesion segmentation in mammogram and ultrasound using customized transfer learning approach.
Signal Image Video Process., July, 2023
EEG based classification of children with learning disabilities using shallow and deep neural network.
Biomed. Signal Process. Control., April, 2023
Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier.
Signal Image Video Process., 2023
An improved multi-criteria-based feature selection approach for detection of coronary artery disease in machine learning paradigm.
Int. J. Comput. Vis. Robotics, 2023
Attention deficit hyperactivity disorder detection in children using multivariate empirical EEG decomposition approaches: A comprehensive analytical study.
Expert Syst. Appl., 2023
An improved feature selection approach using global best guided Gaussian artificial bee colony for EMG classification.
Biomed. Signal Process. Control., 2023
2022
Integrating patient symptoms, clinical readings, and radiologist feedback with computer-aided diagnosis system for detection of infectious pulmonary disease: a feasibility study.
Medical Biol. Eng. Comput., 2022
Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound.
Int. J. Imaging Syst. Technol., 2022
Segmentation of malignant tumours in mammogram images: A hybrid approach using convolutional neural networks and connected component analysis.
Expert Syst. J. Knowl. Eng., 2022
One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech.
Comput. Methods Programs Biomed., 2022
Disease Localization and Severity Assessment in Chest X-Ray Images using Multi-Stage Superpixels Classification.
Comput. Methods Programs Biomed., 2022
2021
Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm.
Int. J. Imaging Syst. Technol., 2021
Majority voting-based hybrid feature selection in machine learning paradigm for epilepsy detection using EEG.
Int. J. Comput. Vis. Robotics, 2021
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble.
Expert Syst. Appl., 2021
2020
Automatic detection of tuberculosis related abnormalities in Chest X-ray images using hierarchical feature extraction scheme.
Expert Syst. Appl., 2020
2019
Performance evaluation of breast lesion detection systems with expert delineations: a comparative investigation on mammographic images.
Multim. Tools Appl., 2019
J. Intell. Syst., 2019
Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm.
J. Medical Syst., 2019
Int. J. Comput. Vis. Robotics, 2019
Electroencephalography-based classification of human emotion: a hybrid strategy in machine learning paradigm.
Int. J. Comput. Vis. Robotics, 2019
Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution.
Expert Syst. Appl., 2019
Soft voting technique to improve the performance of global filter based feature selection in text corpus.
Appl. Intell., 2019
CAD System for Breast US Images with Speckle Noise Reduction and Bio-Inspired Segmentation.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019
2018
Hybrid segmentation method based on multi-scale Gaussian kernel fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images.
IET Comput. Vis., 2018
Performance evaluation of automated brain tumor detection systems with expert delineations and interobserver variability analysis in diseased patients on magnetic resonance imaging.
Appl. Artif. Intell., 2018
2017
Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm.
J. Medical Syst., 2017
Integrating radiologist feedback with computer aided diagnostic systems for breast cancer risk prediction in ultrasonic images: An experimental investigation in machine learning paradigm.
Expert Syst. Appl., 2017
2016
Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images.
Expert Syst. Appl., 2016
An enhancement in automatic seed selection in breast cancer ultrasound images using texture features.
Proceedings of the 2016 International Conference on Advances in Computing, 2016
2015
Proceedings of the New Trends in Intelligent Information and Database Systems, 2015
2011
Proceedings of the 2011 International Conference on Communication, 2011
Proceedings of the 2011 International Conference on Communication, 2011
2010
Comparison of Histogram and Spatiograms for Content Based Retrieval of Remote Sensing Images.
Proceedings of the Information Processing and Management, 2010