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ORCIDBikesh Kumar Singh
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2020 – today
- 2024
[j34]Padmini Sahu, Bikesh Kumar Singh, Neelamshobha Nirala:
Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal. Eng. Appl. Artif. Intell. 133: 108390 (2024)- [j33]Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey:
Integration of ultrasound and mammogram for multimodal classification of breast cancer using hybrid residual neural network and machine learning. Image Vis. Comput. 145: 104987 (2024) - [j32]Guhan Seshadri N. P, Bikesh Kumar Singh:
Analysis of reading-task-based brain connectivity in dyslexic children using EEG signals. Medical Biol. Eng. Comput. 62(8): 2355-2369 (2024) - [j31]Kushangi Atrey
, Bikesh Kumar Singh, Narendra Kuber Bodhey:
Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm. Multim. Tools Appl. 83(7): 21347-21368 (2024) - [j30]Tej Bahadur Chandra, Bikesh Kumar Singh:
Multicriteria decision support system for triage and ethical allocation of scarce resources to COVID-19 patients. Multim. Tools Appl. 83(9): 27463-27480 (2024) - [j29]Bhanupriya Mishra, Neelamshobha Nirala, Bikesh Kumar Singh:
Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method. Neural Comput. Appl. 36(5): 2429-2443 (2024) - [c7]Ashish Kumar Dewangan, Guhan Seshadri N. P, Bikesh Kumar Singh, Geethanjali Balasubramaniam, Mahesh Veezhinathan:
Determining Dominant EEG Channels for Classification of LD and Non-LD Children using Machine Learning Approach. ICSCA 2024: 1-6 - 2023
- [j28]Padmini Sahu, Bikesh Kumar Singh, Neelamshobha Nirala:
An improved feature selection approach using global best guided Gaussian artificial bee colony for EMG classification. Biomed. Signal Process. Control. 80(Part): 104399 (2023) - [j27]N. P. Guhan Seshadri, Sneha Agrawal, Bikesh Kumar Singh, B. Geethanjali, Mahesh Veezhinathan, Ram Bilas Pachori:
EEG based classification of children with learning disabilities using shallow and deep neural network. Biomed. Signal Process. Control. 82: 104553 (2023) - [j26]Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey, Ram Bilas Pachori:
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach. Biomed. Signal Process. Control. 86(Part A): 104919 (2023) - [j25]Yogesh Sharma, Bikesh Kumar Singh:
Attention deficit hyperactivity disorder detection in children using multivariate empirical EEG decomposition approaches: A comprehensive analytical study. Expert Syst. Appl. 213(Part): 119219 (2023) - [j24]Bikesh Kumar Singh, Sonali Dutta, Poonam Chand, Khilesh Kumar, Sumit Kumar Banchhor:
An improved multi-criteria-based feature selection approach for detection of coronary artery disease in machine learning paradigm. Int. J. Comput. Vis. Robotics 13(5): 533-555 (2023) - [j23]Kushangi Atrey, Bikesh Kumar Singh, Abhijit Roy, Narendra Kuber Bodhey:
A dual-modality evaluation of computer-aided breast lesion segmentation in mammogram and ultrasound using customized transfer learning approach. Signal Image Video Process. 17(5): 1955-1963 (2023) - [j22]Bhanupriya Mishra, Neelamshobha Nirala, Bikesh Kumar Singh:
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. 17(6): 2745-2754 (2023) - [c6]Vaibhav Koshta, Bikesh Kumar Singh, Ajoy K. Behera, Ranganath T. Ganga:
Classification of Asthma, COPD and Healthy Lung Sounds Using Fourier Bessel Series Expansion in Machine Learning and Deep Learning Paradigm. ISED 2023: 1-6 - 2022
- [j21]Yogesh Sharma, Bikesh Kumar Singh:
One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech. Comput. Methods Programs Biomed. 213: 106487 (2022) - [j20]Tej Bahadur Chandra, Bikesh Kumar Singh, Deepak Jain:
Disease Localization and Severity Assessment in Chest X-Ray Images using Multi-Stage Superpixels Classification. Comput. Methods Programs Biomed. 222: 106947 (2022) - [j19]Abhijit Roy, Bikesh Kumar Singh, Sumit K. Banchhor, Kesari Verma:
Segmentation of malignant tumours in mammogram images: A hybrid approach using convolutional neural networks and connected component analysis. Expert Syst. J. Knowl. Eng. 39(1) (2022) - [j18]Kushangi Atrey, Bikesh Kumar Singh, Abhijit Roy, Narendra Kuber Bodhey:
Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound. Int. J. Imaging Syst. Technol. 32(4): 1084-1100 (2022) - [j17]Tej Bahadur Chandra, Bikesh Kumar Singh, Deepak Jain:
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. 60(9): 2549-2565 (2022) - 2021
- [j16]Tej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh, Deepak Jain, Satyabhuwan Singh Netam:
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble. Expert Syst. Appl. 165: 113909 (2021) - [j15]Sunandan Mandal, Bikesh Kumar Singh, Kavita Thakur:
Majority voting-based hybrid feature selection in machine learning paradigm for epilepsy detection using EEG. Int. J. Comput. Vis. Robotics 11(4): 385-400 (2021) - [j14]Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, Bikesh Kumar Singh, Sumit K. Banchhor:
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. 31(3): 1503-1518 (2021) - 2020
- [j13]Tej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh, Deepak Jain, Satyabhuwan Singh Netam:
Automatic detection of tuberculosis related abnormalities in Chest X-ray images using hierarchical feature extraction scheme. Expert Syst. Appl. 158: 113514 (2020)
2010 – 2019
- 2019
- [j12]Deepak Agnihotri, Kesari Verma, Priyanka Tripathi, Bikesh Kumar Singh:
Soft voting technique to improve the performance of global filter based feature selection in text corpus. Appl. Intell. 49(4): 1597-1619 (2019) - [j11]Lipismita Panigrahi, Kesari Verma, Bikesh Kumar Singh:
Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution. Expert Syst. Appl. 115: 486-498 (2019) - [j10]Kesari Verma, Bikesh Kumar Singh, Neelam Agrawal:
Non-invasive technique of diabetes detection using iris images. Int. J. Comput. Vis. Robotics 9(4): 351-367 (2019) - [j9]Bikesh Kumar Singh, Ankur Khare, Abhishek Kumar Soni, Arun Kumar:
Electroencephalography-based classification of human emotion: a hybrid strategy in machine learning paradigm. Int. J. Comput. Vis. Robotics 9(6): 583-598 (2019) - [j8]Nishi Shahnaj Haider, Bikesh Kumar Singh, R. Periyasamy, Ajoy K. Behera:
Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm. J. Medical Syst. 43(8): 255:1-255:13 (2019) - [j7]Ritu Agrawal, Manisha Sharma, Bikesh Kumar Singh:
Segmentation of Brain Tumour Based on Clustering Technique: Performance Analysis. J. Intell. Syst. 28(2): 291-306 (2019) - [j6]Bikesh Kumar Singh, Pankaj K. Jain, Sumit K. Banchhor, Kesari Verma:
Performance evaluation of breast lesion detection systems with expert delineations: a comparative investigation on mammographic images. Multim. Tools Appl. 78(16): 22421-22444 (2019) - [c5]Paulo Sérgio Silva Rodrigues, Guilherme Alberto Wachs-Lopes, Gilson A. Giraldi, Célia A. Zorzo Barcelos, Luciana E. S. R. Vieira, Denise Guliato, Bikesh Kumar Singh:
CAD System for Breast US Images with Speckle Noise Reduction and Bio-Inspired Segmentation. SIBGRAPI 2019: 68-75 - 2018
- [j5]Ritu Agrawal, Manisha Sharma, Bikesh Kumar Singh:
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. 32(7-8): 670-691 (2018) - [j4]Lipismita Panigrahi, Kesari Verma, Bikesh Kumar Singh:
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. 12(8): 1067-1077 (2018) - 2017
- [j3]Bikesh Kumar Singh, Kesari Verma, Lipismita Panigrahi, A. S. Thoke:
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. 90: 209-223 (2017) - [j2]Luca Saba, Pankaj Kumar Jain, Harman S. Suri, Nobutaka Ikeda, Tadashi Araki, Bikesh Kumar Singh, Andrew Nicolaides, Shoaib Shafique, Ajay Gupta, John R. Laird, Jasjit S. Suri:
Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm. J. Medical Syst. 41(6): 98:1-98:31 (2017) - 2016
- [j1]Bikesh Kumar Singh, Kesari Verma, A. S. Thoke:
Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images. Expert Syst. Appl. 66: 114-123 (2016) - [c4]Lipismita Panigrahi, Keshri Verma, Bikesh Kumar Singh:
An enhancement in automatic seed selection in breast cancer ultrasound images using texture features. ICACCI 2016: 1096-1102 - 2015
- [p1]Kesari Verma, Bikesh Kumar Singh, Priyanka Tripathi, A. S. Thoke:
Review of Feature Selection Algorithms for Breast Cancer Ultrasound Image. New Trends in Intelligent Information and Database Systems 2015: 23-32 - 2011
- [c3]Bikesh Kumar Singh, Jitendra Singh Parihar, Pritish Pal:
Wavelet based information for retrieval and classification of mammographic images. ICCCS 2011: 365-370 - [c2]Mohammad Imroze Khan, Bikesh Kumar Singh:
Retrieval of changes in moving objects in multiple and color images. ICCCS 2011: 371-376 - 2010
- [c1]Bikesh Kumar Singh, G. R. Sinha, Imroze Khan:
Comparison of Histogram and Spatiograms for Content Based Retrieval of Remote Sensing Images. BAIP 2010: 152-156
Coauthor Index
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last updated on 2024-11-22 20:41 CET by the dblp team
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