Bikesh Kumar Singh

46 papers Journal 37Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A new hybrid approach for automated leakage detection in fundus fluorescein angiography images.
Int. J. Medical Eng. Informatics
Bikesh Kumar Singh, Suraj Chandrakar, Ankur Khare, Ravi Khatri, Deepak Chandravanshi, Sumit Kumar Banchhor
2026 J jnl
Extensive review: speech analysis-based assessment of respiratory disorders applying machine learning and deep learning paradigms.
Multim. Tools Appl.
Poonam Shrivastava, Neeta Tripathi, Bikesh Kumar Singh, Bhupesh Kumar Dewangan, Manoj Kumar
2025 J jnl
Empirical wavelet decomposition of photoplethysmographic signal for hypertension risk stratification and detection of diabetes mellitus using machine learning techniques.
Int. J. Medical Eng. Informatics
Muzaffar Khan, Bikesh Kumar Singh, Neelamshobha Nirala
2024 J jnl
Analysis of reading-task-based brain connectivity in dyslexic children using EEG signals.
Medical Biol. Eng. Comput.
Guhan Seshadri N. P, Bikesh Kumar Singh
2024 — conf
Determining Dominant EEG Channels for Classification of LD and Non-LD Children using Machine Learning Approach.
ICSCA
Ashish Kumar Dewangan, Guhan Seshadri N. P, Bikesh Kumar Singh, Geethanjali Balasubramaniam, Mahesh Veezhinathan
2024 J jnl
Integration of ultrasound and mammogram for multimodal classification of breast cancer using hybrid residual neural network and machine learning.
Image Vis. Comput.
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey
2024 J jnl
Multicriteria decision support system for triage and ethical allocation of scarce resources to COVID-19 patients.
Multim. Tools Appl.
Tej Bahadur Chandra, Bikesh Kumar Singh
2024 J jnl
Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm.
Multim. Tools Appl.
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey
2024 J jnl
Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal.
Eng. Appl. Artif. Intell.
Padmini Sahu, Bikesh Kumar Singh, Neelamshobha Nirala
2024 J jnl
Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method.
Neural Comput. Appl.
Bhanupriya Mishra, Neelamshobha Nirala, Bikesh Kumar Singh
2023 J jnl
A dual-modality evaluation of computer-aided breast lesion segmentation in mammogram and ultrasound using customized transfer learning approach.
Signal Image Video Process.
Kushangi Atrey, Bikesh Kumar Singh, Abhijit Roy, Narendra Kuber Bodhey
2023 J jnl
An improved feature selection approach using global best guided Gaussian artificial bee colony for EMG classification.
Biomed. Signal Process. Control.
Padmini Sahu, Bikesh Kumar Singh, Neelamshobha Nirala
2023 J jnl
An improved multi-criteria-based feature selection approach for detection of coronary artery disease in machine learning paradigm.
Int. J. Comput. Vis. Robotics
Bikesh Kumar Singh, Sonali Dutta, Poonam Chand, Khilesh Kumar, Sumit Kumar Banchhor
2023 J jnl
Attention deficit hyperactivity disorder detection in children using multivariate empirical EEG decomposition approaches: A comprehensive analytical study.
Expert Syst. Appl.
Yogesh Sharma, Bikesh Kumar Singh
2023 — conf
Classification of Asthma, COPD and Healthy Lung Sounds Using Fourier Bessel Series Expansion in Machine Learning and Deep Learning Paradigm.
ISED
Vaibhav Koshta, Bikesh Kumar Singh, Ajoy K. Behera, Ranganath T. Ganga
2023 J jnl
EEG based classification of children with learning disabilities using shallow and deep neural network.
Biomed. Signal Process. Control.
N. P. Guhan Seshadri, Sneha Agrawal, Bikesh Kumar Singh, B. Geethanjali, Mahesh Veezhinathan, Ram Bilas Pachori
2023 J jnl
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach.
Biomed. Signal Process. Control.
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey, Ram Bilas Pachori
2023 J jnl
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.
Bhanupriya Mishra, Neelamshobha Nirala, Bikesh Kumar Singh
2022 J jnl
Disease Localization and Severity Assessment in Chest X-Ray Images using Multi-Stage Superpixels Classification.
Comput. Methods Programs Biomed.
Tej Bahadur Chandra, Bikesh Kumar Singh, Deepak Jain
2022 J jnl
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.
Tej Bahadur Chandra, Bikesh Kumar Singh, Deepak Jain
2022 J jnl
One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech.
Comput. Methods Programs Biomed.
Yogesh Sharma, Bikesh Kumar Singh
2022 J jnl
Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound.
Int. J. Imaging Syst. Technol.
Kushangi Atrey, Bikesh Kumar Singh, Abhijit Roy, Narendra Kuber Bodhey
2022 J jnl
Segmentation of malignant tumours in mammogram images: A hybrid approach using convolutional neural networks and connected component analysis.
Expert Syst. J. Knowl. Eng.
Abhijit Roy, Bikesh Kumar Singh, Sumit K. Banchhor, Kesari Verma
2021 — conf
Beta Artificial Bee Colony Algorithm for EMG Feature Selection.
MIND
Padmini Sahu, Bikesh Kumar Singh, Neelamshobha Nirala
2021 J jnl
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble.
Expert Syst. Appl.
Tej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh, Deepak Jain, Satyabhuwan Singh Netam
2021 J jnl
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.
Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, Bikesh Kumar Singh, Sumit K. Banchhor
2021 J jnl
Majority voting-based hybrid feature selection in machine learning paradigm for epilepsy detection using EEG.
Int. J. Comput. Vis. Robotics
Sunandan Mandal, Bikesh Kumar Singh, Kavita Thakur
2020 J jnl
Automatic detection of tuberculosis related abnormalities in Chest X-ray images using hierarchical feature extraction scheme.
Expert Syst. Appl.
Tej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh, Deepak Jain, Satyabhuwan Singh Netam
2019 — conf
CAD System for Breast US Images with Speckle Noise Reduction and Bio-Inspired Segmentation.
SIBGRAPI
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
2019 J jnl
Electroencephalography-based classification of human emotion: a hybrid strategy in machine learning paradigm.
Int. J. Comput. Vis. Robotics
Bikesh Kumar Singh, Ankur Khare, Abhishek Kumar Soni, Arun Kumar
2019 J jnl
Non-invasive technique of diabetes detection using iris images.
Int. J. Comput. Vis. Robotics
Kesari Verma, Bikesh Kumar Singh, Neelam Agrawal
2019 J jnl
Performance evaluation of breast lesion detection systems with expert delineations: a comparative investigation on mammographic images.
Multim. Tools Appl.
Bikesh Kumar Singh, Pankaj K. Jain, Sumit K. Banchhor, Kesari Verma
2019 J jnl
Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm.
J. Medical Syst.
Nishi Shahnaj Haider, Bikesh Kumar Singh, R. Periyasamy, Ajoy K. Behera
2019 J jnl
Segmentation of Brain Tumour Based on Clustering Technique: Performance Analysis.
J. Intell. Syst.
Ritu Agrawal, Manisha Sharma, Bikesh Kumar Singh
2019 J jnl
Soft voting technique to improve the performance of global filter based feature selection in text corpus.
Appl. Intell.
Deepak Agnihotri, Kesari Verma, Priyanka Tripathi, Bikesh Kumar Singh
2019 J jnl
Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution.
Expert Syst. Appl.
Lipismita Panigrahi, Kesari Verma, Bikesh Kumar Singh
2018 J jnl
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.
Lipismita Panigrahi, Kesari Verma, Bikesh Kumar Singh
2018 J jnl
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.
Ritu Agrawal, Manisha Sharma, Bikesh Kumar Singh
2017 J jnl
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.
Bikesh Kumar Singh, Kesari Verma, Lipismita Panigrahi, A. S. Thoke
2017 J jnl
Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm.
J. Medical Syst.
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
2016 — conf
An enhancement in automatic seed selection in breast cancer ultrasound images using texture features.
ICACCI
Lipismita Panigrahi, Keshri Verma, Bikesh Kumar Singh
2016 J jnl
Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images.
Expert Syst. Appl.
Bikesh Kumar Singh, Kesari Verma, A. S. Thoke
2015 — ch.
Review of Feature Selection Algorithms for Breast Cancer Ultrasound Image.
New Trends in Intelligent Information and Database Systems
Kesari Verma, Bikesh Kumar Singh, Priyanka Tripathi, A. S. Thoke
2011 — conf
Retrieval of changes in moving objects in multiple and color images.
ICCCS
Mohammad Imroze Khan, Bikesh Kumar Singh
2011 — conf
Wavelet based information for retrieval and classification of mammographic images.
ICCCS
Bikesh Kumar Singh, Jitendra Singh Parihar, Pritish Pal
2010 — conf
Comparison of Histogram and Spatiograms for Content Based Retrieval of Remote Sensing Images.
BAIP
Bikesh Kumar Singh, G. R. Sinha, Imroze Khan