Bikesh Kumar Singh

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 37

Top Topics

Machine Learning

Ultrasound Images

Top Venues

Expert Syst. Appl.

Int. J. Comput. Vis. Robotics

Biomed. Signal Process. Control.

Multim. Tools Appl.

Publications

Bhanupriya Mishra, Neelamshobha Nirala, Bikesh Kumar Singh
Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method. Neural Comput. Appl. 36 (5) (2024)
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) (2024)
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 (2024)
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 (2024)
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) (2024)
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) (2024)
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)
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) (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
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) (2022)
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)
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 (2022)
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) (2022)
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 (2022)
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) (2021)
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) (2021)
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 (2021)
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 (2020)
Kesari Verma, Bikesh Kumar Singh, Neelam Agrawal
Non-invasive technique of diabetes detection using iris images. Int. J. Comput. Vis. Robotics 9 (4) (2019)
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) (2019)
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) (2019)
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) (2019)
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 (2019)
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) (2019)
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)
Ritu Agrawal, Manisha Sharma, Bikesh Kumar Singh
Segmentation of Brain Tumour Based on Clustering Technique: Performance Analysis. J. Intell. Syst. 28 (2) (2019)
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) (2018)
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) (2018)
Luca Saba, Pankaj K. 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) (2017)
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 (2017)
Lipismita Panigrahi, Keshri Verma, Bikesh Kumar Singh
An enhancement in automatic seed selection in breast cancer ultrasound images using texture features. ICACCI (2016)
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 (2016)
Bikesh Kumar Singh, Jitendra Singh Parihar, Pritish Pal
Wavelet based information for retrieval and classification of mammographic images. ICCCS (2011)
Mohammad Imroze Khan, Bikesh Kumar Singh
Retrieval of changes in moving objects in multiple and color images. ICCCS (2011)
Bikesh Kumar Singh, G. R. Sinha, Imroze Khan
Comparison of Histogram and Spatiograms for Content Based Retrieval of Remote Sensing Images. BAIP (2010)