Comparison of Histogram and Spatiograms for Content Based Retrieval of Remote Sensing Images. - Bikesh Kumar Singh; G. R. Sinha; Imroze Khan (BAIP, 2010)

Retrieval of changes in moving objects in multiple and color images. - Mohammad Imroze Khan; Bikesh Kumar Singh (ICCCS, 2011)

Wavelet based information for retrieval and classification of mammographic images. - Bikesh Kumar Singh; Jitendra Singh Parihar; Pritish Pal (ICCCS, 2011)

Review of Feature Selection Algorithms for Breast Cancer Ultrasound Image. - Kesari Verma; Bikesh Kumar Singh; Priyanka Tripathi; A. S. Thoke (New Trends in Intelligent Information and Database Systems, 2015)

An enhancement in automatic seed selection in breast cancer ultrasound images using texture features. - Lipismita Panigrahi; Keshri Verma; Bikesh Kumar Singh (ICACCI, 2016)

Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images. - Bikesh Kumar Singh; Kesari Verma; A. S. Thoke (Expert Syst. Appl., 2016)

Integrating radiologist feedback with computer aided diagnostic systems for breast cancer risk prediction in ultrasonic images: An experimental investigation in machine learning paradigm. - Bikesh Kumar Singh; Kesari Verma; Lipismita Panigrahi; A. S. Thoke (Expert Syst. Appl., 2017)

Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm. - 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 (J. Medical Syst., 2017)

Performance evaluation of automated brain tumor detection systems with expert delineations and interobserver variability analysis in diseased patients on magnetic resonance imaging. - Ritu Agrawal; Manisha Sharma; Bikesh Kumar Singh (Appl. Artif. Intell., 2018)

Hybrid segmentation method based on multi-scale Gaussian kernel fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images. - Lipismita Panigrahi; Kesari Verma; Bikesh Kumar Singh (IET Comput. Vis., 2018)

CAD System for Breast US Images with Speckle Noise Reduction and Bio-Inspired Segmentation. - 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 (SIBGRAPI, 2019)

Soft voting technique to improve the performance of global filter based feature selection in text corpus. - Deepak Agnihotri; Kesari Verma; Priyanka Tripathi; Bikesh Kumar Singh (Appl. Intell., 2019)

Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution. - Lipismita Panigrahi; Kesari Verma; Bikesh Kumar Singh (Expert Syst. Appl., 2019)

Electroencephalography-based classification of human emotion: a hybrid strategy in machine learning paradigm. - Bikesh Kumar Singh; Ankur Khare; Abhishek Kumar Soni; Arun Kumar (Int. J. Comput. Vis. Robotics, 2019)

Non-invasive technique of diabetes detection using iris images. - Kesari Verma; Bikesh Kumar Singh; Neelam Agrawal (Int. J. Comput. Vis. Robotics, 2019)

Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm. - Nishi Shahnaj Haider; Bikesh Kumar Singh; R. Periyasamy; Ajoy K. Behera (J. Medical Syst., 2019)

Segmentation of Brain Tumour Based on Clustering Technique: Performance Analysis. - Ritu Agrawal; Manisha Sharma; Bikesh Kumar Singh (J. Intell. Syst., 2019)

Performance evaluation of breast lesion detection systems with expert delineations: a comparative investigation on mammographic images. - Bikesh Kumar Singh; Pankaj K. Jain; Sumit K. Banchhor; Kesari Verma (Multim. Tools Appl., 2019)

Automatic detection of tuberculosis related abnormalities in Chest X-ray images using hierarchical feature extraction scheme. - Tej Bahadur Chandra; Kesari Verma; Bikesh Kumar Singh; Deepak Jain; Satyabhuwan Singh Netam (Expert Syst. Appl., 2020)

Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble. - Tej Bahadur Chandra; Kesari Verma; Bikesh Kumar Singh; Deepak Jain; Satyabhuwan Singh Netam (Expert Syst. Appl., 2021)

Majority voting-based hybrid feature selection in machine learning paradigm for epilepsy detection using EEG. - Sunandan Mandal; Bikesh Kumar Singh; Kavita Thakur (Int. J. Comput. Vis. Robotics, 2021)

Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm. - Satya Prakash Sahu; Narendra D. Londhe; Shrish Verma; Bikesh Kumar Singh; Sumit K. Banchhor (Int. J. Imaging Syst. Technol., 2021)

Disease Localization and Severity Assessment in Chest X-Ray Images using Multi-Stage Superpixels Classification. - Tej Bahadur Chandra; Bikesh Kumar Singh; Deepak Jain (Comput. Methods Programs Biomed., 2022)

One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech. - Yogesh Sharma; Bikesh Kumar Singh (Comput. Methods Programs Biomed., 2022)

Segmentation of malignant tumours in mammogram images: A hybrid approach using convolutional neural networks and connected component analysis. - Abhijit Roy; Bikesh Kumar Singh; Sumit K. Banchhor; Kesari Verma (Expert Syst. J. Knowl. Eng., 2022)

Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound. - Kushangi Atrey; Bikesh Kumar Singh; Abhijit Roy; Narendra Kuber Bodhey (Int. J. Imaging Syst. Technol., 2022)

Integrating patient symptoms, clinical readings, and radiologist feedback with computer-aided diagnosis system for detection of infectious pulmonary disease: a feasibility study. - Tej Bahadur Chandra; Bikesh Kumar Singh; Deepak Jain (Medical Biol. Eng. Comput., 2022)

Classification of Asthma, COPD and Healthy Lung Sounds Using Fourier Bessel Series Expansion in Machine Learning and Deep Learning Paradigm. - Vaibhav Koshta; Bikesh Kumar Singh; Ajoy K. Behera; Ranganath T. Ganga (ISED, 2023)

An improved feature selection approach using global best guided Gaussian artificial bee colony for EMG classification. - Padmini Sahu; Bikesh Kumar Singh; Neelamshobha Nirala (Biomed. Signal Process. Control., 2023)

Attention deficit hyperactivity disorder detection in children using multivariate empirical EEG decomposition approaches: A comprehensive analytical study. - Yogesh Sharma; Bikesh Kumar Singh (Expert Syst. Appl., 2023)

An improved multi-criteria-based feature selection approach for detection of coronary artery disease in machine learning paradigm. - Bikesh Kumar Singh; Sonali Dutta; Poonam Chand; Khilesh Kumar; Sumit Kumar Banchhor (Int. J. Comput. Vis. Robotics, 2023)

Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier. - Bhanupriya Mishra; Neelamshobha Nirala; Bikesh Kumar Singh (Signal Image Video Process., 2023)

EEG based classification of children with learning disabilities using shallow and deep neural network. - N. P. Guhan Seshadri; Sneha Agrawal; Bikesh Kumar Singh; B. Geethanjali; Mahesh Veezhinathan; Ram Bilas Pachori (Biomed. Signal Process. Control., 2023)

A dual-modality evaluation of computer-aided breast lesion segmentation in mammogram and ultrasound using customized transfer learning approach. - Kushangi Atrey; Bikesh Kumar Singh; Abhijit Roy; Narendra Kuber Bodhey (Signal Image Video Process., 2023)

Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach. - Kushangi Atrey; Bikesh Kumar Singh; Narendra Kuber Bodhey; Ram Bilas Pachori (Biomed. Signal Process. Control., 2023)

Determining Dominant EEG Channels for Classification of LD and Non-LD Children using Machine Learning Approach. - Ashish Kumar Dewangan; Guhan Seshadri N. P; Bikesh Kumar Singh; Geethanjali Balasubramaniam; Mahesh Veezhinathan (ICSCA, 2024)

Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal. - Padmini Sahu; Bikesh Kumar Singh; Neelamshobha Nirala (Eng. Appl. Artif. Intell., 2024)

Integration of ultrasound and mammogram for multimodal classification of breast cancer using hybrid residual neural network and machine learning. - Kushangi Atrey; Bikesh Kumar Singh; Narendra Kuber Bodhey (Image Vis. Comput., 2024)

Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm. - Kushangi Atrey; Bikesh Kumar Singh; Narendra Kuber Bodhey (Multim. Tools Appl., 2024)

Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method. - Bhanupriya Mishra; Neelamshobha Nirala; Bikesh Kumar Singh (Neural Comput. Appl., 2024)

Multicriteria decision support system for triage and ethical allocation of scarce resources to COVID-19 patients. - Tej Bahadur Chandra; Bikesh Kumar Singh (Multim. Tools Appl., 2024)

Analysis of reading-task-based brain connectivity in dyslexic children using EEG signals. - Guhan Seshadri N. P; Bikesh Kumar Singh (Medical Biol. Eng. Comput., 2024)

Empirical wavelet decomposition of photoplethysmographic signal for hypertension risk stratification and detection of diabetes mellitus using machine learning techniques. - Muzaffar Khan; Bikesh Kumar Singh; Neelamshobha Nirala (Int. J. Medical Eng. Informatics, 2025)