Detection and classification of cancer from microscopic biopsy images using clinically significant and biologically interpretable features R Kumar, R Srivastava, S Srivastava Journal of medical engineering 2015, 2015 | 248 | 2015 |
Retinal blood vessels segmentation by using Gumbel probability distribution function based matched filter NP Singh, R Srivastava Computer methods and programs in biomedicine 129, 40-50, 2016 | 153 | 2016 |
Two-decade journey of green human resource management research: a bibliometric analysis PC Bahuguna, R Srivastava, S Tiwari Benchmarking: An International Journal 30 (2), 585-602, 2023 | 113 | 2023 |
A comparative assessment of land suitability evaluation methods for agricultural land use planning at village level D Vasu, R Srivastava, NG Patil, P Tiwary, P Chandran, SK Singh Land use policy 79, 146-163, 2018 | 104 | 2018 |
A technique for image splicing detection using hybrid feature set AK Jaiswal, R Srivastava Multimedia Tools and Applications 79 (17), 11837-11860, 2020 | 65 | 2020 |
Hyperspectral remote sensing: opportunities, status and challenges for rapid soil assessment in India BS Das, MC Sarathjith, P Santra, RN Sahoo, R Srivastava, A Routray, ... Current science, 860-868, 2015 | 61 | 2015 |
A survey of computational intelligence techniques in protein function prediction AK Tiwari, R Srivastava International journal of proteomics 2014, 2014 | 52 | 2014 |
Local entropy thresholding based fast retinal vessels segmentation by modifying matched filter NP Singh, R Kumar, R Srivastava International Conference on Computing, Communication & Automation, 1166-1170, 2015 | 48 | 2015 |
Multi-view recognition system for human activity based on multiple features for video surveillance system R Singh, AKS Kushwaha, R Srivastava Multimedia Tools and Applications 78, 17165-17196, 2019 | 45 | 2019 |
Multi-view human activity recognition based on silhouette and uniform rotation invariant local binary patterns AKS Kushwaha, S Srivastava, R Srivastava Multimedia Systems 23, 451-467, 2017 | 45 | 2017 |
Effective mammogram classification based on center symmetric-LBP features in wavelet domain using random forests VP Singh, S Srivastava, R Srivastava Technology and Health Care 25 (4), 709-727, 2017 | 45 | 2017 |
Comparison of PDE based and other techniques for speckle reduction from digitally reconstructed holographic images R Srivastava, JRP Gupta, H Parthasarthy Optics and Lasers in Engineering 48 (5), 626-635, 2010 | 41 | 2010 |
Image splicing detection using deep residual network AK Jaiswal, R Srivastava Proceedings of 2nd International Conference on Advanced Computing and …, 2019 | 40 | 2019 |
Restoration of Poisson noise corrupted digital images with nonlinear PDE based filters along with the choice of regularization parameter estimation R Srivastava, S Srivastava Pattern Recognition Letters 34 (10), 1175-1185, 2013 | 40 | 2013 |
Deep learning-based multi-modal approach using RGB and skeleton sequences for human activity recognition P Verma, A Sah, R Srivastava Multimedia Systems 26 (6), 671-685, 2020 | 39 | 2020 |
Mammogram classification using selected GLCM features and random forest classifier VP Singh, A Srivastava, D Kulshreshtha, A Chaudhary, R Srivastava International Journal of Computer Science and Information Security (IJCSIS …, 2016 | 39 | 2016 |
Automated digital mammogram segmentation using dispersed region growing and sliding window algorithm A Shrivastava, A Chaudhary, D Kulshreshtha, VP Singh, R Srivastava 2017 2nd international conference on image, vision and computing (ICIVC …, 2017 | 37 | 2017 |
Recent evolution of modern datasets for human activity recognition: a deep survey R Singh, A Sonawane, R Srivastava Multimedia Systems 26 (2), 83-106, 2020 | 34 | 2020 |
Design, analysis and classifier evaluation for a CAD tool for breast cancer detection from digital mammograms S Srivastava, N Sharma, SK Singh, R Srivastava International journal of Biomedical Engineering and technology 13 (3), 270-300, 2013 | 34 | 2013 |
Detection of copy-move forgery in digital image using multi-scale, multi-stage deep learning model AK Jaiswal, R Srivastava Neural Processing Letters 54 (1), 75-100, 2022 | 33 | 2022 |