| Rice Plant Disease Classification Using Transfer Learning of Deep Convolution Neural Network VK Shrivastava, MK Pradhan, S Minz, MP Thakur The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 266 | 2019 |
| Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification S Bera, VK Shrivastava International Journal of Remote Sensing 41 (7), 2664-2683, 2020 | 260 | 2020 |
| Rice plant disease classification using color features: a machine learning paradigm VK Shrivastava, MK Pradhan Journal of Plant Pathology 103 (1), 17-26, 2021 | 257 | 2021 |
| Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: a first comparative study of its kind VK Shrivastava, ND Londhe, RS Sonawane, JS Suri Computer methods and programs in biomedicine 126, 98-109, 2016 | 150 | 2016 |
| A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification VK Shrivastava, ND Londhe, RS Sonawane, JS Suri Computer methods and programs in biomedicine 150, 9-22, 2017 | 118 | 2017 |
| Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm VK Shrivastava, ND Londhe, RS Sonawane, JS Suri Expert Systems with Applications 42 (15-16), 6184-6195, 2015 | 108 | 2015 |
| PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale … T Araki, N Ikeda, D Shukla, PK Jain, ND Londhe, VK Shrivastava, ... Computer methods and programs in biomedicine 128, 137-158, 2016 | 105 | 2016 |
| Transfer learning-based framework for classification of pest in tomato plants G Pattnaik, VK Shrivastava, K Parvathi Applied Artificial Intelligence 34 (13), 981-993, 2020 | 94 | 2020 |
| Stroke risk stratification and its validation using ultrasonic echolucent carotid wall plaque morphology: a machine learning paradigm T Araki, PK Jain, HS Suri, ND Londhe, N Ikeda, A El-Baz, VK Shrivastava, ... Computers in biology and medicine 80, 77-96, 2017 | 84 | 2017 |
| Application of pre-trained deep convolutional neural networks for rice plant disease classification VK Shrivastava, MK Pradhan, MP Thakur 2021 international conference on artificial intelligence and smart systems …, 2021 | 72 | 2021 |
| Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm VK Shrivastava, ND Londhe, RS Sonawane, JS Suri Computers in biology and medicine 65, 54-68, 2015 | 68 | 2015 |
| A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens T Araki, N Ikeda, D Shukla, ND Londhe, VK Shrivastava, SK Banchhor, ... Computer methods and programs in biomedicine 124, 161-179, 2016 | 66 | 2016 |
| First review on psoriasis severity risk stratification: An engineering perspective VK Shrivastava, ND Londhe, RS Sonawane, JS Suri Computers in biology and medicine 63, 52-63, 2015 | 63 | 2015 |
| A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classification A Mondal, VK Shrivastava Computers in Biology and Medicine 150, 106183, 2022 | 44 | 2022 |
| Segmentation and border detection of melanoma lesions using convolutional neural network and SVM AR Jadhav, AG Ghontale, VK Shrivastava Computational Intelligence: Theories, Applications and Future Directions …, 2019 | 40 | 2019 |
| Effect of pooling strategy on convolutional neural network for classification of hyperspectral remote sensing images S Bera, VK Shrivastava IET Image Processing 14 (3), 480-486, 2020 | 38 | 2020 |
| Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis M Dash, ND Londhe, S Ghosh, VK Shrivastava, RS Sonawane Computational Biology and Chemistry 86, 107247, 2020 | 33 | 2020 |
| A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm VK Shrivastava, ND Londhe, RS Sonawane, JS Suri Biomedical Signal Processing and Control 28, 27-40, 2016 | 32 | 2016 |
| Advances in Hyperspectral Image Classification Based on Convolutional Neural Networks: A Review S Bera, VK Shrivastava, SC Satapathy CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES 133 (2), 219-250, 2022 | 24 | 2022 |
| Diagnosis of COVID-19 using chest X-ray images based on modified DarkCovidNet model DK Redie, AE Sirko, TM Demissie, SS Teferi, VK Shrivastava, OP Verma, ... Evolutionary Intelligence 16 (3), 729-738, 2023 | 22 | 2023 |
Narendra LondheProfessor, National Institute of Technology RaipurEmail yang diverifikasi di nitrr.ac.in
