First review on psoriasis severity risk stratification: An engineering perspective. - Vimal K. Shrivastava; Narendra D. Londhe; Rajendra S. Sonawane; Jasjit S. Suri (Comput. Biol. Medicine, 2015)

Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm. - Vimal K. Shrivastava; Narendra D. Londhe; Rajendra S. Sonawane; Jasjit S. Suri (Comput. Biol. Medicine, 2015)

Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm. - Vimal K. Shrivastava; Narendra D. Londhe; Rajendra S. Sonawane; Jasjit S. Suri (Expert Syst. Appl., 2015)

A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm. - Vimal K. Shrivastava; Narendra D. Londhe; Rajendra S. Sonawane; Jasjit S. Suri (Biomed. Signal Process. Control., 2016)

PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology. - Tadashi Araki; Nobutaka Ikeda; Devarshi Shukla; Pankaj Kumar Jain; Narendra D. Londhe; Vimal K. Shrivastava; Sumit K. Banchhor; Luca Saba; Andrew Nicolaides; Shoaib Shafique; John R. Laird; Jasjit S. Suri (Comput. Methods Programs Biomed., 2016)

A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens. - Tadashi Araki; Nobutaka Ikeda; Devarshi Shukla; Narendra D. Londhe; Vimal K. Shrivastava; Sumit K. Banchhor; Luca Saba; Andrew Nicolaides; Shoaib Shafique; John R. Laird; Jasjit S. Suri (Comput. Methods Programs Biomed., 2016)

Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind. - Vimal K. Shrivastava; Narendra D. Londhe; Rajendra S. Sonawane; Jasjit S. Suri (Comput. Methods Programs Biomed., 2016)

Reliability analysis of psoriasis decision support system in principal component analysis framework. - Vimal K. Shrivastava; Narendra D. Londhe; Rajendra S. Sonawane; Jasjit S. Suri (Data Knowl. Eng., 2016)

Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm. - Tadashi Araki; Pankaj Kumar Jain; Harman S. Suri; Narendra D. Londhe; Nobutaka Ikeda; Ayman El-Baz; Vimal K. Shrivastava; Luca Saba; Andrew Nicolaides; Shoaib Shafique; John R. Laird; Ajay Gupta; et al. (Comput. Biol. Medicine, 2017)

A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification. - Vimal K. Shrivastava; Narendra D. Londhe; Rajendra S. Sonawane; Jasjit S. Suri (Comput. Methods Programs Biomed., 2017)

Fisher discriminant ratio based multiview active learning for the classification of remote sensing images. - Monoj K. Pradhan; Sonajharia Minz; Vimal K. Shrivastava (RAIT, 2018)

Fast active learning for hyperspectral image classification using extreme learning machine. - Monoj K. Pradhan; Sonajharia Minz; Vimal K. Shrivastava (IET Image Process., 2019)

Transfer Learning-Based Framework for Classification of Pest in Tomato Plants. - Gayatri Pattnaik; Vimal K. Shrivastava; K. Parvathi (Appl. Artif. Intell., 2020)

Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis. - Manoranjan Dash; Narendra D. Londhe; Subhojit Ghosh; Vimal K. Shrivastava; Rajendra S. Sonawane (Comput. Biol. Chem., 2020)

Effect of pooling strategy on convolutional neural network for classification of hyperspectral remote sensing images. - Somenath Bera; Vimal K. Shrivastava (IET Image Process., 2020)

Tomato pest classification using deep convolutional neural network with transfer learning, fine tuning and scratch learning. - Gayatri Pattnaik; Vimal K. Shrivastava; K. Parvathi (Intell. Decis. Technol., 2021)

A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classification. - Ayan Mondal 002; Vimal K. Shrivastava (Comput. Biol. Medicine, 2022)

Diagnosis of COVID-19 based on chest X-ray images using pre-trained deep convolutional neural networks. - Vimal K. Shrivastava; Monoj K. Pradhan (Intell. Decis. Technol., 2022)

Improved performance on tomato pest classification via transfer learning-based deep convolutional neural network with regularisation techniques. - Gayatri Pattnaik; Vimal K. Shrivastava; K. Parvathi (Int. J. Comput. Sci. Eng., 2023)

A fine tuning approach using modified DenseNet model for skin cancer classification. - Ayan Mondal 002; Vimal K. Shrivastava (Int. J. Medical Eng. Informatics, 2023)

Diagnosis of COVID-19 using chest X-ray images based on modified DarkCovidNet model. - Dawit Kiros Redie; Abdulhakim Edao Sirko; Tensaie Melkamu Demissie; Semagn Sisay Teferi; Vimal K. Shrivastava; Om Prakash Verma; Tarun Kumar Sharma (Evol. Intell., 2023)

Sb-PiPLU: A Novel Parametric Activation Function for Deep Learning. - Ayan Mondal 002; Vimal K. Shrivastava; Ayan Chatterjee; Raghavendra Ramachandra (IEEE Access, 2025)

Deep hierarchical spectral-spatial feature fusion for hyperspectral image classification based on convolutional neural network. - Somenath Bera; Naushad Varish; Syed Irfan Yaqoob; Mudassir Rafi; Vimal K. Shrivastava (Intell. Data Anal., 2025)

Enhancing Melanoma Detection With Anisotropic Median Filtering and Multinomial Classification Vision Transformer. - R. Naga Swetha; Vimal K. Shrivastava (Int. J. Imaging Syst. Technol., 2025)