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)

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)

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)

PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network. - Manoranjan Dash; Narendra D. Londhe; Subhojit Ghosh; Ashish Semwal; Rajendra S. Sonawane (Biomed. Signal Process. Control., 2019)

Automatic Psoriasis Lesion Segmentation from Raw Color Images using Deep Learning. - Ritesh Raj; Narendra D. Londhe; Rajendra S. Sonawane (BIBM, 2020)

A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment. - Manoranjan Dash; Narendra D. Londhe; Subhojit Ghosh; Ritesh Raj; Rajendra S. Sonawane (Appl. Soft Comput., 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)

Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning. - Ritesh Raj; Narendra D. Londhe; Rajendra S. Sonawane (Comput. Methods Programs Biomed., 2021)

PsLSNetV2: End to end deep learning system for measurement of area score of psoriasis regions in color images. - Ritesh Raj; Narendra D. Londhe; Rajendra S. Sonawane (Biomed. Signal Process. Control., 2023)

Overcomplete U-Net Networks for Psoriasis Detection in Digital Color Images. - Aruna Kumari Kovvuru; Narendra D. Londhe; Ritesh Raj; Rajendra S. Sonawane (ICPR (22), 2024)

Objective scoring of psoriasis area and severity index in 2D RGB images using deep learning. - Ritesh Raj; Narendra D. Londhe; Rajendra S. Sonawane (Multim. Tools Appl., 2024)