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ORCIDRajendra S. Sonawane
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- Abhijeet R. Sonawane (aka: Abhijeet Rajendra Sonawane)
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2020 – today
- 2024
[j13]Ritesh Raj
, Narendra D. Londhe, Rajendra S. Sonawane:
Objective scoring of psoriasis area and severity index in 2D RGB images using deep learning. Multim. Tools Appl. 83(26): 68253-68279 (2024)- [c2]Aruna Kumari Kovvuru, Narendra D. Londhe, Ritesh Raj, Rajendra S. Sonawane:
Overcomplete U-Net Networks for Psoriasis Detection in Digital Color Images. ICPR (22) 2024: 145-159 - 2023
- [j12]Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane:
PsLSNetV2: End to end deep learning system for measurement of area score of psoriasis regions in color images. Biomed. Signal Process. Control. 79(Part): 104138 (2023) - 2021
- [j11]Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane:
Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning. Comput. Methods Programs Biomed. 206: 106123 (2021) - 2020
- [j10]Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ritesh Raj, Rajendra S. Sonawane:
A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment. Appl. Soft Comput. 91: 106240 (2020) - [j9]Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Vimal K. Shrivastava, Rajendra S. Sonawane:
Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis. Comput. Biol. Chem. 86: 107247 (2020) - [c1]Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane:
Automatic Psoriasis Lesion Segmentation from Raw Color Images using Deep Learning. BIBM 2020: 723-728
2010 – 2019
- 2019
- [j8]Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ashish Semwal, Rajendra S. Sonawane:
PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network. Biomed. Signal Process. Control. 52: 226-237 (2019) - 2017
- [j7]Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri:
A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification. Comput. Methods Programs Biomed. 150: 9-22 (2017) - 2016
- [j6]Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri:
A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm. Biomed. Signal Process. Control. 28: 27-40 (2016) - [j5]Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri:
Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind. Comput. Methods Programs Biomed. 126: 98-109 (2016) - [j4]Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri:
Reliability analysis of psoriasis decision support system in principal component analysis framework. Data Knowl. Eng. 106: 1-17 (2016) - 2015
- [j3]Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri:
First review on psoriasis severity risk stratification: An engineering perspective. Comput. Biol. Medicine 63: 52-63 (2015) - [j2]Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri:
Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm. Comput. Biol. Medicine 65: 54-68 (2015) - [j1]Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri:
Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm. Expert Syst. Appl. 42(15-16): 6184-6195 (2015)
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