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Vimal K Shrivastava

Showing results (1-10 of 9) with videos related to

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Computers in Biology and Medicine|October 20, 2023
A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classificationAyan Mondal, Vimal K Shrivastava
Computer Methods and Programs in Biomedicine|September 2, 2017
A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratificationVimal K Shrivastava, Narendra D Londhe, Rajendra S Sonawane, et al.
Computers in Biology and Medicine|August 24, 2015
Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigmVimal K Shrivastava, Narendra D Londhe, Rajendra S Sonawane, et al.
Computers in Biology and Medicine|May 26, 2015
First review on psoriasis severity risk stratification: An engineering perspectiveVimal K Shrivastava, Narendra D Londhe, Rajendra S Sonawane, et al.
Computer Methods and Programs in Biomedicine|February 3, 2016
Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kindVimal K Shrivastava, Narendra D Londhe, Rajendra S Sonawane, et al.
Computational Biology and Chemistry|May 16, 2020
Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasisManoranjan Dash, Narendra D Londhe, Subhojit Ghosh, et al.
Computer Methods and Programs in Biomedicine|December 29, 2015
A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdensTadashi Araki, Nobutaka Ikeda, Devarshi Shukla, et al.
Computer Methods and Programs in Biomedicine|April 5, 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 morphologyTadashi Araki, Nobutaka Ikeda, Devarshi Shukla, et al.
Computers in Biology and Medicine|December 5, 2016
Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning ParadigmTadashi Araki, Pankaj K Jain, Harman S Suri, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|October 20, 2023
A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classificationAyan Mondal, Vimal K Shrivastava
Computer Methods and Programs in Biomedicine|September 2, 2017
A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratificationVimal K Shrivastava, Narendra D Londhe, Rajendra S Sonawane, et al.
Computers in Biology and Medicine|August 24, 2015
Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigmVimal K Shrivastava, Narendra D Londhe, Rajendra S Sonawane, et al.
Computers in Biology and Medicine|May 26, 2015
First review on psoriasis severity risk stratification: An engineering perspectiveVimal K Shrivastava, Narendra D Londhe, Rajendra S Sonawane, et al.
Computer Methods and Programs in Biomedicine|February 3, 2016
Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kindVimal K Shrivastava, Narendra D Londhe, Rajendra S Sonawane, et al.
Computational Biology and Chemistry|May 16, 2020
Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasisManoranjan Dash, Narendra D Londhe, Subhojit Ghosh, et al.
Computer Methods and Programs in Biomedicine|December 29, 2015
A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdensTadashi Araki, Nobutaka Ikeda, Devarshi Shukla, et al.
Computer Methods and Programs in Biomedicine|April 5, 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 morphologyTadashi Araki, Nobutaka Ikeda, Devarshi Shukla, et al.
Computers in Biology and Medicine|December 5, 2016
Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning ParadigmTadashi Araki, Pankaj K Jain, Harman S Suri, et al.
Pageof 1