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Damodar Reddy Edla

Showing results (21-30 of 29) with videos related to

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Journal of Neuroscience Methods|July 5, 2024
EEG-based motor imagery channel selection and classification using hybrid optimization and two-tier deep learningAnnu Kumari, Damodar Reddy Edla, R Ravinder Reddy, et al.
Computer Methods and Programs in Biomedicine|March 8, 2018
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigmMainak Biswas, Venkatanareshbabu Kuppili, Damodar Reddy Edla, et al.
Frontiers in Physiology|April 26, 2024
BT-CNN: a balanced binary tree architecture for classification of brain tumour using MRI imagingSohamkumar Chauhan, Ramalingaswamy Cheruku, Damodar Reddy Edla, et al.
Journal of Medical Systems|December 9, 2017
Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue CharacterizationVenkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, et al.
Journal of Medical Systems|August 25, 2017
Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue CharacterizationVenkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, et al.
Medical & Biological Engineering & Computing|September 27, 2018
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke riskMainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, et al.
Frontiers in Bioscience (Landmark Edition)|November 24, 2018
State-of-the-art review on deep learning in medical imagingMainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, et al.
Computers in Biology and Medicine|May 21, 2018
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohortMainak Biswas, Venkatanareshbabu Kuppili, Tadashi Araki, et al.
European Journal of Radiology|April 22, 2019
The present and future of deep learning in radiologyLuca Saba, Mainak Biswas, Venkatanareshbabu Kuppili, et al.
Pageof 3

Showing results (21-30 of 29) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 29 results.
Journal of Neuroscience Methods|July 5, 2024
EEG-based motor imagery channel selection and classification using hybrid optimization and two-tier deep learningAnnu Kumari, Damodar Reddy Edla, R Ravinder Reddy, et al.
Computer Methods and Programs in Biomedicine|March 8, 2018
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigmMainak Biswas, Venkatanareshbabu Kuppili, Damodar Reddy Edla, et al.
Frontiers in Physiology|April 26, 2024
BT-CNN: a balanced binary tree architecture for classification of brain tumour using MRI imagingSohamkumar Chauhan, Ramalingaswamy Cheruku, Damodar Reddy Edla, et al.
Journal of Medical Systems|December 9, 2017
Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue CharacterizationVenkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, et al.
Journal of Medical Systems|August 25, 2017
Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue CharacterizationVenkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, et al.
Medical & Biological Engineering & Computing|September 27, 2018
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke riskMainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, et al.
Frontiers in Bioscience (Landmark Edition)|November 24, 2018
State-of-the-art review on deep learning in medical imagingMainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, et al.
Computers in Biology and Medicine|May 21, 2018
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohortMainak Biswas, Venkatanareshbabu Kuppili, Tadashi Araki, et al.
European Journal of Radiology|April 22, 2019
The present and future of deep learning in radiologyLuca Saba, Mainak Biswas, Venkatanareshbabu Kuppili, et al.
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