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U Raghavendra

Showing results (11-20 of 25) with videos related to

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Scientific Reports|February 19, 2026
TrustNet: a lightweight network with integrated uncertainty quantification and quantitative explainable AI for ischemic stroke detection in CT imagesMahesh Anil Inamdar, Anjan Gudigar, U Raghavendra, et al.
Ultrasonics|February 22, 2017
Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesionsU Raghavendra, U Rajendra Acharya, Anjan Gudigar, et al.
Computers in Biology and Medicine|April 7, 2020
A novel hybrid approach for automated detection of retinal detachment using ultrasound imagesJoel En Wei Koh, U Raghavendra, Anjan Gudigar, et al.
Indian Journal of Experimental Biology|March 13, 2014
Establishment of an in vitro plantlet regeneration protocol for unique varieties of brinjal (Solanum melongena L.) var. Mattu Gulla and Perampalli GullaA Muthusamy, K S Vidya, P K Pratibha, et al.
Journal of Imaging|April 21, 2022
Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern TechniquesAnjan Gudigar, U Raghavendra, Jyothi Samanth, et al.
Computers in Biology and Medicine|February 19, 2018
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound imagesU Raghavendra, Anjan Gudigar, M Maithri, et al.
Computational and Mathematical Methods in Medicine|May 16, 2022
Novel Radiomics Features for Automated Detection of Cardiac Abnormality in Patients with PacemakerM Umesh Pai, Ali Abbasian Ardakani, Aditya Kamath, et al.
International Journal of Environmental Research and Public Health|October 13, 2021
Recent Trends in Artificial Intelligence-Assisted Coronary Atherosclerotic Plaque CharacterizationAnjan Gudigar, Sneha Nayak, Jyothi Samanth, et al.
Computers in Biology and Medicine|November 9, 2016
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound imagesU Rajendra Acharya, U Raghavendra, Hamido Fujita, et al.
Contrast Media & Molecular Imaging|June 10, 2022
Automated Diagnosis and Assessment of Cardiac Structural Alteration in Hypertension Ultrasound ImagesU Raghavendra, Joel Koh En Wei, Anjan Gudigar, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Scientific Reports|February 19, 2026
TrustNet: a lightweight network with integrated uncertainty quantification and quantitative explainable AI for ischemic stroke detection in CT imagesMahesh Anil Inamdar, Anjan Gudigar, U Raghavendra, et al.
Ultrasonics|February 22, 2017
Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesionsU Raghavendra, U Rajendra Acharya, Anjan Gudigar, et al.
Computers in Biology and Medicine|April 7, 2020
A novel hybrid approach for automated detection of retinal detachment using ultrasound imagesJoel En Wei Koh, U Raghavendra, Anjan Gudigar, et al.
Indian Journal of Experimental Biology|March 13, 2014
Establishment of an in vitro plantlet regeneration protocol for unique varieties of brinjal (Solanum melongena L.) var. Mattu Gulla and Perampalli GullaA Muthusamy, K S Vidya, P K Pratibha, et al.
Journal of Imaging|April 21, 2022
Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern TechniquesAnjan Gudigar, U Raghavendra, Jyothi Samanth, et al.
Computers in Biology and Medicine|February 19, 2018
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound imagesU Raghavendra, Anjan Gudigar, M Maithri, et al.
Computational and Mathematical Methods in Medicine|May 16, 2022
Novel Radiomics Features for Automated Detection of Cardiac Abnormality in Patients with PacemakerM Umesh Pai, Ali Abbasian Ardakani, Aditya Kamath, et al.
International Journal of Environmental Research and Public Health|October 13, 2021
Recent Trends in Artificial Intelligence-Assisted Coronary Atherosclerotic Plaque CharacterizationAnjan Gudigar, Sneha Nayak, Jyothi Samanth, et al.
Computers in Biology and Medicine|November 9, 2016
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound imagesU Rajendra Acharya, U Raghavendra, Hamido Fujita, et al.
Contrast Media & Molecular Imaging|June 10, 2022
Automated Diagnosis and Assessment of Cardiac Structural Alteration in Hypertension Ultrasound ImagesU Raghavendra, Joel Koh En Wei, Anjan Gudigar, et al.
Pageof 3