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Anjan Gudigar

Showing results (1-10 of 20) with videos related to

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F1000Research|January 26, 2026
A Review of Deep Learning Techniques for EEG-Based Emotion Recognition: Models, Methods, and DatasetsP Sreehari, U Raghavendra, Anjan Gudigar
Medical & Biological Engineering & Computing|February 24, 2018
An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition techniqueFilippo Molinari, U Raghavendra, Anjan Gudigar, et al.
Computer Methods and Programs in Biomedicine|December 2, 2019
Brain pathology identification using computer aided diagnostic tool: A systematic reviewAnjan Gudigar, U Raghavendra, Ajay Hegde, et al.
Scientific Reports|May 21, 2026
A multi-level attention CNN-transformer based framework for the detection of brain tumor using regional dual-score explainabilityAryaman Kaprekar, Anjan Gudigar, U Raghavendra, et al.
Journal of Medical Systems|July 31, 2019
A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus ImagesU Raghavendra, Anjan Gudigar, Sulatha V Bhandary, et al.
Computer Methods and Programs in Biomedicine|January 30, 2022
Automated emotion recognition: Current trends and future perspectivesM Maithri, U Raghavendra, Anjan Gudigar, et al.
International Journal of Environmental Research and Public Health|July 2, 2021
Automated Detection and Screening of Traumatic Brain Injury (TBI) Using Computed Tomography Images: A Comprehensive Review and Future PerspectivesVidhya V, 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.
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.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
F1000Research|January 26, 2026
A Review of Deep Learning Techniques for EEG-Based Emotion Recognition: Models, Methods, and DatasetsP Sreehari, U Raghavendra, Anjan Gudigar
Medical & Biological Engineering & Computing|February 24, 2018
An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition techniqueFilippo Molinari, U Raghavendra, Anjan Gudigar, et al.
Computer Methods and Programs in Biomedicine|December 2, 2019
Brain pathology identification using computer aided diagnostic tool: A systematic reviewAnjan Gudigar, U Raghavendra, Ajay Hegde, et al.
Scientific Reports|May 21, 2026
A multi-level attention CNN-transformer based framework for the detection of brain tumor using regional dual-score explainabilityAryaman Kaprekar, Anjan Gudigar, U Raghavendra, et al.
Journal of Medical Systems|July 31, 2019
A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus ImagesU Raghavendra, Anjan Gudigar, Sulatha V Bhandary, et al.
Computer Methods and Programs in Biomedicine|January 30, 2022
Automated emotion recognition: Current trends and future perspectivesM Maithri, U Raghavendra, Anjan Gudigar, et al.
International Journal of Environmental Research and Public Health|July 2, 2021
Automated Detection and Screening of Traumatic Brain Injury (TBI) Using Computed Tomography Images: A Comprehensive Review and Future PerspectivesVidhya V, 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.
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.
Pageof 2