U. Raghavendra

According to our database, U. Raghavendra authored at least 56 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images.

Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, Jyothi Samanth, Mahesh Anil Inamdar, Mukund A. Prabhu, U. Rajendra Acharya

IEEE Access, 2024

2023

Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives.

U. Raghavendra, Anjan Gudigar, Aritra Paul, T. S. Goutham, Mahesh Anil Inamdar, Ajay Hegde, Aruna Devi, Chui Ping Ooi, Ravinesh C. Deo, Prabal Datta Barua, Filippo Molinari, Edward J. Ciaccio, U. Rajendra Acharya

Comput. Biol. Medicine, September, 2023

Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals.

U. Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, Subha D. Puthankattil, Nahrizul Adib Kadri, Edward J. Ciaccio, U. Rajendra Acharya

Expert Syst. J. Knowl. Eng., May, 2023

FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas.

Anjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Wai-Yee Chan, U. Rajendra Acharya

Int. J. Imaging Syst. Technol., March, 2023

Motion pattern-based crowd scene classification using histogram of angular deviations of trajectories.

Abhilash K. Pai, Prahaladh Chandrahasan, U. Raghavendra, A. Kotegar Karunakar

Vis. Comput., February, 2023

YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images.

Vidhya V., U. Raghavendra, Anjan Gudigar, Sudipta Basak, Sankalp Mallappa, Ajay Hegde, Girish R. Menon, Prabal Datta Barua, Massimo Salvi, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya

IEEE Access, 2023

A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images.

Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar, Sarvesh Bhandary, Massimo Salvi, Ravinesh C. Deo, Prabal Datta Barua, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya

IEEE Access, 2023

Fusion of Time and Frequency Domain Attributes for the Automated Recognition of Emotion using EEG Recordings.

M. Maithri, U. Raghavendra, Anjan Gudigar, Sambrama, Samir Kumar Praharaj

Proceedings of the OITS International Conference on Information Technology, 2023

2022

Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques.

Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Chinmay Dharmik, Mokshagna Rohit Gangavarapu, Krishnananda Nayak, Edward J. Ciaccio, Ru San Tan, Filippo Molinari, U. Rajendra Acharya

J. Imaging, 2022

Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques.

Vidhya V., U. Raghavendra, Anjan Gudigar, Praneet Kasula, Yashas Chakole, Ajay Hegde, Girish Menon R, Ooi Chui Ping, Edward J. Ciaccio, U. Rajendra Acharya

Informatics, 2022

Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding.

Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Akhila Vasudeva, Ashwal A. A. J., Krishnananda Nayak, Ru San Tan, Edward J. Ciaccio, Ooi Chui Ping, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya

Informatics, 2022

Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study.

U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, V. Rajinikanth, Edward J. Ciaccio, Chai Hong Yeong, Suresh Chandra Satapathy, Filippo Molinari, U. Rajendra Acharya

Int. J. Imaging Syst. Technol., 2022

Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images.

M. Maithri, Dhanush G. Ballal, Santhosh Kumar, U. Raghavendra, Anjan Gudigar, Wai-Yee Chan, Shravya Macherla, Ravindranath Vineetha, Pratibha Gopalkrishna, Edward J. Ciaccio, U. Rajendra Acharya

Comput., 2022

Automated emotion recognition: Current trends and future perspectives.

M. Maithri, U. Raghavendra, Anjan Gudigar, Jyothi Samanth, Prabal Datta Barua, Murugappan Murugappan, Yashas Chakole, U. Rajendra Acharya

Comput. Methods Programs Biomed., 2022

2021

A Review on Computer Aided Diagnosis of Acute Brain Stroke.

Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar, Yashas Chakole, Ajay Hegde, Girish R. Menon, Prabal Datta Barua, Elizabeth Emma Palmer, Kang Hao Cheong, Wai-Yee Chan, Edward J. Ciaccio, U. Rajendra Acharya

Sensors, 2021

Role of Artificial Intelligence in COVID-19 Detection.

Anjan Gudigar, U. Raghavendra, Sneha Nayak, Ooi Chui Ping, Wai-Yee Chan, Mokshagna Rohit Gangavarapu, Chinmay Dharmik, Jyothi Samanth, Nahrizul Adib Kadri, Khairunnisa Hasikin, Prabal Datta Barua, Subrata Chakraborty, Edward J. Ciaccio, U. Rajendra Acharya

Sensors, 2021

Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images.

The-Hanh Pham, U. Raghavendra, Joel Koh En Wei, Anjan Gudigar, Wai-Yee Chan, Marlina Tanty Ramli, Kartini Rahmat, Farhana Fadzli, Kwan Hoong Ng, Ooi Chui Ping, Edward J. Ciaccio, Hamido Fujita, U. Rajendra Acharya

J. Ambient Intell. Humaniz. Comput., 2021

2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer.

U. Raghavendra, Anjan Gudigar, Edward J. Ciaccio, Kwan Hoong Ng, Wai-Yee Chan, Kartini Rahmat, U. Rajendra Acharya

Expert Syst. J. Knowl. Eng., 2021

Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images.

Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Mokshagna Rohit Gangavarapu, Abhilash Kudva, Ganesh Paramasivam, Krishnananda Nayak, Ru San Tan, Filippo Molinari, Edward J. Ciaccio, U. Rajendra Acharya

Biomed. Signal Process. Control., 2021

2020

A deep learning approach for Parkinson's disease diagnosis from EEG signals.

Shu Lih Oh, Yuki Hagiwara, U. Raghavendra, Yuvaraj Rajamanickam, Arunkumar N., M. Murugappan, U. Rajendra Acharya

Neural Comput. Appl., 2020

Brain pathology identification using computer aided diagnostic tool: A systematic review.

Anjan Gudigar, U. Raghavendra, Ajay Hegde, M. Kalyani, Edward J. Ciaccio, U. Rajendra Acharya

Comput. Methods Programs Biomed., 2020

A novel hybrid approach for automated detection of retinal detachment using ultrasound images.

Joel Koh En Wei, U. Raghavendra, Anjan Gudigar, Ooi Chui Ping, Filippo Molinari, Samarth Mishra, Sinnakaruppan Mathavan, Rajiv Raman, U. Rajendra Acharya

Comput. Biol. Medicine, 2020

Scene-Independent Motion Pattern Segmentation in Crowded Video Scenes Using Spatio-Angular Density-Based Clustering.

Abhilash K. Pai, A. Kotegar Karunakar, U. Raghavendra

IEEE Access, 2020

Local Preserving Class Separation Framework to Identify Gestational Diabetes Mellitus Mother Using Ultrasound Fetal Cardiac Image.

Anjan Gudigar, Jyothi Samanth, U. Raghavendra, Chinmay Dharmik, Akhila Vasudeva, Padmakumar R, Ru San Tan, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya

IEEE Access, 2020

2019

Global weighted LBP based entropy features for the assessment of pulmonary hypertension.

Anjan Gudigar, U. Raghavendra, Tom Devasia, Krishnananda Nayak, Sheik Mohammed Danish, Gautam Kamath, Jyothi Samanth, Umesh M. Pai, Vidya Nayak, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya

Pattern Recognit. Lett., 2019

An efficient traffic sign recognition based on graph embedding features.

Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya

Neural Comput. Appl., 2019

A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images.

U. Raghavendra, Anjan Gudigar, Sulatha V. Bhandary, Tejaswi N. Rao, Edward J. Ciaccio, U. Rajendra Acharya

J. Medical Syst., 2019

Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study.

Anjan Gudigar, U. Raghavendra, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya

Future Gener. Comput. Syst., 2019

Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study.

Anjan Gudigar, U. Raghavendra, Edward J. Ciaccio, Arunkumar N., Enas W. Abdulhay, U. Rajendra Acharya

IEEE Access, 2019

2018

An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique.

Filippo Molinari, U. Raghavendra, Anjan Gudigar, Kristen M. Meiburger, U. Rajendra Acharya

Medical Biol. Eng. Comput., 2018

Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images.

U. Raghavendra, Hamido Fujita, Sulatha V. Bhandary, Anjan Gudigar, Jen Hong Tan, U. Rajendra Acharya

Inf. Sci., 2018

Use of Nonlinear Features for Automated Characterization of Suspicious Ovarian Tumors Using Ultrasound Images in Fuzzy Forest Framework.

U. Rajendra Acharya, Ayesha Akter, Pradeep Chowriappa, Sumeet Dua, U. Raghavendra, Joel E. W. Koh, Jen Hong Tan, Sook Sam Leong, Anushya Vijayananthan, Yuki Hagiwara, Marlina Tanty Ramli, Kwan Hoong Ng

Int. J. Fuzzy Syst., 2018

Age-related Macular Degeneration detection using deep convolutional neural network.

Jen Hong Tan, Sulatha V. Bhandary, Sobha Sivaprasad, Yuki Hagiwara, Akanksha Bagchi, U. Raghavendra, A. Krishna Rao, Biju Raju, Nitin Shridhara Shetty, Arkadiusz Gertych, Kuang Chua Chua, U. Rajendra Acharya

Future Gener. Comput. Syst., 2018

Automated system for the detection of thoracolumbar fractures using a CNN architecture.

U. Raghavendra, N. Shyamasunder Bhat, Anjan Gudigar, U. Rajendra Acharya

Future Gener. Comput. Syst., 2018

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network.

U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, U. Raghavendra, Jen Hong Tan, Muhammad Adam, Arkadiusz Gertych, Yuki Hagiwara

Future Gener. Comput. Syst., 2018

Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features.

U. Rajendra Acharya, U. Raghavendra, Joel E. W. Koh, Kristen M. Meiburger, Edward J. Ciaccio, Yuki Hagiwara, Filippo Molinari, Wai Ling Leong, Anushya Vijayananthan, Nur Adura Yaakup, Mohd Kamil Bin Mohd Fabell, Chai Hong Yeong

Comput. Methods Programs Biomed., 2018

Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images.

U. Raghavendra, Anjan Gudigar, M. Maithri, Arkadiusz Gertych, Kristen M. Meiburger, Chai Hong Yeong, Chakri Madla, Pailin Kongmebhol, Filippo Molinari, Kwan Hoong Ng, U. Rajendra Acharya

Comput. Biol. Medicine, 2018

Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images.

U. Raghavendra, Hamido Fujita, Anjan Gudigar, Shetty Ranjan, Krishnananda Nayak, Pai Umesh, Jyothi Samanth, U. Rajendra Acharya

Biomed. Signal Process. Control., 2018

Automated Detection of Lung Nodules Using HOG Technique with Chest X-Ray Images.

U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, Hamido Fujita, U. Rajendra Acharya

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

2017

Local texture patterns for traffic sign recognition using higher order spectra.

Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya

Pattern Recognit. Lett., 2017

Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images.

U. Raghavendra, U. Rajendra Acharya, Anjan Gudigar, Shetty Ranjan, Krishnananda Nayak, Pai Umesh, Jyothi Samanth, Chaithra Nayak

Neural Comput. Appl., 2017

Multiple thresholding and subspace based approach for detection and recognition of traffic sign.

Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya

Multim. Tools Appl., 2017

Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features.

U. Rajendra Acharya, Yuki Hagiwara, Joel E. W. Koh, Jen Hong Tan, Sulatha V. Bhandary, A. Krishna Rao, U. Raghavendra

J. Comput. Sci., 2017

Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies.

Joel E. W. Koh, U. Rajendra Acharya, Yuki Hagiwara, U. Raghavendra, Jen Hong Tan, Subbhuraam Vinitha Sree, Sulatha V. Bhandary, A. Krishna Rao, Sobha Sivaprasad, Kuang Chua Chua, Augustinus Laude, Louis Tong

Comput. Biol. Medicine, 2017

Automated Characterization of Breast Cancer Using Steerable Filters.

Hamido Fujita, U. Raghavendra, Anjan Gudigar, Vinoy Vishnu Vadakkepat, U. Rajendra Acharya

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2017

A novel crowd density estimation technique using local binary pattern and Gabor features.

Abhilash K. Pai, A. Kotegar Karunakar, U. Raghavendra

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016

A review on automatic detection and recognition of traffic sign.

Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra

Multim. Tools Appl., 2016

Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images.

U. Rajendra Acharya, Hamido Fujita, Shreya Bhat, U. Raghavendra, Anjan Gudigar, Filippo Molinari, Anushya Vijayananthan, Kwan Hoong Ng

Inf. Fusion, 2016

Digital camera identification using PRNU: A feature based approach.

K. R. Akshatha, A. Kotegar Karunakar, H. Anitha, U. Raghavendra, Dinesh Shetty

Digit. Investig., 2016

Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images.

U. Rajendra Acharya, U. Raghavendra, Hamido Fujita, Yuki Hagiwara, Joel E. W. Koh, Jen Hong Tan, K. Vidya Sudarshan, Anushya Vijayananthan, Chai Hong Yeong, Anjan Gudigar, Kwan Hoong Ng

Comput. Biol. Medicine, 2016

Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images.

U. Raghavendra, U. Rajendra Acharya, Hamido Fujita, Anjan Gudigar, Jen Hong Tan, Shreesha Chokkadi

Appl. Soft Comput., 2016

2015

Anchor-diagonal-based shape adaptive local support region for efficient stereo matching.

U. Raghavendra, Krishnamoorthi Makkithaya, A. Kotegar Karunakar

Signal Image Video Process., 2015

2014

Structural similarity-based ranking of stereo algorithms for dynamic adaptation in real-time robot navigation.

U. Raghavendra, Krishnamoorthi Makkithaya, A. Kotegar Karunakar

Int. J. Comput. Vis. Robotics, 2014

2011

Qualitative and Quantitative Evaluation of Correlation Based Stereo Matching Algorithms.

U. Raghavendra, Krishnamoorthi Makkithaya, A. Kotegar Karunakar

Proceedings of the Advanced Computing, Networking and Security - International Conference, 2011

1996

A VLSI architecture for cellular automata based parallel data compression.

Subarna Bhattacharjee, J. Bhattacharya, U. Raghavendra, Debashis Saha, Parimal Pal Chaudhuri

Proceedings of the 9th International Conference on VLSI Design (VLSI Design 1996), 1996

An efficient encoding algorithm for image compression hardware based on cellular automata.

Subarna Bhattacharjee, U. Raghavendra, Dipanwita Roy Chowdhury, Parimal Pal Chaudhuri

Proceedings of the 3rd International Conference on High Performance Computing, 1996