U. Raghavendra

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 53

Top Topics

Automated Detection

Comparative Study

Ultrasound Images

Top Venues

Comput. Biol. Medicine

Future Gener. Comput. Syst.

Comput. Methods Programs Biomed.

Publications

Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, Jyothi Samanth, M. Maithri, Mahesh Anil Inamdar, Mukund A. Prabhu, Ajay Hegde, Massimo Salvi, Chai Hong Yeong, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023). Comput. Biol. Medicine 172 (2024)
Massimo Salvi, Alessandro Mogetta, U. Raghavendra, Anjan Gudigar, U. Rajendra Acharya, Filippo Molinari
A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology. Appl. Soft Comput. 165 (2024)
Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, Jyothi Samanth, Mahesh Anil Inamdar, Mukund A. Prabhu, U. Rajendra Acharya
Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images. IEEE Access 12 (2024)
U. Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, Subha D. Puthankattil, Nahrizul Adib Kadri, Edward J. Ciaccio, U. Rajendra Acharya
Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals. Expert Syst. J. Knowl. Eng. 40 (4) (2023)
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
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives. Comput. Biol. Medicine 163 (2023)
Anjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Wai-Yee Chan, U. Rajendra Acharya
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas. Int. J. Imaging Syst. Technol. 33 (2) (2023)
M. Maithri, U. Raghavendra, Anjan Gudigar, Sambrama, Samir Kumar Praharaj
Fusion of Time and Frequency Domain Attributes for the Automated Recognition of Emotion using EEG Recordings. OCIT (2023)
Abhilash K. Pai, Prahaladh Chandrahasan, U. Raghavendra, A. Kotegar Karunakar
Motion pattern-based crowd scene classification using histogram of angular deviations of trajectories. Vis. Comput. 39 (2) (2023)
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
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images. IEEE Access 11 (2023)
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
YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images. IEEE Access 11 (2023)
Vidhya V., U. Raghavendra, Anjan Gudigar, Praneet Kasula, Yashas Chakole, Ajay Hegde, Girish Menon R, Ooi Chui Ping, Edward J. Ciaccio, U. Rajendra Acharya
Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques. Informatics 9 (1) (2022)
M. Maithri, U. Raghavendra, Anjan Gudigar, Jyothi Samanth, Prabal Datta Barua, Murugappan Murugappan, Yashas Chakole, U. Rajendra Acharya
Automated emotion recognition: Current trends and future perspectives. Comput. Methods Programs Biomed. 215 (2022)
Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Chinmay Dharmik, Mokshagna Rohit Gangavarapu, Krishnananda Nayak, Edward J. Ciaccio, Ru San Tan, Filippo Molinari, U. Rajendra Acharya
Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques. J. Imaging 8 (4) (2022)
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
Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding. Informatics 9 (2) (2022)
U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, V. Rajinikanth, Edward J. Ciaccio, Chai Hong Yeong, Suresh Chandra Satapathy, Filippo Molinari, U. Rajendra Acharya
Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study. Int. J. Imaging Syst. Technol. 32 (2) (2022)
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
Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images. Comput. 10 (1) (2022)
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
Role of Artificial Intelligence in COVID-19 Detection. Sensors 21 (23) (2021)
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
Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images. J. Ambient Intell. Humaniz. Comput. 12 (2) (2021)
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
Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images. Biomed. Signal Process. Control. 68 (2021)
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
A Review on Computer Aided Diagnosis of Acute Brain Stroke. Sensors 21 (24) (2021)
U. Raghavendra, Anjan Gudigar, Edward J. Ciaccio, Kwan Hoong Ng, Wai-Yee Chan, Kartini Rahmat, U. Rajendra Acharya
2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer. Expert Syst. J. Knowl. Eng. 38 (6) (2021)
Anjan Gudigar, Jyothi Samanth, U. Raghavendra, Chinmay Dharmik, Akhila Vasudeva, Padmakumar R, Ru San Tan, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya
Local Preserving Class Separation Framework to Identify Gestational Diabetes Mellitus Mother Using Ultrasound Fetal Cardiac Image. IEEE Access 8 (2020)
Anjan Gudigar, U. Raghavendra, Ajay Hegde, M. Kalyani, Edward J. Ciaccio, U. Rajendra Acharya
Brain pathology identification using computer aided diagnostic tool: A systematic review. Comput. Methods Programs Biomed. 187 (2020)
Joel Koh En Wei, U. Raghavendra, Anjan Gudigar, Ooi Chui Ping, Filippo Molinari, Samarth Mishra, Sinnakaruppan Mathavan, Rajiv Raman, U. Rajendra Acharya
A novel hybrid approach for automated detection of retinal detachment using ultrasound images. Comput. Biol. Medicine 120 (2020)
Abhilash K. Pai, A. Kotegar Karunakar, U. Raghavendra
Scene-Independent Motion Pattern Segmentation in Crowded Video Scenes Using Spatio-Angular Density-Based Clustering. IEEE Access 8 (2020)
Shu Lih Oh, Yuki Hagiwara, U. Raghavendra, Yuvaraj Rajamanickam, Arunkumar N., M. Murugappan, U. Rajendra Acharya
A deep learning approach for Parkinson's disease diagnosis from EEG signals. Neural Comput. Appl. 32 (15) (2020)
Anjan Gudigar, U. Raghavendra, Edward J. Ciaccio, Arunkumar N., Enas W. Abdulhay, U. Rajendra Acharya
Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study. IEEE Access 7 (2019)
Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya
An efficient traffic sign recognition based on graph embedding features. Neural Comput. Appl. 31 (2) (2019)
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
Global weighted LBP based entropy features for the assessment of pulmonary hypertension. Pattern Recognit. Lett. 125 (2019)
U. Raghavendra, Anjan Gudigar, Sulatha V. Bhandary, Tejaswi N. Rao, Edward J. Ciaccio, U. Rajendra Acharya
A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images. J. Medical Syst. 43 (9) (2019)
Anjan Gudigar, U. Raghavendra, Ru San Tan, Edward J. Ciaccio, U. Rajendra Acharya
Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study. Future Gener. Comput. Syst. 90 (2019)
U. Raghavendra, Hamido Fujita, Sulatha V. Bhandary, Anjan Gudigar, Jen Hong Tan, U. Rajendra Acharya
Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images. Inf. Sci. 441 (2018)
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
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images. Comput. Biol. Medicine 95 (2018)
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
Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features. Comput. Methods Programs Biomed. 166 (2018)
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
Age-related Macular Degeneration detection using deep convolutional neural network. Future Gener. Comput. Syst. 87 (2018)
U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, Hamido Fujita, U. Rajendra Acharya
Automated Detection of Lung Nodules Using HOG Technique with Chest X-Ray Images. SoMeT (2018)
U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, U. Raghavendra, Jen Hong Tan, Muhammad Adam, Arkadiusz Gertych, Yuki Hagiwara
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network. Future Gener. Comput. Syst. 79 (2018)
U. Raghavendra, Hamido Fujita, Anjan Gudigar, Shetty Ranjan, Krishnananda Nayak, Pai Umesh, Jyothi Samanth, U. Rajendra Acharya
Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images. Biomed. Signal Process. Control. 40 (2018)
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
Use of Nonlinear Features for Automated Characterization of Suspicious Ovarian Tumors Using Ultrasound Images in Fuzzy Forest Framework. Int. J. Fuzzy Syst. 20 (4) (2018)
Filippo Molinari, U. Raghavendra, Anjan Gudigar, Kristen M. Meiburger, U. Rajendra Acharya
An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique. Medical Biol. Eng. Comput. 56 (9) (2018)
U. Raghavendra, N. Shyamasunder Bhat, Anjan Gudigar, U. Rajendra Acharya
Automated system for the detection of thoracolumbar fractures using a CNN architecture. Future Gener. Comput. Syst. 85 (2018)
U. Rajendra Acharya, Yuki Hagiwara, Joel E. W. Koh, Jen Hong Tan, Sulatha V. Bhandary, A. Krishna Rao, U. Raghavendra
Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features. J. Comput. Sci. 20 (2017)
Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya
Local texture patterns for traffic sign recognition using higher order spectra. Pattern Recognit. Lett. 94 (2017)
Hamido Fujita, U. Raghavendra, Anjan Gudigar, Vinoy Vishnu Vadakkepat, U. Rajendra Acharya
Automated Characterization of Breast Cancer Using Steerable Filters. SoMeT (2017)
Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya
Multiple thresholding and subspace based approach for detection and recognition of traffic sign. Multim. Tools Appl. 76 (5) (2017)
Abhilash K. Pai, A. Kotegar Karunakar, U. Raghavendra
A novel crowd density estimation technique using local binary pattern and Gabor features. AVSS (2017)
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
Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies. Comput. Biol. Medicine 84 (2017)
U. Raghavendra, U. Rajendra Acharya, Anjan Gudigar, Shetty Ranjan, Krishnananda Nayak, Pai Umesh, Jyothi Samanth, Chaithra Nayak
Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images. Neural Comput. Appl. 28 (10) (2017)
K. R. Akshatha, A. Kotegar Karunakar, H. Anitha, U. Raghavendra, Dinesh Shetty
Digital camera identification using PRNU: A feature based approach. Digit. Investig. 19 (2016)
Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra
A review on automatic detection and recognition of traffic sign. Multim. Tools Appl. 75 (1) (2016)
U. Raghavendra, U. Rajendra Acharya, Hamido Fujita, Anjan Gudigar, Jen Hong Tan, Shreesha Chokkadi
Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images. Appl. Soft Comput. 46 (2016)
U. Rajendra Acharya, Hamido Fujita, Shreya Bhat, U. Raghavendra, Anjan Gudigar, Filippo Molinari, Anushya Vijayananthan, Kwan Hoong Ng
Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images. Inf. Fusion 29 (2016)
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
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images. Comput. Biol. Medicine 79 (2016)
U. Raghavendra, Krishnamoorthi Makkithaya, A. Kotegar Karunakar
Anchor-diagonal-based shape adaptive local support region for efficient stereo matching. Signal Image Video Process. 9 (4) (2015)
U. Raghavendra, Krishnamoorthi Makkithaya, A. Kotegar Karunakar
Structural similarity-based ranking of stereo algorithms for dynamic adaptation in real-time robot navigation. Int. J. Comput. Vis. Robotics 4 (4) (2014)
U. Raghavendra, Krishnamoorthi Makkithaya, A. Kotegar Karunakar
Qualitative and Quantitative Evaluation of Correlation Based Stereo Matching Algorithms. ADCONS (2011)
Subarna Bhattacharjee, J. Bhattacharya, U. Raghavendra, Debashis Saha, Parimal Pal Chaudhuri
A VLSI architecture for cellular automata based parallel data compression. VLSI Design (1996)
Subarna Bhattacharjee, U. Raghavendra, Dipanwita Roy Chowdhury, Parimal Pal Chaudhuri
An efficient encoding algorithm for image compression hardware based on cellular automata. HiPC (1996)