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ORCIDU. Raghavendra
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2020 – today
- 2025
[j53]Mahesh Anil Inamdar
, Anjan Gudigar, U. Raghavendra, Massimo Salvi, Raja Rizal Azman Bin Raja Aman, Nadia Fareeda Muhammad Gowdh, Izzah Amirah Binti Mohd Ahir, Mohd Salahuddin Bin Kamaruddin, Khairul Azmi Abdul Kadir, Filippo Molinari, Ajay Hegde, Girish R. Menon, U. Rajendra Acharya:
A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification. IEEE Access 13: 46638-46658 (2025)- [j52]Sreeni Chadalavada, Oliver Faust, Massimo Salvi, Silvia Seoni, Nawin Raj, U. Raghavendra, Anjan Gudigar, Prabal Datta Barua, Filippo Molinari, Udyavara Rajendra Acharya:
Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review. Environ. Model. Softw. 185: 106312 (2025) - 2024
- [j51]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: 3659-3671 (2024) - [j50]Anjan Gudigar, U. Raghavendra, M. Maithri, Jyothi Samanth, Mahesh Anil Inamdar, Vidhya V., Jahmunah Vicnesh, Mukund A. Prabhu, Ru San Tan, Chai Hong Yeong, Filippo Molinari, U. Rajendra Acharya:
Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review. IEEE Access 12: 138399-138428 (2024) - [j49]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: 112081 (2024) - [j48]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: 108207 (2024) - 2023
- [j47]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: 108982-108994 (2023) - [j46]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: 141309-141328 (2023) - [j45]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: 107063 (2023) - [j44]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) - [j43]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): 483-494 (2023) - [j42]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): 557-567 (2023) - [c7]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: 249-253 - 2022
- [j41]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: 106646 (2022) - [j40]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): 8 (2022) - [j39]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): 501-516 (2022) - [j38]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): 4 (2022) - [j37]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): 34 (2022) - [j36]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): 102 (2022) - 2021
- [j35]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: 102733 (2021) - [j34]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) - [j33]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): 2121-2129 (2021) - [j32]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): 8045 (2021) - [j31]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): 8507 (2021) - 2020
- [j30]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: 145984-145994 (2020) - [j29]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: 229043-229051 (2020) - [j28]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: 103704 (2020) - [j27]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: 105205 (2020) - [j26]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): 10927-10933 (2020)
2010 – 2019
- 2019
- [j25]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: 28498-28509 (2019) - [j24]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: 359-367 (2019) - [j23]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): 299:1-299:9 (2019) - [j22]Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya:
An efficient traffic sign recognition based on graph embedding features. Neural Comput. Appl. 31(2): 395-407 (2019) - [j21]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: 35-41 (2019) - 2018
- [j20]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: 324-334 (2018) - [j19]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: 55-62 (2018) - [j18]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: 91-98 (2018) - [j17]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: 952-959 (2018) - [j16]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: 184-189 (2018) - [j15]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: 127-135 (2018) - [j14]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): 1385-1402 (2018) - [j13]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: 41-49 (2018) - [j12]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): 1579-1593 (2018) - [c6]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: 1018-1026 - 2017
- [j11]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: 89-97 (2017) - [j10]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: 41-51 (2017) - [j9]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): 6973-6991 (2017) - [j8]Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, U. Rajendra Acharya:
Local texture patterns for traffic sign recognition using higher order spectra. Pattern Recognit. Lett. 94: 202-210 (2017) - [c5]Abhilash K. Pai, A. Kotegar Karunakar, U. Raghavendra:
A novel crowd density estimation technique using local binary pattern and Gabor features. AVSS 2017: 1-6 - [c4]Hamido Fujita, U. Raghavendra, Anjan Gudigar, Vinoy Vishnu Vadakkepat, U. Rajendra Acharya:
Automated Characterization of Breast Cancer Using Steerable Filters. SoMeT 2017: 321-327 - 2016
- [j7]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: 151-161 (2016) - [j6]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: 250-258 (2016) - [j5]K. R. Akshatha, A. Kotegar Karunakar, H. Anitha, U. Raghavendra, Dinesh Shetty:
Digital camera identification using PRNU: A feature based approach. Digit. Investig. 19: 69-77 (2016) - [j4]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: 32-39 (2016) - [j3]Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra:
A review on automatic detection and recognition of traffic sign. Multim. Tools Appl. 75(1): 333-364 (2016) - 2015
- [j2]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): 893-901 (2015) - 2014
- [j1]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): 281-293 (2014) - 2011
- [c3]U. Raghavendra, Krishnamoorthi Makkithaya, A. Kotegar Karunakar:
Qualitative and Quantitative Evaluation of Correlation Based Stereo Matching Algorithms. ADCONS 2011: 244-252
1990 – 1999
- 1996
- [c2]Subarna Bhattacharjee, U. Raghavendra, Dipanwita Roy Chowdhury, Parimal Pal Chaudhuri:
An efficient encoding algorithm for image compression hardware based on cellular automata. HiPC 1996: 239-244 - [c1]Subarna Bhattacharjee, J. Bhattacharya, U. Raghavendra, Debashis Saha, Parimal Pal Chaudhuri:
A VLSI architecture for cellular automata based parallel data compression. VLSI Design 1996: 270-275
Coauthor Index
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last updated on 2025-06-02 02:44 CEST by the dblp team
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