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)

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)

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)

A review on automatic detection and recognition of traffic sign. - Anjan Gudigar; Shreesha Chokkadi; U. Raghavendra (Multim. Tools Appl., 2016)

Automated Characterization of Breast Cancer Using Steerable Filters. - Hamido Fujita; U. Raghavendra; Anjan Gudigar; Vinoy Vishnu Vadakkepat; U. Rajendra Acharya (SoMeT, 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)

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 Detection of Lung Nodules Using HOG Technique with Chest X-Ray Images. - U. Raghavendra; Anjan Gudigar; Tejaswi N. Rao; Hamido Fujita; U. Rajendra Acharya (SoMeT, 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)

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 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)

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)

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)

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)

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)

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)

An efficient traffic sign recognition based on graph embedding features. - Anjan Gudigar; Shreesha Chokkadi; U. Raghavendra; U. Rajendra Acharya (Neural Comput. Appl., 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 002; Jyothi Samanth; Umesh M. Pai; Vidya Nayak; Ru-San Tan; Edward J. Ciaccio; U. Rajendra Acharya (Pattern Recognit. Lett., 2019)

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)

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 002; U. Rajendra Acharya (Comput. Biol. Medicine, 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)

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)

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)

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; et al. (J. Ambient Intell. Humaniz. Comput., 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; et al. (Sensors, 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)

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)

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)

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)

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)

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)

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)

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 (OCIT, 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)

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)

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., 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., 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; et al. (Comput. Biol. Medicine, 2023)

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)

Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review. - 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 (IEEE Access, 2024)

A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology. - Massimo Salvi; Alessandro Mogetta; U. Raghavendra; Anjan Gudigar; U. Rajendra Acharya; Filippo Molinari (Appl. Soft Comput., 2024)

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023). - 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; et al. (Comput. Biol. Medicine, 2024)

A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification. - 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; et al. (IEEE Access, 2025)

MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals. - M. Maithri; U. Raghavendra; Anjan Gudigar; Samir Kumar Praharaj; Karthikeyan Sriram; Massimo Salvi; Chai Hong Yeong; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2025)

Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review. - Sreeni Chadalavada; Oliver Faust; Massimo Salvi; Silvia Seoni; Nawin Raj; U. Raghavendra; Anjan Gudigar; Prabal Datta Barua; Filippo Molinari; Udyavara Rajendra Acharya (Environ. Model. Softw., 2025)