Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder. - Bejoy Abraham; Madhu S. Nair (Comput. Medical Imaging Graph., 2018)

Computer-aided grading of prostate cancer from MRI images using Convolutional Neural Networks. - Bejoy Abraham; Madhu S. Nair (J. Intell. Fuzzy Syst., 2019)

A Deep Learning Framework for the Classification of Lung Diseases Using Chest X-Ray Images. - M. Vyshnavi; Bejoy Abraham; Sivakumar Ramachandran (CVIP (1), 2021)

A Curvature Based Approach for the Identification of Tortuous Blood Vessels in Retinal images of Preterm Infants. - Unnikrishnan M. S; Bejoy Abraham; Sivakumar Ramachandran (ICCCNT, 2021)

A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse autoencoder and feed forward neural network. - Gayathri J. L.; Bejoy Abraham; Sujarani M. S.; Madhu S. Nair (Comput. Biol. Medicine, 2022)

Computer-aided detection of COVID-19 from CT scans using an ensemble of CNNs and KSVM classifier. - Bejoy Abraham; Madhu S. Nair (Signal Image Video Process., 2022)

An Efficient 3D CNN Framework with Attention Mechanisms for Alzheimer's Disease Classification. - Athena George; Bejoy Abraham; Neetha George; Linu Shine; Sivakumar Ramachandran (Comput. Syst. Sci. Eng., 2023)

A two-stage CNN model for the classification and severity analysis of retinal and choroidal diseases in OCT images. - Neetha George; Linu Shine; Ambily N; Bejoy Abraham; Sivakumar Ramachandran (Int. J. Intell. Networks, 2024)