| Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier B Abraham, MS Nair Biocybernetics and Biomedical Engineering 40 (4), 1436-1445, 2020 | 177 | 2020 |
| 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 … JL Gayathri, B Abraham, MS Sujarani, MS Nair Computers in Biology and Medicine 141, 105134, 2022 | 125 | 2022 |
| Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder B Abraham, MS Nair Computerized Medical Imaging and Graphics 69, 60-68, 2018 | 90 | 2018 |
| Automated grading of prostate cancer using convolutional neural network and ordinal class classifier B Abraham, MS Nair Informatics in Medicine Unlocked 17, 100256, 2019 | 59 | 2019 |
| Computer-aided diagnosis of clinically significant prostate cancer from MRI images using sparse autoencoder and random forest classifier B Abraham, MS Nair Biocybernetics and Biomedical Engineering 38 (3), 733-744, 2018 | 50 | 2018 |
| Computer-aided detection of COVID-19 from CT scans using an ensemble of CNNs and KSVM classifier B Abraham, MS Nair Signal, Image and Video Processing 16 (3), 587-594, 2022 | 26 | 2022 |
| Computer-aided grading of prostate cancer from MRI images using Convolutional Neural Networks B Abraham, MS Nair Journal of Intelligent & Fuzzy Systems 36 (3), 2015-2024, 2019 | 22 | 2019 |
| Prostate cancer prediction from multiple pretrained computer vision model J John, A Ravikumar, B Abraham Health and Technology 11, 1003-1011, 2021 | 17 | 2021 |
| A two-stage CNN model for the classification and severity analysis of retinal and choroidal diseases in OCT images N George, L Shine, N Ambily, B Abraham, S Ramachandran International Journal of Intelligent Networks 5, 10-18, 2024 | 9 | 2024 |
| Computer-Aided detection of tuberculosis from X-ray images using CNN and PatternNet classifier B Abraham, J Mohan, SM John, S Ramachandran Journal of X-Ray Science and Technology 31 (4), 699-711, 2023 | 5 | 2023 |
| An Efficient 3D CNN Framework with Attention Mechanisms for Alzheimer’s Disease Classification SR Athena George, Bejoy Abraham, Neetha George, Linu Shine Computer Systems Science and Engineering 47 (2), 2097-2118, 2023 | 4 | 2023 |
| On Computer-Aided Diagnosis of Prostate Cancer from MRI using Machine Intelligence Techniques B Abraham, MS Nair 2019 IEEE International Conference on Electrical, Computer and Communication …, 2019 | 4 | 2019 |
| A study on Retinopathy of Prematurity (ROP) Screening Using Deep Learning Approaches and a Blood Vessel Segmentation Framework for ROP Affected Eyes K Madhu, SM John, A Joseph, B Abraham 2024 Second International Conference on Emerging Trends in Information …, 2024 | 3 | 2024 |
| A Novel CNN Framework for the Detection of COVID-19 Using Manta Ray Optimization and KNN Classifier in LUS Images JL Gayathri, B Abraham, MS Sujarani, S Ramachandran International Journal of Intelligent Systems and Applications in Engineering …, 2023 | 3 | 2023 |
| A Novel Light Weight CNN Framework Integrated with Marine Predator Optimization for the Assessment of Tear Film-Lipid Layer Patterns Bejoy Abraham, Jesna Mohan, Linu Shine, Sivakumar Ramachandran Computer Modeling in Engineering & Sciences 1 (136), 87-106, 2023 | 1* | 2023 |
| A Curvature Based Approach for the Identification of Tortuous Blood Vessels in Retinal images of Preterm Infants U M S, B Abraham, S Ramachandran 2021 12th International Conference on Computing Communication and Networking …, 2021 | 1 | 2021 |
| A Computer-Aided Diagnosis System KP Abhijith, R Sarath, P Santhosh, J Mohan, B Abraham Intelligent Informatics: Proceedings of Eighth International Symposium on …, 2025 | | 2025 |
| Deep Learning-Based Anomaly Detection of ECG Signals for Telemedicine Applications BA Akhila N. S, Sabeena Beevi. K International Journal of Engineering Trends and Technology 72 (2), 163-177, 2024 | | 2024 |
| A Computer-Aided Diagnosis System for the Detection of Parkinson’s Disease KP Abhijith, R Sarath, P Santhosh, J Mohan, B Abraham International Symposium on Intelligent Informatics, 261-273, 2023 | | 2023 |
| Design and Modelling of a Glucose Optical Sensor for Diabetes Monitoring S Ramachandran, A Prakash, B Abraham, VG Biju International Journal of Intelligent Systems and Applications in Engineering …, 2023 | | 2023 |
Prof. (Dr.) Madhu S. NairProfessor, Dept. of Computer Science, Cochin University of Science and Technology, Kerala, India.Verified email at cusat.ac.in
