| Deriving tumor detection models using convolutional neural networks from MRI of human brain scans T Kalaiselvi, ST Padmapriya, P Sriramakrishnan, K Somasundaram International Journal of Information Technology 12 (2), 403-408, 2020 | 95 | 2020 |
| Development of automatic glioma brain tumor detection system using deep convolutional neural networks T Kalaiselvi, T Padmapriya, P Sriramakrishnan, V Priyadharshini International Journal of Imaging Systems and Technology 30 (4), 926-938, 2020 | 35 | 2020 |
| An medical image file formats and digital image conversion P Sriramakrishnan, T Kalaiselvi, ST Padmapriya, N Shanthi, S Ramkumar, ... Int. J. Eng. Adv. Technol 9 (1S3), 74-78, 2019 | 20 | 2019 |
| Ethical data collection for medical image analysis: A structured approach ST Padmapriya, S Parthasarathy Asian Bioethics Review 16 (1), 95-108, 2024 | 19 | 2024 |
| Advancements of MRI-Based Brain Tumor Segmentation from Traditional to Recent Trends- A Review PT Sriramakrishnan P, Kalaiselvi T, Somasundaram K Current Medical Imaging, 2022 | 15 | 2022 |
| Multimodal Covid Networks: Multimodal Bespoke Convolutional Neural Network Architectures for COVID-19 Detection from Chest X-Ray's and CT Scans PV Padmapriya T, Kalaiselvi T International Journal of Imaging Systems and Technology, 2022 | 14 | 2022 |
| Brain tumor diagnostic system—a deep learning application T Kalaiselvi, ST Padmapriya Machine Vision Inspection Systems, Volume 2: Machine Learning‐Based …, 2021 | 14 | 2021 |
| E-Tanh: a novel activation function for image processing neural network models T Kalaiselvi, ST Padmapriya, K Somasundaram, S Praveenkumar Neural Computing and Applications 34 (19), 16563-16575, 2022 | 12 | 2022 |
| Multimodal MRI brain tumor segmentation—a ResNet-based U-Net approach T Kalaiselvi, ST Padmapriya Brain Tumor MRI Image Segmentation Using Deep Learning Techniques, 123-135, 2022 | 11 | 2022 |
| Understanding algorithm bias in artificial intelligence-enabled ERP software customization S Parthasarathy, ST Padmapriya Journal of Ethics in Entrepreneurship and Technology 3 (2), 79-93, 2023 | 7 | 2023 |
| Improving the prediction accuracy of mri brain tumor detection and segmentation S T Padmapriya, T Chandrakumar, T Kalaiselvi International Journal of Computing and Digital Systems 15 (1), 1-10, 2024 | 6 | 2024 |
| Novel artificial intelligence learning models for COVID-19 detection from X-ray and ct chest images ST Padmapriya, T Kalaiselvi, K Somasundaram, CN Kumar, ... International Journal of Computational Intelligence in Control 13 (2), 9-17, 2021 | 5 | 2021 |
| A deep learning approach for brain tumour detection system using convolutional neural networks T Kalaiselvi, ST Padmapriya, P Sriramakrishnan, K Somasundaram International Journal of Dynamical Systems and Differential Equations 11 (5 …, 2021 | 4 | 2021 |
| A role of medical imaging techniques in human brain tumor treatment P Sriramakrishnan, T Kalaiselvi, M Thirumalaiselvi, ST Padmapriya, ... International Journal of Recent Technology and Engineering 8, 565-568, 2019 | 4 | 2019 |
| Online Brain Image Repositories for Brain Disease Detection P Sriramakrishnan, T Kalaiselvi, ST Padmapriya, S Ramkumar, ... December, 2019 | 3 | 2019 |
| Trade-off between training and testing ratio in machine learning for medical image processing M Sivakumar, S Parthasarathy, T Padmapriya PeerJ Computer Science 10, e2245, 2024 | 2 | 2024 |
| A novel activation function for brain tumor segmentation using V-NET approach T Kalaiselvi, ST Padmapriya, K Somasundaram, R Vasanthi Journal of Scientific Research 66 (2), 156-162, 2022 | 1 | 2022 |
| Adaptive Learning Rate-Based Convolutional Neural Network Models for Brain Tumor Images Classification T Padmapriya | 1 | 2022 |
| Impact of federated learning and explainable artificial intelligence for medical image diagnosis STP M Sivakumar IAES International Journal of Artificial Intelligence (IJ-AI) 13 (4), 3772-3785, 2024 | | 2024 |
| A simplified approach for efficiency analysis of machine learning algorithms M Sivakumar, S Parthasarathy, T Padmapriya PeerJ Computer Science 10, e2418, 2024 | | 2024 |
T. KalaiselviFaculty, Gandhigram Rural InstituteZweryfikowany adres z ruraluniv.ac.in
