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Dr. S. T. Padmapriya
Dr. S. T. Padmapriya
Assistant Professor in Data Science, Department of Applied Mathematics and Computational Science
Verified email at tce.edu
Title
Cited by
Cited by
Year
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
772020
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
272020
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
152019
Brain tumor diagnostic system—a deep learning application
T Kalaiselvi, ST Padmapriya
Machine Vision Inspection Systems, Volume 2: Machine Learning‐Based …, 2021
122021
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
112022
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
92022
Ethical data collection for medical image analysis: a structured approach
ST Padmapriya, S Parthasarathy
Asian Bioethics Review 16 (1), 95-108, 2024
72024
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
72022
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
72022
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
52021
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
42021
Deep Learning-Driven Real-Time Multimodal Healthcare Data Synthesis
M Preetha, RR Budaraju, PSGA Sri, T Padmapriya
International Journal of Intelligent Systems and Applications in Engineering …, 2024
22024
A role of medical imaging techniques in human brain tumor treatment
P Sriramakrishnan, T Kalaiselvi, M Thirumalaiselvi, ST Padmapriya, ...
A role of medical imaging techniques in human brain tumor treatment 8, 2020
22020
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
12022
Adaptive Learning Rate-Based Convolutional Neural Network Models for Brain Tumor Images Classification
T Padmapriya
12022
Online Brain Image Repositories for Brain Disease Detection
P Sriramakrishnan, T Kalaiselvi, ST Padmapriya, S Ramkumar, ...
1
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
2024
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
2023
Effects of the Omicron Virus on People's Sentiment using Twitter Analytics
C Thangavel, ST Padmapriya, JB Kumar, A Karthick
International Journal of Computing and Digital Systems 14 (1), 1-xx, 2023
2023
Neural Network Optimizers for Brain Tumor Image Detection
STP T Kalaiselvi
Wiley, 2022
2022
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