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ORCIDM. Suchetha 0001
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- affiliation: Vellore Institute of Technology (VIT), Centre for Healthcare Advancements, Innovation and Research, Chennai Campus, India
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Journal Articles
- 2025
[j25]Tamilselvi S.
, M. Suchetha, Rajiv Raman:
Leveraging ResNet50 With Swin Attention for Accurate Detection of OCT Biomarkers Using Fundus Images. IEEE Access 13: 35203-35218 (2025)- [j24]Edwin Dhas D, M. Suchetha, Ki H. Chon, Ziani Said:
Adjacent Channel Weight Dependable RLS Adaptive Filter With VMD Based Artifact Removal Mechanism in Fetal ECG Separation. IEEE J. Biomed. Health Informatics 29(5): 3427-3438 (2025) - 2024
- [j23]V. S. S. Bala Tripura Sathvika, Nagilla Anmisha, Vada Thanmayi, M. Suchetha, Edwin Dhas D, S. Sehastrajit, Sathyanarayanan N. Aakur:
Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture Features. IEEE Access 12: 57366-57380 (2024) - [j22]Serena Sunkari, Ashish Sangam, Venkata Sreeram P., M. Suchetha, Rajiv Raman, Ramachandran Rajalakshmi, Tamilselvi S.:
A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification. Biomed. Signal Process. Control. 88(Part A): 105630 (2024) - [j21]Edwin Dhas D, Suchetha Manikandan:
Weight optimized fixed and variable step-size adaptive filters for fetal ECG extraction. Biomed. Signal Process. Control. 98: 106733 (2024) - [j20]Snehith Sankineni, Aanchal Saraswat, M. Suchetha, Sathyanarayanan N. Aakur, S. Sehastrajit, Edwin Dhas D:
An insight on recent advancements and future perspectives in detection techniques of Parkinson's disease. Evol. Intell. 17(3): 1715-1731 (2024) - 2023
- [j19]Joseph Antony, M. Suchetha:
Surrounding Vehicle Motion Prediction in Non-Lane-Based Environments for ADAS Enhancement. IEEE Access 11: 120805-120815 (2023) - [j18]S. Hari Krishnan, Charen Vishwa, M. Suchetha, Akshay Raman, Rajiv Raman, S. Sehastrajit, Edwin Dhas D:
Comparative performance of deep learning architectures in classification of diabetic retinopathy. Int. J. Ad Hoc Ubiquitous Comput. 44(1): 23-35 (2023) - [j17]Sateesh Kumar Reddy Chirasani, M. Suchetha:
A 1-D CNN-FCM model for the classification of epileptic seizure disorders. Neural Comput. Appl. 35(24): 17871-17881 (2023) - [j16]Edwin Dhas D, M. Suchetha:
Energy-Dependent RLS Architecture for the Separation of Fetal ECG Using Thoracic and Abdominal Lead ECG of Mother. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [j15]Nada Y. Philip, Manzoor Razaak, John Chang, Suchetha Manikandan, Maurice O'Kane, Barbara K. Pierscionek:
A Data Analytics Suite for Exploratory Predictive, and Visual Analysis of Type 2 Diabetes. IEEE Access 10: 13460-13471 (2022) - [j14]Edwin Dhas D, M. Suchetha:
Dual phase dependent RLS filtering approach for baseline wander removal in ECG signal acquisition. Biomed. Signal Process. Control. 77: 103767 (2022) - [j13]Sateesh Kumar Reddy Chirasani, Suchetha Manikandan:
An optimised machine learning algorithm for classification of epileptic seizures using EMD-based dynamic features of EEG. Int. J. Ad Hoc Ubiquitous Comput. 40(1/2/3): 127-138 (2022) - [j12]A. Smruthy, M. Suchetha:
A novel optimised apnea classification with AA-CNN method by utilising the EDR and ECG features. Int. J. Ad Hoc Ubiquitous Comput. 41(1): 58-67 (2022) - [j11]Edwin Dhas D, M. Suchetha:
Extraction of Fetal ECG From Abdominal and Thorax ECG Using a Non-Causal Adaptive Filter Architecture. IEEE Trans. Biomed. Circuits Syst. 16(5): 981-990 (2022) - 2021
- [j10]Suchetha Manikandan, Madhumitha R., Sorna Meena M., Sruthi R.:
Sequential Convolutional Neural Networks for classification of cognitive tasks from EEG signals. Appl. Soft Comput. 111: 107664 (2021) - [j9]Sraddha Das, Krity Kharbanda, M. Suchetha, Rajiv Raman, Edwin Dhas D:
Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy. Biomed. Signal Process. Control. 68: 102600 (2021) - [j8]M. Suchetha, N. Sai Ganesh, Rajiv Raman, Edwin Dhas D:
Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN. Soft Comput. 25(24): 15255-15268 (2021) - 2020
- [j7]Bhaskar Navaneeth, M. Suchetha:
A dynamic pooling based convolutional neural network approach to detect chronic kidney disease. Biomed. Signal Process. Control. 62: 102068 (2020) - [j6]Bhaskar Navaneeth, M. Suchetha:
Analysis of salivary components as non-invasive biomarkers for monitoring chronic kidney disease. Int. J. Medical Eng. Informatics 12(2): 95-107 (2020) - 2019
- [j5]Bhaskar Navaneeth, M. Suchetha:
PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications. Comput. Biol. Medicine 108: 85-92 (2019) - 2018
- [j4]Srinivasan Lekha, Suchetha Manikandan:
Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network. IEEE J. Biomed. Health Informatics 22(5): 1630-1636 (2018) - 2017
- [j3]Srinivasan Lekha, Suchetha Manikandan:
Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non-invasive diabetes detection. IET Circuits Devices Syst. 11(6): 682-687 (2017) - 2013
- [j2]M. Suchetha, Natesan Kumaravel:
Empirical mode decomposition based filtering techniques for power line interference reduction in electrocardiogram using various adaptive structures and subtraction methods. Biomed. Signal Process. Control. 8(6): 575-585 (2013) - [j1]M. Suchetha, Natesan Kumaravel:
Classification of Arrhythmia in Electrocardiogram using EMD Based Features and Support Vector Machine with Margin Sampling. Int. J. Comput. Intell. Appl. 12(3) (2013)
Coauthor Index
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