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Soft Computing|April 25, 2022
A deep neural network for the classification of epileptic seizures using hierarchical attention mechanismSateesh Kumar Reddy Chirasani, Suchetha ManikandanSoft Computing|January 23, 2025
Retraction Note: A deep neural network for the classification of epileptic seizures using hierarchical attention mechanismSateesh Kumar Reddy Chirasani, Suchetha ManikandanScientific Reports|May 27, 2026
An enhanced hypergraph CNN with adaptive focal loss for automated ECG heartbeat classificationAkash Vijayan, Suchetha Manikandan, Deepak JoshiIndian Journal of Ophthalmology|May 19, 2023
Deep learning-based detection of diabetic macular edema using optical coherence tomography and fundus images: A meta-analysisSuchetha Manikandan, Rajiv Raman, Ramachandran Rajalakshmi, et al.Frontiers in Artificial Intelligence|April 6, 2026
HASPNet: a hierarchically attentive signal-preserving network for papaya leaf disease classification with explainable deep learningM Sundara Srivathsan, Suchetha Manikandan, S Preethi, et al.Seminars in Ophthalmology|November 24, 2024
Leveraging Artificial Intelligence for Diabetic Retinopathy Screening and Management: History and Current AdvancesRamachandran Rajalakshmi, Thyparambil Aravindakshan PramodKumar, Abdul Subhan Naziyagulnaaz, et al.Current Drug Metabolism|July 6, 2023
Computational Structural Validation of <i>CYP2C9</i> Mutations and Evaluation of Machine Learning Algorithms in Predicting the Therapeutic Outcomes of WarfarinKannan Sridharan, Thirumal Kumar D, Suchetha Manikandan, et al.Scientific Reports|March 6, 2025
Creating a retinal image database to develop an automated screening tool for diabetic retinopathy in IndiaRamachandran Rajalakshmi, Thyparambil Aravindakshan PramodKumar, Ashis Kumar Dhara, et al.Pageof 1