Multifactorial Disease Detection Using Regressive Multi-Array Deep Neural Classifier. - D. Venugopal; T. Jayasankar; N. Krishnaraj 001; S. Venkatraman 001; N. B. Prakash 001; G. R. Hemalakshmi (Intell. Autom. Soft Comput., 2021)

Classification of retinal fundus image using MS-DRLBP features and CNN-RBF classifier. - G. R. Hemalakshmi; D. Santhi; V. R. S. Mani; A. Geetha; N. B. Prakash 001 (J. Ambient Intell. Humaniz. Comput., 2021)

Adaptive Multimodal Image Fusion with a Deep Pyramidal Residual Learning Network. - Kiranmai Bellam; N. Krishnaraj 001; T. Jayasankar; N. B. Prakash 001; G. R. Hemalakshmi (J. Medical Imaging Health Informatics, 2021)

Accurate Hotspot Segmentation in Thermal Breast Images with Gaussian Mixture Model Superpixels. - Mohamed Yacin Sikkandar; Natteri M. Sudharsan; Santhanaraj Balakirshnan; N. B. Prakash 001; G. R. Hemalakshmi; A. Mohanarathinam (J. Medical Imaging Health Informatics, 2021)

IoT enabled cancer prediction system to enhance the authentication and security using cloud computing. - M. Anuradha; T. Jayasankar; N. B. Prakash 001; Mohamed Yacin Sikkandar; G. R. Hemalakshmi; C. Bharatiraja; A. Sagai Francis Britto (Microprocess. Microsystems, 2021)

Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images. - G. R. Hemalakshmi; M. Murugappan; Mohamed Yacin Sikkandar; Sabarunisha Begum Sheik; N. B. Prakash 001 (Neural Comput. Appl., 2024)

Facial Emotion Recognition for Feature Extraction and Ensemble Learning Using Hierarchical Cascade Regression Neural Networks and Random Forest. - S. Subathradevi; T. Preethiya; D. Santhi; G. R. Hemalakshmi (J. Circuits Syst. Comput., 2024)

Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection. - A. M. Mutawa; G. R. Hemalakshmi; N. B. Prakash 001; M. Murugappan (IEEE Access, 2025)