| Automatic detection of Alzheimer's disease using deep learning models and neuro-imaging: current trends and future perspectives T Illakiya, R Karthik Neuroinformatics 21 (2), 339-364, 2023 | 42 | 2023 |
| AHANet: Adaptive hybrid attention network for Alzheimer’s disease classification using brain magnetic resonance imaging T Illakiya, K Ramamurthy, MV Siddharth, R Mishra, A Udainiya Bioengineering 10 (6), 714, 2023 | 36 | 2023 |
| Performance analysis of machine learning and deep learning models for classification of Alzheimer’s disease from brain MRI I Thayumanasamy, K Ramamurthy Traitement du Signal 39 (6), 1961, 2022 | 17 | 2022 |
| A Dimension Centric Proximate Attention Network and Swin Transformer for Age-Based Classification of Mild Cognitive Impairment From Brain MRI T Illakiya, R Karthik IEEE Access 11, 128018-128031, 2023 | 13 | 2023 |
| E-voting system using biometric testament and cloud storage T Illakiya, S Karthikeyan, UM Velayutham, NTR Devan 2017 Third International Conference on Science Technology Engineering …, 2017 | 9 | 2017 |
| A deep feature fusion network with global context and cross-dimensional dependencies for classification of mild cognitive impairment from brain MRI T Illakiya, R Karthik, Alzheimer's Disease Neuroimaging Initiative Image and Vision Computing 144, 104967, 2024 | 7 | 2024 |
| Integration of localized, contextual, and hierarchical features in deep learning for improved skin lesion classification K Ramamurthy, I Thayumanaswamy, M Radhakrishnan, D Won, ... Diagnostics 14 (13), 1338, 2024 | 4 | 2024 |
| Improved genetic operators to handle uncertainty in medical image classification T Illakiya Int J Adv Comp Technol, 50-3, 2013 | 2 | 2013 |
| A Deep Learning Approach for Crop Disease and Pest Classification using Swin Transformer and Dual-Attention Multi-scale Fusion Network R Karthik, A Ajay, AS Bisht, T Illakiya, K Suganthi IEEE Access, 2024 | 1 | 2024 |
| Automated Diagnosis of COVID‐19 Using Reinforced Lung Segmentation and Classification Model JS Duela, T Illakiya Machine Learning for Healthcare Applications, 309-322, 2021 | | 2021 |
| Diagnosis of lung disorder using immune genetic algorithm and fuzzy logic to handle incertitude [articol] O Pandithurai, T Illakiya, V Swetha Timișoara: Editura Politehnica, 2020 | | 2020 |
| A Fuzzy Rough Set Theory based Feature Selection for Phishing Attack Classification KKAT T. Illakiya, Ajay Rana Journal of Advanced Research in Dynamical and Control Systems 12 (4), 298-306, 2020 | | 2020 |
| Smart Water Leakage Prevention System Using Wireless Sensors DS J.Shiny Duela, T.Illakiya Journal of Green Engineering (JGE) 10 (7), 3768–3787, 2020 | | 2020 |
| Unambiguous segmentation on computed tomography images using Bezier curve fitting algorithm I T International Journal of Advanced Research Trends in Engineering and …, 2017 | | 2017 |
| Minimization of Makespan Using Inverse Branch and Bound Heuristics illakiya T Middle-East Journal of Scientific Research 24 (11), 3469-3474, 2016 | | 2016 |
| Diagnosis of Lung Disorder Using Immune Genetic Algorithm and Fuzzy logic to Handle Incertitude O Pandithurai, T Illakiya, V Swetha | | |
