| Automated brain tumour segmentation techniques—a review M Angulakshmi, GG Lakshmi Priya International Journal of Imaging Systems and Technology 27 (1), 66-77, 2017 | 130 | 2017 |
| Brain tumour segmentation from MRI using superpixels based spectral clustering A Maruthamuthu Journal of King Saud University-Computer and Information Sciences 32 (10 …, 2020 | 86 | 2020 |
| Walsh Hadamard transform for simple linear iterative clustering (SLIC) superpixel based spectral clustering of multimodal MRI brain tumor segmentation M Angulakshmi, GGL Priya Irbm 40 (5), 253-262, 2019 | 33 | 2019 |
| A review on deep learning architecture and methods for MRI brain tumour segmentation M Angulakshmi, M Deepa Current Medical Imaging 17 (6), 695-706, 2021 | 29 | 2021 |
| An efficient hardware architecture based on an ensemble of deep learning models for COVID-19 prediction R Sakthivel, IS Thaseen, M Vanitha, M Deepa, M Angulakshmi, ... Sustainable Cities and Society 80, 103713, 2022 | 13 | 2022 |
| Automatic brain tumour segmentation of magnetic resonance images (MRI) based on region of interest (ROI) M Angulakshmi, GGL Priya Journal of Engineering Science and Technology, Taylor’s university 12 (4 …, 2017 | 10 | 2017 |
| Walsh Hadamard kernel‐based texture feature for multimodal MRI brain tumour segmentation M Angulakshmi, GG Lakshmi Priya International Journal of Imaging Systems and Technology 28 (4), 254-266, 2018 | 8 | 2018 |
| Bio-Inspired PSO for Improving Neural Based Diabetes Prediction System MZ Khan, R Mangayarkarasi, C Vanmathi, M Angulakshmi Journal of ICT Standardization 10 (2), 179-199, 2022 | 4 | 2022 |
| Association rule modeling using uml and apriori algorithm M Angulakshmi, M Deepa, S Sudha, K Brindha 2020 International Conference on Emerging Trends in Information Technology …, 2020 | 3 | 2020 |
| A comparative study on delay-tolerant network routing protocols M Angulakshmi, M Deepa, M Vanitha, R Mangayarkarasi, I Nagarajan International Journal of Intelligent Unmanned Systems 9 (4), 283-301, 2021 | 1 | 2021 |
| Intrusion Detection System using Random Forest R Mangayarkarasi, M Vanitha, R Subhashini, M Deepa, M Angulakshmi Solid State Technology, 9495-9511, 2020 | 1 | 2020 |
| Image Stenography Using Deep Learning Techniques M Angulakshmi, M Deepa Enhancing Steganography Through Deep Learning Approaches, 53-74, 2025 | | 2025 |
| An efficient iterative pseudo point elimination technique to represent the shape of the digital image boundary M Ramaiah, V Ravi, V Chandrasekaran, V Mohanraj, D Mani, ... Multimedia Tools and Applications 83 (38), 85899-85915, 2024 | | 2024 |
| An Optimized Deep Learning Technique for Detecting Lung Cancer from CT Images M Vanitha, R Mangayarkarasi, M Angulakshmi, M Deepa Current Applications of Deep Learning in Cancer Diagnostics, 47-58, 2023 | | 2023 |
| Brain tumour segmentation from MRI using superpixels based spectral clustering (vol 32, pg 1182, 2018) M Angulakshmi JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES 32 (10 …, 2020 | | 2020 |
| IMGCRYPTO-XOR Algorithm using MUSIC Theory for secure medical data storage in cloud S Senthilkumar, K Brindha, M Angulakshmi, M Deepa, M Gour, P Narwani 2020 International Conference on Emerging Trends in Information Technology …, 2020 | | 2020 |
| Health Care Arrangement System for Doctor-Patient Communications M Angulakshmi, S Senthilkumar, K Brindha Indian Journal of Public Health Research & Development 10 (6), 310-315, 2019 | | 2019 |
| Computer and Information Sciences M Angulakshmi, LP GG | | 2018 |
| Attendance Posting Through Face Recognition M Angulakshmi, M Deepa, S Sudha, K Brindha, R Rathi | | |
| Efficient Global Programming Model for Discriminant Analysis M ANGULAKSHMI | | |
