| Supervised machine learning based gait classification system for early detection and stage classification of Parkinson’s disease E Balaji, D Brindha, R Balakrishnan Applied Soft Computing 94, 106494, 2020 | 99 | 2020 |
| Automatic and non-invasive Parkinson’s disease diagnosis and severity rating using LSTM network E Balaji, D Brindha, VK Elumalai, R Vikrama Applied Soft Computing 108, 107463, 2021 | 94 | 2021 |
| Data-driven gait analysis for diagnosis and severity rating of Parkinson’s disease E Balaji, D Brindha, VK Elumalai, K Umesh Medical Engineering & Physics 91, 54-64, 2021 | 52 | 2021 |
| A review on various methods for recognition of urine particles using digital microscopic images of urine sediments K Suhail, D Brindha Biomedical Signal Processing and Control 68, 102806, 2021 | 24 | 2021 |
| Microscopic urinary particle detection by different YOLOv5 models with evolutionary genetic algorithm based hyperparameter optimization K Suhail, D Brindha Computers in Biology and Medicine 169, 107895, 2024 | 9 | 2024 |
| Abnormality detection and severity classification of cells based on features extracted from papanicolaou smear images using machine learning R Abhinaav, D Brindha 2019 International Conference on Computer Communication and Informatics …, 2019 | 6 | 2019 |
| Digital image analysis of uterine ultrasound for classification of uterine Myoma and Adenomyoma D Brindha, A Kandaswamy, C LakshmiDeepika Journal of Medical Imaging and Health Informatics 5 (8), 1603-1606, 2015 | 2 | 2015 |
| Gait Analysis for Severity Rating of Parkinson’s Disease Using Machine Learning and Deep Learning Algorithms E Balaji, D Brindha Anna University, 2021 | 1 | 2021 |
| Design of Non-invasive Multi-Parameter Pain Monitoring System CL deepika, D Brindha Journal of Scientific & Industrial Research 74, 330-333, 2015 | 1 | 2015 |
| Data-Driven Approaches to Assess Acute Pain Intensity Using Physiological and Behavioural Data S Saranya Devi, D Brindha Anna University, 2022 | | 2022 |
| Computer Aided Screening Of Cervical Cancer From Pap Smear Microscopic Images D Brindha, M Gauthaam Proceedings of the First International Conference on Combinatorial and …, 2021 | | 2021 |
| Computer Aided Diagnosis of Tuberculosis From Microscopic Images D Brindha, C LakshmiDeepika, K Bohra National Journal of Technology 14 (1), 31-37, 2018 | | 2018 |
| Certain Investigations on Texture Analysis of Ultrasound Uterine Image for Characterisation of Uterine for Characterisation of Uterine Leiomyomas and Adenomyosis D Brindha, A Kandaswamy Anna University, 2016 | | 2016 |
| Classification of uterine fibroid from ultrasound images using wavelet transform D Brindha, A Kandaswamy, CL Deepika NISCAIR-CSIR, India, 2015 | | 2015 |
| Comparitive Study of Uterine Cyst Characterisation Using Glcm and Wavelet Transform D Brindha, A Kandaswamy, S Subbashini International Journal of Computer Science and Information Technologies 6 (3 …, 2015 | | 2015 |
| Adaptive channel equalization techniques for biomedical signal transmission LPD Brindha National Journal of Technology 8 (3), 26-31, 2012 | | 2012 |
| Consonant Enhancement of Dysarthric Speech to Enhance Intelligibility DLM Sarah Anita, Brindha, Ajish K Abraham NCBME2007, 2007 | | 2007 |
| Automated Classification of Microscopic Urinary Particles by using Deep Learning methods based on EfficientNet Algorithm K Suhail, D Brindha, P Niyas | | |
