| Segmentation and Classification of MRI Brain Tumor URK Mukambika P. S. International Research Journal of Engineering and Technology (IRJET) 4 (7 …, 2017 | 32 | 2017 |
| Automatic detection of neurological disordered voices using mel cepstral coefficients and neural networks MS Holi 2013 IEEE Point-of-Care Healthcare Technologies (PHT), 76-79, 2013 | 25 | 2013 |
| Analysis of speech characteristics of neurological diseases and their classification KU Rani, MS Holi 2012 Third International Conference on Computing, Communication and …, 2012 | 23 | 2012 |
| Pathological Voice Analysis To Detect Neurological Disorders Using MFCC & SVM CMVK Umarani International Journal of Advanced Electrical and Electronics Engineering 2 …, 2013 | 18 | 2013 |
| Phoneme independent pathological voice detection using wavelet based MFCCs, GMM-SVM hybrid classifier CM Vikram, K Umarani 2013 International Conference on Advances in Computing, Communications and …, 2013 | 16 | 2013 |
| A hybrid model for neurological disordered voice classification using time and frequency domain features. K Uma Rani, MS Holi Artif. Intell. Res. 5 (1), 87-94, 2016 | 11 | 2016 |
| Disordered voice classification using SVM and feature selection using GA S Firdos, K Umarani 2016 Second International Conference on Cognitive Computing and Information …, 2016 | 9 | 2016 |
| Analysis of EMG Signal to Evaluate Muscle Strength and Classification KKU Rani K International Research Journal of Engineering and Technology (IRJET) 4 (7 …, 2017 | 8 | 2017 |
| A comparative study of neural networks and support vector machines for neurological disordered voice classification KU Rani, MS Holi Inter. J. Eng. Res. Techol 3, 2014 | 8 | 2014 |
| GMM classifier for identification of neurological disordered voices using MFCC features KU Rani, MS Holi IOSR Journal of VLSI and Signal Processing 4, 44-51, 2015 | 5 | 2015 |
| Wavelet Transform Features to Hybrid Classifier for Detection of Neurological-Disordered Voices URKMS Holi Journal of Clinical Engineering 42 (2), 89-98, 2017 | 4 | 2017 |
| Reduction of noise in EEG signal using Faraday’s cage and wavelet transform: A comparative study NFKU Rani International journal of engineering science and computing 6 (7), 8566-8569, 2016 | 4 | 2016 |
| Text independent classification of normal and pathological voices using MFCCs and GMM-UBM CM Vikram, K Umarani 2013 IEEE Conference on Information & Communication Technologies, 1215-1220, 2013 | 4 | 2013 |
| Parkinson’s Disease Detection using SPECT Images and Artificial Neural Network for Classification TS Nalini, MU Anusha, K Umarani International Journal of Engineering Research & Technology (IJERT) IETE 8 (11), 2020 | 3 | 2020 |
| Binary Classification of Alzheimer's diease using MRI images and Support Vector Machine VBC Uma Rani K, Sharvari S, Umesh M G 2021 IEEE Mysore Sub Section International Conference (MysuruCon), 2021 | | 2021 |
| Parkinson’s Disease Detection using SPECT Images and Artificial Neural Network for Classification KUR Nalini T S, Anusha M U International Journal of Engineering research and Technology 8 (11), 105-108, 2020 | | 2020 |
| Parkinson’s Disease Detection using SPECT Images and Artificial Neural Network for Classification Nalini T S, Anusha M U, Uma rani K International Journal of Engineering research and Technology 8 (11), 2020 | | 2020 |
| Ventricular Arrhythmia Classification By Neural Network Classifier Using Wavelet Transform Features KUR Pannaga P. Kowshik 2nd ASAR INTERNATIONAL CONFERENCE, 12-16, 2015 | | 2015 |
| Neurological Disorder Detection Using Acoustic Features and SVM Classifier K Uma Rani, MS Holi American Journal of Biomedical Science and Engineering 1 (5), 71-81, 2015 | | 2015 |
| Acoustic Analysis of Nasal and Oral Speech of Normal versus Cleft Lip and Palate AN Umarani K International Journal for Scientific Research & Development 3 (5), 327-331, 2015 | | 2015 |
