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Muthu Rama Krishnan Mookiah
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2020 – today
- 2021
- [j28]Muthu Rama Krishnan Mookiah
, Stephen Hogg, Thomas J. MacGillivray
On the quantitative effects of compression of retinal fundus images on morphometric vascular measurements in VAMPIRE. Comput. Methods Programs Biomed. 202: 105969 (2021) - [j27]Muthu Rama Krishnan Mookiah
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification. Medical Image Anal. 68: 101905 (2021)
2010 – 2019
- 2018
- [c3]Muthu Rama Krishnan Mookiah
Towards Standardization of Retinal Vascular Measurements: On the Effect of Image Centering. COMPAY/OMIA@MICCAI 2018: 294-302 - 2017
- [j26]U. Rajendra Acharya
Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals. Biomed. Signal Process. Control. 31: 31-43 (2017) - [j25]U. Rajendra Acharya
Automated diabetic macular edema (DME) grading system using DWT, DCT Features and maculopathy index. Comput. Biol. Medicine 84: 59-68 (2017) - 2016
- [j24]K. Vidya Sudarshan, Muthu Rama Krishnan Mookiah
Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review. Comput. Biol. Medicine 69: 97-111 (2016) - [j23]U. Rajendra Acharya
Novel risk index for the identification of age-related macular degeneration using radon transform and DWT features. Comput. Biol. Medicine 73: 131-140 (2016) - [j22]U. Rajendra Acharya
Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index. Comput. Biol. Medicine 75: 54-62 (2016) - [j21]U. Rajendra Acharya
An integrated index for identification of fatty liver disease using radon transform and discrete cosine transform features in ultrasound images. Inf. Fusion 31: 43-53 (2016) - 2015
- [j20]Muthu Rama Krishnan Mookiah
Local configuration pattern features for age-related macular degeneration characterization and classification. Comput. Biol. Medicine 63: 208-218 (2015) - [j19]Muthu Rama Krishnan Mookiah
Application of different imaging modalities for diagnosis of Diabetic Macular Edema: A review. Comput. Biol. Medicine 66: 295-315 (2015) - [j18]Muthu Rama Krishnan Mookiah
Automated detection of age-related macular degeneration using empirical mode decomposition. Knowl. Based Syst. 89: 654-668 (2015) - [j17]Muthu Rama Krishnan Mookiah
Application of higher-order spectra for automated grading of diabetic maculopathy. Medical Biol. Eng. Comput. 53(12): 1319-1331 (2015) - 2014
- [j16]Muthu Rama Krishnan Mookiah
Automated diagnosis of Age-related Macular Degeneration using greyscale features from digital fundus images. Comput. Biol. Medicine 53: 55-64 (2014) - [j15]Muthu Rama Krishnan Mookiah
Decision support system for age-related macular degeneration using discrete wavelet transform. Medical Biol. Eng. Comput. 52(9): 781-796 (2014) - 2013
- [j14]Muthu Rama Krishnan Mookiah
Computer-aided diagnosis of diabetic retinopathy: A review. Comput. Biol. Medicine 43(12): 2136-2155 (2013) - [j13]Pradeep Chowriappa, Sumeet Dua, U. Rajendra Acharya
Ensemble selection for feature-based classification of diabetic maculopathy images. Comput. Biol. Medicine 43(12): 2156-2162 (2013) - [j12]U. Rajendra Acharya
Automated classification of patients with coronary artery disease using grayscale features from left ventricle echocardiographic images. Comput. Methods Programs Biomed. 112(3): 624-632 (2013) - [j11]U. Rajendra Acharya
Automated Diagnosis of epilepsy using CWT, HOS and Texture parameters. Int. J. Neural Syst. 23(3) (2013) - [j10]Muthu Rama Krishnan Mookiah
Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach. Knowl. Based Syst. 39: 9-22 (2013) - [j9]U. Rajendra Acharya
Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment. Medical Biol. Eng. Comput. 51(5): 513-523 (2013) - [j8]U. Rajendra Acharya
Plaque Tissue Characterization and Classification in Ultrasound Carotid Scans: A Paradigm for Vascular Feature Amalgamation. IEEE Trans. Instrum. Meas. 62(2): 392-400 (2013) - 2012
- [j7]M. Muthu Rama Krishnan
Hybrid segmentation, characterization and classification of basal cell nuclei from histopathological images of normal oral mucosa and oral submucous fibrosis. Expert Syst. Appl. 39(1): 1062-1077 (2012) - [j6]Roshan Joy Martis, M. Muthu Rama Krishnan, Chandan Chakraborty, Sarbajit Pal, Debranjan Sarkar, K. M. Mandana, Ajoy Kumar Ray:
Automated Screening of Arrhythmia Using Wavelet Based Machine Learning Techniques. J. Medical Syst. 36(2): 677-688 (2012) - [j5]M. Muthu Rama Krishnan, Pratik Shah, Chandan Chakraborty, Ajoy Kumar Ray:
Statistical Analysis of Textural Features for Improved Classification of Oral Histopathological Images. J. Medical Syst. 36(2): 865-881 (2012) - [j4]M. Muthu Rama Krishnan, Mousumi Pal
Computer Vision Approach to Morphometric Feature Analysis of Basal Cell Nuclei for Evaluating Malignant Potentiality of Oral Submucous Fibrosis. J. Medical Syst. 36(3): 1745-1756 (2012) - [j3]Muthu Rama Krishnan Mookiah
Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features. Knowl. Based Syst. 33: 73-82 (2012) - [c2]M. Muthu Rama Krishnan, U. Rajendra Acharya
Application of intuitionistic fuzzy histon segmentation for the automated detection of optic disc in digital fundus images. BHI 2012: 444-447 - [c1]U. Rajendra Acharya
Carotid far wall characterization using LBP, Laws' Texture Energy and wall variability: A novel class of Atheromatic systems. EMBC 2012: 448-451 - 2010
- [j2]M. Muthu Rama Krishnan
Statistical analysis of mammographic features and its classification using support vector machine. Expert Syst. Appl. 37(1): 470-478 (2010)
2000 – 2009
- 2009
- [j1]M. Muthu Rama Krishnan
Automated classification of cells in sub-epithelial connective tissue of oral sub-mucous fibrosis - An SVM based approach. Comput. Biol. Medicine 39(12): 1096-1104 (2009)
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