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Anandh Kilpattu Ramaniharan
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2020 – today
- 2022
- [j2]Sreelakshmi Shaji, Jac Fredo Agastinose Ronickom, Anandh Kilpattu Ramaniharan, Ramakrishnan Swaminathan:
Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images. Expert Syst. Appl. 209: 118250 (2022) - [c4]Priscilla Dinkar Moyya
, Mythili Asaithambi, Anandh Kilpattu Ramaniharan:
Progesterone Receptor Status Analysis in Breast Cancer Patients using DCE- MR Images and Gabor Derived Anisotropy Index. MeMeA 2022: 1-5 - [c3]Vaibhav Jain
, Abirami Selvaraj, Rakshit Mittal
, Priya Rani, Anandh Kilpattu Ramaniharan, Jac Fredo Agastinose Ronickom:
Automated Diagnosis of Autism Spectrum Disorder Condition Using Shape Based Features Extracted from Brainstem. MIE 2022: 53-57
2010 – 2019
- 2019
- [c2]Priscilla Dinkar Moyya
, Mythili Asaithambi, Anandh Kilpattu Ramaniharan:
Extraction of Radiomic Features from Breast DCE-MRI Responds to Pathological Changes in Patients During Neoadjuvant Chemotherapy Treatment. IST 2019: 1-5 - 2016
- [j1]Anandh Kilpattu Ramaniharan, Sujatha C. Manoharan, Ramakrishnan Swaminathan:
Laplace Beltrami eigen value based classification of normal and Alzheimer MR images using parametric and non-parametric classifiers. Expert Syst. Appl. 59: 208-216 (2016) - 2014
- [c1]Sumathi Krishnaswamy
, Anandh Kilpattu Ramaniharan, Mahesh Veezhinathan
, S. Ramakrishnan:
Anisotropic diffusion filter based edge enhancement for the segmentation of carotid intima-media layer in ultrasound images using variational level set method without re-initialisation. EMBC 2014: 238-241
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last updated on 2024-04-25 05:49 CEST by the dblp team
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