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ORCIDRohini Palanisamy
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2020 – today
- 2023
[c6]Sreelekshmi Palliyil Sreekumar, Rohini Palanisamy, Ramakrishnan Swaminathan:
Semantic Segmentation of Cell Painted Organelles using DeepLabv3plus Model. EMBC 2023: 1-4- 2022
- [c5]Sreelekshmi Palliyil Sreekumar, Rohini Palanisamy
, Ramakrishnan Swaminathan:
An Approach to Differentiate Cell Painted ER and Cytoplasm Using Zernike Moment Descriptor and Multilayer Perceptron. ICIMTH 2022: 308-311 - [c4]Sreelakshmi Shaji, Rohini Palanisamy, Ramakrishnan Swaminathan:
Explainable Optimized LightGBM Based Differentiation of Mild Cognitive Impairment Using MR Radiomic Features. ICIMTH 2022: 483-486 - [c3]Sreelekshmi Palliyil Sreekumar, Rohini Palanisamy, Ramakrishnan Swaminathan:
Differentiation of Cell Painted Organelles Using Non Local Texture Descriptor and Random Forest Approach. MIE 2022: 925-929 - 2020
- [j2]Rohini Palanisamy, S. Sundar, S. Ramakrishnan:
Differentiation of early mild cognitive impairment in brainstem MR images using multifractal detrended moving average singularity spectral features. Biomed. Signal Process. Control. 57 (2020) - [c2]Rohini Palanisamy, Ramakrishnan Swaminathan:
Identification of EMCI in MR Brainstem Structure Using Fractal Measures and Random Forest Approach. MIE 2020: 1309-1310
2010 – 2019
- 2019
- [j1]Rohini Palanisamy, S. Sundar, S. Ramakrishnan:
Characterization of Alzheimer conditions in MR images using volumetric and sagittal brainstem texture features. Comput. Methods Programs Biomed. 173: 147-155 (2019) - [c1]Ravi Dadsena, Rohini Palanisamy, S. Ramakrishnan:
Proposal of a Machine Learning Approach to Differentiate Mild and Alzheimer's Condition in MR Images Using Shape Changes in Corpus Callosum. EFMI-STC 2019: 243-244
Coauthor Index
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