Rohini Palanisamy

12 papers Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Comparative Study of Feature Impact on a Perceptual Quality Evaluation in Smoky Laparoscopic Videos Using Artificial Neural Networks.
IEEE Multim.
Sria Biswas, Rohini Palanisamy
2025 J jnl
Depth Integrated Multi-Task Prototypical Learning With Self Refinement for Unsupervised Domain Adaptation.
IEEE Access
Antonio Dauphin Fernando, Thumma Anirudh, Selvaraj Palanisamy, Karthika Prasad, Katia Alexander, Pandiyarasan Veluswamy, Rohini Palanisamy
2025 J jnl
Graph-theoretic characterization of nuclear spatial organization in renal cell carcinoma images.
Comput. Methods Programs Biomed.
Rohini Palanisamy, Shruthi Gokul, Gokul Manoj, Abinaya Srinivasan, Sandhya Sundaram, Ramakrishnan Swaminathan
2025 J jnl
Improved deep canonical correlation fusion approach for detection of early mild cognitive impairment.
Medical Biol. Eng. Comput.
Sreelakshmi Shaji, Rohini Palanisamy, Ramakrishnan Swaminathan
2023 — conf
Semantic Segmentation of Cell Painted Organelles using DeepLabv3plus Model.
EMBC
Sreelekshmi Palliyil Sreekumar, Rohini Palanisamy, Ramakrishnan Swaminathan
2022 — conf
An Approach to Differentiate Cell Painted ER and Cytoplasm Using Zernike Moment Descriptor and Multilayer Perceptron.
ICIMTH
Sreelekshmi Palliyil Sreekumar, Rohini Palanisamy, Ramakrishnan Swaminathan
2022 — conf
Differentiation of Cell Painted Organelles Using Non Local Texture Descriptor and Random Forest Approach.
MIE
Sreelekshmi Palliyil Sreekumar, Rohini Palanisamy, Ramakrishnan Swaminathan
2022 — conf
Explainable Optimized LightGBM Based Differentiation of Mild Cognitive Impairment Using MR Radiomic Features.
ICIMTH
Sreelakshmi Shaji, Rohini Palanisamy, Ramakrishnan Swaminathan
2020 J jnl
Differentiation of early mild cognitive impairment in brainstem MR images using multifractal detrended moving average singularity spectral features.
Biomed. Signal Process. Control.
Rohini Palanisamy, S. Sundar, S. Ramakrishnan
2020 — conf
Identification of EMCI in MR Brainstem Structure Using Fractal Measures and Random Forest Approach.
MIE
Rohini Palanisamy, Ramakrishnan Swaminathan
2019 J jnl
Characterization of Alzheimer conditions in MR images using volumetric and sagittal brainstem texture features.
Comput. Methods Programs Biomed.
Rohini Palanisamy, S. Sundar, S. Ramakrishnan
2019 — conf
Proposal of a Machine Learning Approach to Differentiate Mild and Alzheimer's Condition in MR Images Using Shape Changes in Corpus Callosum.
EFMI-STC
Ravi Dadsena, Rohini Palanisamy, S. Ramakrishnan