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S. P. Angeline Kirubha

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2020 – today

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2025
[j5]
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  - journals/cssp/NandakumarDKP25
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  - https://dblp.org/rec/journals/cssp/NandakumarDKP25
R. Nandakumar, S. Deivanayagi, S. P. Angeline Kirubha, R. Prabu:
Recognizing Emotions from Physiological Data in a Eeg Signals Using a Novel Deep Learning Technique. Circuits Syst. Signal Process. 44(6): 3940-3963 (2025)
2024
[j4]
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A. Jeya Prabha, M. Sameera Fathimal, G. R. Meghana, S. P. Angeline Kirubha:
Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography - Neovascular Age related Macular degeneration retinal images using deep learning models. Int. J. Imaging Syst. Technol. 34(2) (2024)
2023
[j3]
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  - journals/cmbbeiv/PreciousIK23
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J. Glory Precious, Keren Evangeline I., S. P. Angeline Kirubha:
Brain tumour segmentation and survival prognostication using 3D radiomics features and machine learning algorithms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(5): 1803-1817 (2023)
[j2]
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Keren Evangeline I., S. P. Angeline Kirubha, J. Glory Precious:
Survival analysis of breast cancer patients using machine learning models. Multim. Tools Appl. 82(20): 30909-30928 (2023)
2021
[j1]
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  - journals/ijmei/KumarRRK21
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A. Udaya Kumar, Raghav R., R. Reshma, S. P. Angeline Kirubha:
Non-invasive assessment of fractional flow reserve using computational fluid dynamics modelling from coronary angiography images. Int. J. Medical Eng. Informatics 13(1): 44-53 (2021)

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