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Journal Articles
- 2024
[j5]Neetha George, Linu Shine, Ambily N, Bejoy Abraham, Sivakumar Ramachandran
:
A two-stage CNN model for the classification and severity analysis of retinal and choroidal diseases in OCT images. Int. J. Intell. Networks 5: 10-18 (2024)- 2023
- [j4]Athena George, Bejoy Abraham, Neetha George, Linu Shine, Sivakumar Ramachandran:
An Efficient 3D CNN Framework with Attention Mechanisms for Alzheimer's Disease Classification. Comput. Syst. Sci. Eng. 47(2): 2097-2118 (2023) - [j3]Sivakumar Ramachandran:
A novel deep learning framework for the identification of tortuous vessels in plus diseased infant retinal images. Intell. Data Anal. 27(5): 1523-1537 (2023) - 2020
- [j2]Sivakumar Ramachandran, Shymol Kochitty, Anand Vinekar, Renu John:
A fully convolutional neural network approach for the localization of optic disc in retinopathy of prematurity diagnosis. J. Intell. Fuzzy Syst. 38(5): 6269-6278 (2020) - [j1]Sivakumar Ramachandran, Nicola Strisciuglio, Anand Vinekar, Renu John, George Azzopardi:
U-COSFIRE filters for vessel tortuosity quantification with application to automated diagnosis of retinopathy of prematurity. Neural Comput. Appl. 32(16): 12453-12468 (2020)
Conference and Workshop Papers
- 2021
- [c4]M. Vyshnavi, Bejoy Abraham, Sivakumar Ramachandran:
A Deep Learning Framework for the Classification of Lung Diseases Using Chest X-Ray Images. CVIP (1) 2021: 328-339 - [c3]Unnikrishnan M. S, Bejoy Abraham, Sivakumar Ramachandran:
A Curvature Based Approach for the Identification of Tortuous Blood Vessels in Retinal images of Preterm Infants. ICCCNT 2021: 1-5 - 2017
- [c2]Sivakumar Ramachandran, Veena V, Renu John:
A Curvature Based Approach for the Automated Screening of Retinopathy of Prematurity in Preterm Infants. SITIS 2017: 503-508 - 2016
- [c1]Sivakumar Ramachandran, Manu Eldho, C. V. Jiji, Anand Vinekar, Renu John:
Computer aided screening of retinopathy of prematurity - A multiscale Gabor filter approach. ISED 2016: 259-264
Coauthor Index
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