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2020 – today
- 2024
[j4]K. M. Jemshi
, G. Sreelekha, P. S. Sathidevi, Poornima Mohanachandran, Anand Vinekar:
Plus disease classification in Retinopathy of Prematurity using transform based features. Multim. Tools Appl. 83(1): 861-891 (2024)- 2020
- [j3]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) - [j2]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) - [c9]K. L. Nisha, G. Sreelekha, P. S. Sathidevi, Poornima Mohanachandran, Anand Vinekar:
Automated Detection and Segmentation of Laser Marks in Retinal Fundus Images of Preterm Infants. ICCCNT 2020: 1-7
2010 – 2019
- 2019
- [j1]K. L. Nisha, G. Sreelekha, Sathidevi Puthumangalathu Savithri, Poornima Mohanachandran, Anand Vinekar:
A computer-aided diagnosis system for plus disease in retinopathy of prematurity with structure adaptive segmentation and vessel based features. Comput. Medical Imaging Graph. 74: 72-94 (2019) - [c8]Supriti Mulay, Keerthi Ram, Mohanasankar Sivaprakasam, Anand Vinekar:
Early detection of retinopathy of prematurity stage using deep learning approach. Medical Imaging: Computer-Aided Diagnosis 2019: 109502Z - [c7]K. L. Nisha, G. Sreelekha, P. S. Sathidevi, Poornima Mohanachandran, Anand Vinekar:
A Robust Algorithm for Automated Detection of Optic Disc in Retina of Premature Infants. TENCON 2019: 684-689 - 2018
- [c6]Deepthi Badarinath, Chaitra S, Neha Bharill, Muhammad Tanveer, Mukesh Prasad, H. N. Suma, Abhishek M. Appaji, Anand Vinekar:
Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening. IJCNN 2018: 1-6 - [c5]Sharath M. Shankaranarayana, Keerthi Ram, Anand Vinekar, Kaushik Mitra, Mohanasankar Sivaprakasam:
A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images. COMPAY/OMIA@MICCAI 2018: 336-343 - 2017
- [c4]K. L. Nisha, G. Sreelekha, Sathidevi Puthumangalathu Savithri, Poornima Mohanachandran, Anand Vinekar:
Fusion of structure adaptive filtering and mathematical morphology for vessel segmentation in fundus images of infants with Retinopathy of Prematurity. CCECE 2017: 1-6 - [c3]Abhishek M. Appaji, H. N. Suma, M. S. Madhurya, S. Maria Sonia, Anand Vinekar:
Comprehensive analysis of retinopathy of prematurity based on tortuosity with development of web connectivity. ISKE 2017: 1-5 - 2016
- [c2]R. Sivakumar, Manu Eldho, C. V. Jiji, Anand Vinekar, Renu John:
Diagnosis of plus diseases for the automated screening of retinopathy of prematurity in preterm infants. ICIIS 2016: 408-413 - [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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