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Rubina Sarki
Observed name:
Sarki, Rubina
Institution:
Melbourne Institute of Technology
Observed institutions:
Korean Association Of Science and Technology Studies,
Melbourne Institute of Technology,
Korea Institute of Science and Technology,
Victoria University,
Korea University of Science and Technology
ORCID:
0000-0001-5018-9567
Observed ORCID:
0000-0001-5018-9567
OpenAlex ID:
A5086577635
Automated detection of mild and multi-class diabetic eye diseases using deep learning
2020
·
Rubina Sarki
, Khandakar Ahmed
, et al.
·
Health Information Science and Systems
·
198
Automatic Detection of Diabetic Eye Disease Through Deep Learning Using Fundus Images: A Survey
2020
·
Rubina Sarki
, Khandakar Ahmed
, et al.
·
IEEE Access
·
193
PDF
Image Preprocessing in Classification and Identification of Diabetic Eye Diseases
2021
·
Rubina Sarki
, Khandakar Ahmed
, et al.
·
Data Science and Engineering
·
161
PDF
Convolutional Neural Network for Multi-class Classification of Diabetic Eye Disease
2018
·
Rubina Sarki
, Khandakar Ahmed
, et al.
·
ICST Transactions on Scalable Information Systems
·
100
PDF
Automated detection of COVID-19 through convolutional neural network using chest x-ray images
2022
·
Rubina Sarki
, Khandakar Ahmed
, et al.
·
PLoS ONE
·
97
PDF
Convolutional neural networks for mild diabetic retinopathy detection: an experimental study
2019
·
Rubina Sarki
, Sandra Michalska
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
42
PDF
Early Detection of Diabetic Eye Disease through Deep Learning using Fundus Images
2020
·
Rubina Sarki
, Khandakar Ahmed
, et al.
·
EAI Endorsed Transactions on Pervasive Health and Technology
·
19
PDF
Early Detection of Diabetic Eye Disease from Fundus Images with Deep Learning
2020
·
Rubina Sarki
, Khandakar Ahmed
, et al.
·
Lecture notes in computer science
·
6
Design and implementation of web-based elderly friendly tangible photo technique
2015
·
Rubina Sarki
, Jang Haeun
, et al.
·
International Conference on Digital Information Management
·
5
A Review of Explainable Deep Learning for Intrusion Detection in SDN Balancing Accuracy and Interpretability in Software-Defined Networking Security
2026
·
Jayasena, S.K.K Methun
, Sharma, Aakanksha
, et al.
·
Melbourne Institute of Technology
A Review of Machine Learning and Metaheuristic-based approaches for Controller Placement Problem of Software Defined Networks
2026
·
Kariyawasam, Dilshan Osanda
, Sharma, Aakanksha
, et al.
·
Melbourne Institute of Technology
Towards buying experience with things: Experimental study @Starbucks
2015
·
Rubina Sarki
, Yong-Moo Kwon
·
International Conference on Advanced Communication Technology
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Works count:
13
Citation count:
821
H-index:
7
I10-index:
7
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