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Armin Rashno
Armin Rashno
Associate Professor, Artificial Intelligence, Lorestan University
Verified email at lu.ac.ir - Homepage
Title
Cited by
Cited by
Year
RETOUCH-The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge
H Bogunović, .., A Rashno, M Sarunic, S Shaikh, J Sivaswamy, ...
IEEE Transactions on Medical Imaging, 2019
2292019
Fully automated segmentation of fluid/cyst regions in optical coherence tomography images with diabetic macular edema using neutrosophic sets and graph algorithms
A Rashno, DD Koozekanani, PM Drayna, B Nazari, S Sadri, H Rabbani, ...
IEEE Transactions on Biomedical Engineering 65 (5), 989-1001, 2018
1322018
Scheme for unsupervised colour–texture image segmentation using neutrosophic set and non‐subsampled contourlet transform
A Heshmati, M Gholami, A Rashno
IET Image Processing 10 (6), 464-473, 2016
562016
An efficient content-based image retrieval with ant colony optimization feature selection schema based on wavelet and color features
A Rashno, S Sadri, H SadeghianNejad
2015 The International Symposium on Artificial Intelligence and Signal …, 2015
552015
Effective pixel classification of mars images based on ant colony optimization feature selection and extreme learning machine
A Rashno, B Nazari, S Sadri, M Saraee
Neurocomputing 226, 66-79, 2017
532017
Fully-automated segmentation of fluid regions in exudative age-related macular degeneration subjects: Kernel graph cut in neutrosophic domain
A Rashno, B Nazari, DD Koozekanani, PM Drayna, S Sadri, H Rabbani, ...
PloS one 12 (10), e0186949, 2017
482017
Content-based image retrieval with color and texture features in neutrosophic domain
A Rashno, S Sadri
2017 3rd International Conference on Pattern Recognition and Image Analysis …, 2017
442017
Particle Distance Rank Feature Selection by Particle Swarm Optimization
M Shafipour, A Rashno, S Fadaei
Expert Systems with Applications, 115620, 2021
412021
Automated image segmentation method to analyse skeletal muscle cross section in exercise-induced regenerating myofibers
M Rahmati, A Rashno
Scientific Reports - Nature 11 (1), 1-16, 2021
402021
Particle Ranking: An Efficient Method For Multi-Objective Particle Swarm Optimization Feature Selection
A Rashno, M Shafipour, S Fadaei
Knowledge-Based Systems, 108640, 2022
392022
OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network*
A Rashno, DD Koozekanani, KK Parhi
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
392018
Content-based image retrieval system with most relevant features among wavelet and color features
A Rashno, E Rashno
arXiv preprint arXiv:1902.02059, 2019
322019
A review on content-based image retrieval system: Present trends and future challenges
NK Rout, M Atulkar, MK Ahirwal, A Rashno
International Journal of Computational Vision and Robotics 11 (5), 461-485, 2021
292021
Automatic segmentation of choroid layer in edi oct images using graph theory in neutrosophic space
B Salafian, R Kafieh, A Rashno, M Pourazizi, S Sadri
arXiv preprint arXiv:1812.01989, 2018
272018
Image Retrieval: Ideas, Influences, and Trends of the New Age-Addendum
R Datta, A Rashno, D Joshi, J Li, JZ Wang
Proceedings MIR'05 (ACM), 2005
232005
Explainability for Content-Based Image Retrieval.
B Dong, R Collins, A Rashno, A Hoogs
CVPR Workshops, 95-98, 2019
212019
Detection and segmentation of various types of fluids with graph shortest path and deep learning approaches
KP Abdolreza Rashno, Dara Koozekanani
Proc. MICCAI Retinal OCT Fluid Challenge (RETOUCH), 2017
202017
A framework for hexagonal image processing using hexagonal pixel-perfect approximations in subpixel resolution
S Fadaei, A Rashno
IEEE Transactions on image processing 30, 4555-4570, 2021
192021
A new framework for canny edge detector in hexagonal lattice
M Firouzi, S Fadaei, A Rashno
International Journal of Engineering 35 (8), 1588-1598, 2022
182022
Automated fluid/cyst segmentation: A quantitative assessment of diabetic macular edema
KK Parhi, A Rashno, B Nazari, S Sadri, H Rabbani, P Drayna, ...
Investigative Ophthalmology & Visual Science 58 (8), 4633-4633, 2017
182017
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