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parham khojasteh
parham khojasteh
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Cited by
Year
Exudate detection in fundus images using deeply-learnable features
P Khojasteh, LAP Júnior, T Carvalho, E Rezende, B Aliahmad, JP Papa, ...
Computers in biology and medicine 104, 62-69, 2019
1502019
Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms
P Khojasteh, B Aliahmad, DK Kumar
BMC ophthalmology 18, 1-13, 2018
1232018
Parkinson's disease diagnosis based on multivariate deep features of speech signal
P Khojasteh, R Viswanathan, B Aliahmad, S Ragnav, P Zham, DK Kumar
2018 IEEE Life Sciences Conference (LSC), 187-190, 2018
312018
Introducing a novel layer in convolutional neural network for automatic identification of diabetic retinopathy
P Khojasteh, B Aliahmad, SP Arjunan, DK Kumar
2018 40th annual international conference of the IEEE engineering in …, 2018
272018
A novel color space of fundus images for automatic exudates detection
P Khojasteh, B Aliahmad, DK Kumar
Biomedical signal processing and control 49, 240-249, 2019
242019
Efficiency of voice features based on consonant for detection of Parkinson's disease
R Viswanathan, P Khojasteh, B Aliahmad, SP Arjunan, S Ragnav, ...
2018 IEEE life sciences conference (LSC), 49-52, 2018
212018
Automatic detection of formations using images of oil well drilling cuttings
P Khojasteh, A Ahmadyfard, B Tokhmechi, SA Mirmahdavi
Journal of Petroleum Science and Engineering 125, 67-74, 2015
92015
ResNet and Yolov5-enabled non-invasive meat identification for high-accuracy box label verification
O Jarkas, J Hall, S Smith, R Mahmud, P Khojasteh, J Scarsbrook, RKL Ko
Engineering Applications of Artificial Intelligence 125, 106679, 2023
52023
A Novel Modeling of Random Textures Using Fourier Transform for Defect Detection
SA Mirmahdavi, A Ahmadyfard, AA Shahraki, P Khojasteh
2013 UKSim 15th International Conference on Computer Modelling and …, 2013
12013
Application of deep learning techniques for biomedical data analysis
P Khojasteh
RMIT University, 2019
2019
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