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 | 156 | 2019 |
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 | 133 | 2018 |
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 | 34 | 2018 |
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 | 28 | 2018 |
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 | 27 | 2019 |
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 | 24 | 2018 |
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 | 9 | 2015 |
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 | 8 | 2023 |
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 | 1 | 2013 |
Application of deep learning techniques for biomedical data analysis P Khojasteh RMIT University, 2019 | | 2019 |