| Combining the spectral PCA and spatial PCA fusion methods by an optimal filter HR Shahdoosti, H Ghassemian Information Fusion 27, 150-160, 2016 | 214 | 2016 |
| Fusion of MS and PAN images preserving spectral quality HR Shahdoosti, H Ghassemian IEEE Geoscience and Remote Sensing Letters 12 (3), 611-615, 2014 | 104 | 2014 |
| Edge-preserving image denoising using a deep convolutional neural network HR Shahdoosti, Z Rahemi Signal Processing 159, 20-32, 2019 | 82 | 2019 |
| Multimodal image fusion using sparse representation classification in tetrolet domain HR Shahdoosti, A Mehrabi Digital Signal Processing 79, 9-22, 2018 | 72 | 2018 |
| Image denoising using sparse representation classification and non-subsampled shearlet transform HR Shahdoosti, O Khayat Signal, Image and Video Processing 10, 1081-1087, 2016 | 61 | 2016 |
| Spatial PCA as a new method for image fusion HR Shahdoosti, H Ghassemian The 16th CSI International Symposium on Artificial Intelligence and Signal …, 2012 | 52 | 2012 |
| MRI and PET/SPECT image fusion at feature level using ant colony based segmentation HR Shahdoosti, Z Tabatabaei Biomedical Signal Processing and Control 47, 63-74, 2019 | 51 | 2019 |
| Pansharpening of clustered MS and Pan images considering mixed pixels HR Shahdoosti, N Javaheri IEEE Geoscience and Remote Sensing Letters 14 (6), 826-830, 2017 | 50 | 2017 |
| Spectral–spatial feature extraction using orthogonal linear discriminant analysis for classification of hyperspectral data HR Shahdoosti, F Mirzapour European Journal of Remote Sensing 50 (1), 111-124, 2017 | 48 | 2017 |
| MRI and PET image fusion using structure tensor and dual ripplet-II transform HR Shahdoosti, A Mehrabi Multimedia Tools and Applications 77, 22649-22670, 2018 | 41 | 2018 |
| Image denoising in dual contourlet domain using hidden Markov tree models HR Shahdoosti, SM Hazavei Digital Signal Processing 67, 17-29, 2017 | 40 | 2017 |
| A novel hybrid algorithm for creating self-organizing fuzzy neural networks O Khayat, MM Ebadzadeh, HR Shahdoosti, R Rajaei, I Khajehnasiri Neurocomputing 73 (1-3), 517-524, 2009 | 40 | 2009 |
| Combined ripplet and total variation image denoising methods using twin support vector machines HR Shahdoosti, SM Hazavei Multimedia Tools and Applications 77, 7013-7031, 2018 | 24 | 2018 |
| Combination of anisotropic diffusion and non-subsampled shearlet transform for image denoising HR Shahdoosti, O Khayat Journal of Intelligent & Fuzzy Systems 30 (6), 3087-3098, 2016 | 20 | 2016 |
| MS and PAN image fusion by combining Brovey and wavelet methods HR Shahdoosti arXiv preprint arXiv:1701.01996, 2017 | 19 | 2017 |
| A maximum likelihood filter using non-local information for despeckling of ultrasound images HR Shahdoosti, Z Rahemi Machine Vision and Applications 29, 689-702, 2018 | 16 | 2018 |
| Transform‐based watermarking algorithm maintaining perceptual transparency HR Shahdoosti, M Salehi IET Image Processing 12 (5), 751-759, 2018 | 16 | 2018 |
| An overview on model based approachs in face recognition O Khayat, HR Shahdoosti, AJ Motlagh International Conference on Artificial Intelligence, Knowledge Engineering …, 2008 | 12 | 2008 |
| Image classification using principal feature analysis O Khayat, HR Shahdoosti, MH Khosravi Proceedings of the 7th WSEAS International Conference on Artificial …, 2008 | 12 | 2008 |
| A new compressive sensing based image denoising method using block-matching and sparse representations over learned dictionaries HR Shahdoosti, SM Hazavei Multimedia Tools and Applications 78 (9), 12561-12582, 2019 | 11 | 2019 |
Hassan GhassemianProfessor of Electrical and Computer Engineering, Tarbiat Modares UniversityDirección de correo verificada de modares.ac.ir
