My Google Scholar Profile (Citations > 400, H-index = 8)
My GitHub (Source Code of My Papers)
My peer-reviewed papers List:
1- M. Amin-Naji, I. Taghavi, M. Nielsen, E. Thomsen, C. Sørensen, and J.A. Jensen, “Recursive imaging for tracking high density scatterers in super-resolution imaging “, In 2023 ieee international ultrasonics symposium (IUS), IEEE, 2023.
2- M. Amin-Naji, I. Taghavi, M.B. Stuart, and J.A. Jensen, “Super resolution ultrasound using recursive imaging of highly dense scatterers”, In 2022 ieee international ultrasonics symposium (IUS), IEEE, 2022. Paper source LINK
3- I. Taghavi, M. Amin-Naji, M., Schou, M.L. Ommen, K. Steenberg, E.V. Thomsen, and J.A. Jensen, J. A. “Compensation for velocity underestimation in 2d super-resolution ultrasound”, In 2022 ieee international ultrasonics symposium (IUS), IEEE, 2022. Paper source LINK
4- M. Amin-Naji, I. Taghavi, S.B. Søgaard, S.B Andersen, C.M. Sørensen, M.B. Stuart, and J.A. Jensen, “Fast super-resolution ultrasound imaging by tracking of erythrocytes using different velocity constraints”, In 2022 SPIE medical imaging: Ultrasonic imaging and tomography. SPIE, 2022. Paper source LINK
5- M. Amin-Naji, A. Aghagolzadeh, and H. Mahdavinataj, “Fast multi focus image fusion using determinant”, In 2022 international conference on machine vision and image processing (MVIP). IEEE, 2022. Paper source LINK
6-M. Amin-Naji, A. Aghagolzadeh, and M. Ezoji, “Ensemble of CNN for Multi-Focus Image Fusion”, Information Fusion, vol. 51, pp. 201–214, 2019. High Impact-Factor of 13.669 / Q1 Journal Paper source LINK
7-M. Amin-Naji, A. Aghagolzadeh, and M. Ezoji, “CNNs Hard Voting for Multi-Focus Image Fusion”, Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 4, pp. 1749–17691, 2020. Impact-Factor of 4.594 / Q1 Journal Paper source LINK
8- S.H. Hojjati, M. Amin-Naji, A. Babajani-Feremi, “Alzheimer’s Disease Prediction Using Deep Learning Based on Functional and Structural MRI”, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa, USA, p. 897, April 2020.
9-M. Amin-Naji, Hami Mahdavinataj, and A. Aghagolzadeh, “Alzheimer’s disease diagnosis from structural MRI using Siamese convolutional neural network” The 4th International conference on Pattern Recognition and Image Analysis (IPRIA), pp. 75-79 2019. Paper source LINK
10-M. Amin-Naji, A. Aghagolzadeh, and M. Ezoji, “Fully Convolutional Networks for Multi-Focus Image Fusion”, 9th International Symposium on Telecommunication (IST), pp. 553-558, 2018. Paper source LINK
11- M. Amin-Naji and A. Aghagolzadeh, “Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks,” Journal of AI and Data Mining, Vol.6, No.2, pp. 233-250, 2018. Paper Details // Paper source Link
12- M. Amin-Naji Pardis Ranjbar-Noiey and A. Aghagolzadeh, “Multi-focus image fusion using Singular Value Decomposition in DCT domain,” in 2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP), pp. 45-51, 2017. Paper Details // Paper source Link
13- M. Amin-Naji and A. Aghagolzadeh, “Multi-focus image fusion in DCT domain based on correlation coefficient,” in 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), pp. 632-639, 2015. Paper Details//Paper source LINK
14- M. Amin-Naji and A. Aghagolzadeh, “A new multi-focus image fusion technique based on variance in DCT domain,” in 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), pp. 478-484, 2015. Paper Details//Paper source LINK
15- M. Amin-Naji and A. Aghagolzadeh. “Multi-focus image fusion using VOL and EOL in DCT domain.” In 2016 1st International Conference on New Research Achievements in Electrical and Computer Engineering (ICNRAECE), pp. 728-733, 2016.Paper source LINK
16- M. Amin-Naji and A. Aghagolzadeh. “Block DCT filtering using vector processing.” In 2016 1st International Conference on New Research Achievements in Electrical and Computer Engineering (ICNRAECE), pp. 722-727, 2016. Paper source LINK
and some under preparation . . .