Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alireza Hokmabadi"'
Autor:
Arezoo Zakeri, Alireza Hokmabadi, Ning Bi, Isuru Wijesinghe, Michael G. Nix, Steffen E. Petersen, Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya
Publikováno v:
Medical Image Analysis. 83:102678
Deformable image registration (DIR) can be used to track cardiac motion. Conventional DIR algorithms aim to establish a dense and non-linear correspondence between independent pairs of images. They are, nevertheless, computationally intensive and do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21485f0311d1dc92fb4c1a32b752fd16
https://doi.org/10.1016/j.media.2022.102678
https://doi.org/10.1016/j.media.2022.102678
Autor:
A Zakeri, Alireza Hokmabadi
Publikováno v:
Expert Systems with Applications. 119:61-72
Feature selection is the problem of finding the minimum number of features among a redundant feature space which leads to the maximum classification performance. In this paper, we have proposed a novel feature selection method based on mathematical m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bf94b26c4ca5856dae264f2580f6c9f
https://doi.org/10.1016/j.eswa.2018.10.021
https://doi.org/10.1016/j.eswa.2018.10.021
Publikováno v:
Medical image analysis. 75
Automatic shape anomaly detection in large-scale imaging data can be useful for screening suboptimal segmentations and pathologies altering the cardiac morphology without intensive manual labour. We propose a deep probabilistic model for local anomal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::324c59f0dd3a96550f2ea43804e985f3
https://pubmed.ncbi.nlm.nih.gov/34753021
https://pubmed.ncbi.nlm.nih.gov/34753021
Autor:
Alireza Hokmabadi, A Zakeri
Publikováno v:
Biocybernetics and Biomedical Engineering. 38:456-466
Melanoma and dysplastic lesions are pigmented skin lesions whose accurate classification is of great importance. In this paper, we have proposed a computer-aided diagnosis (CAD) system to improve the diagnostic ability of the conventional ABCD (asymm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2099cbf7272d3484fc3513e68c1aef18
https://doi.org/10.1016/j.bbe.2018.03.005
https://doi.org/10.1016/j.bbe.2018.03.005
Publikováno v:
International Journal of Microwave and Wireless Technologies. 9:1185-1190
In this paper, a miniaturized CPW-fed tapered slot antenna (TSA) with a modified CPW to slot-line transition structure was introduced. An air-bridge and tapered slot edge (TSE) structure was also employed to broaden the transition bandwidth. Through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf02ebee718135463bc9096702cc5239
https://doi.org/10.1017/s1759078716001288
https://doi.org/10.1017/s1759078716001288
Publikováno v:
International Journal of Microwave & Wireless Technologies; Jun2017, Vol. 9 Issue 5, p1185-1190, 6p
Publikováno v:
International Journal of Microwave & Wireless Technologies; Jun2017, Vol. 9 Issue 5, pb1-b3, 1p
Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and
