Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Paria Jeihouni"'
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:1614-1627
Optical coherence tomography (OCT) has been identified as a non-invasive and inexpensive imaging modality to discover potential biomarkers for Alzheimer's diagnosis and progress determination. Current hypotheses presume the thickness of the retinal l
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
In this paper, we design a Generative Adversarial Network (GAN)-based solution for super-resolution and segmentation of optical coherence tomography (OCT) scans of the retinal layers. OCT has been identified as a non-invasive and inexpensive modality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8b71d843f9abd0508b3310f0c328a46
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Autor:
Omid Dehzangi, Paria Jeihouni, Arash Shokouhmand, Ali R. Rezai, Nasser M. Nasrabadi, Victor Finomore, Jad Ramadan
Publikováno v:
ICPR
Dealing with opioid addiction and its long-term consequences is of great importance, as the addiction to opioids is emerged gradually, and established strongly in a given patient's body. Based on recent research, quitting the opioid requires clinicia