34 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Deakin UniversityAU3 papers
- Duke-NUS Medical SchoolSG3 papers
- National Heart Centre SingaporeSG3 papers
- Tabriz Islamic Arts UniversityIR3 papers
- University of Southern QueenslandAU3 papers
- The George Institute for Global HealthGB2 papers
- The University of SydneyAU2 papers
- Intelligent Systems Research (United States)US1 paper
- Research Center for Pharmaceutical NanotechnologyIR1 paper
4 papers
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina
Yasin Sadeghi Bazargani, Majid Mirzaei, Navid Sobhi +7
Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and vasculature reflect the body's micro- and macrovascular health. They can be used to diagno…
Current and future roles of artificial intelligence in retinopathy of prematurity
Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya +9
Retinopathy of prematurity (ROP) is a severe condition affecting premature infants, leading to abnormal retinal blood vessel growth, retinal detachment, and potential blindness. Wh…
Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade
Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh +7
Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods - in particular, deep learning (DL) - has been o…
Gap Junctions: The Claymore for Cancerous Cells
Masoud Asadi-Khiavi, Hossein Hamzeiy, Sajjad Khani +2
Introduction: Gap junctions play an important role in the cell proliferation in mammalian cells as well as carcinogenesis. However, there are controversial issues about their role…