most citedEmpowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.NC2024

Graph-based vulnerability assessment of resting-state functional brain networks in full-term neonates

Mahshid Fouladivanda, Kamran Kazemi, Habibollah Danyali +1

Network disruption during early brain development can result in long-term cognitive impairments. In this study, we investigated rich-club organization in resting-state functional b…

eess.IV2024★ 1 cited

Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images

Sayed Amir Mousavi Mobarakeh, Kamran Kazemi, Ardalan Aarabi +1

Since 2019, the global dissemination of the Coronavirus and its novel strains has resulted in a surge of new infections. The use of X-ray and computed tomography (CT) imaging techn…