Biography and Research Information
OverviewAI-generated summary
Sogand Sadeghi's research focuses on medical imaging techniques and applications within radiation oncology. Her work investigates methods for improving radiotherapy planning through automated segmentation of clinical target volumes, particularly for glioblastoma. Sadeghi has also conducted a rapid review of factors influencing organ delineation uncertainties in radiotherapy and explored solutions for their reduction.
Her scholarly contributions include two publications with a total of 13 citations, and she holds an h-index of 2. Sadeghi is currently a postdoctoral fellow at the University of Arkansas for Medical Sciences, contributing to research within the radiation physics department.
Metrics
- h-index: 2
- Publications: 2
- Citations: 15
Selected Publications
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Fully automated clinical target volume segmentation for glioblastoma radiotherapy using a deep convolutional neural network (2023)
Collaboration Network
Top Collaborators
Mostafa Farzin
Tehran University of Medical Sciences (IR)
2 shared publications
- Fully automated clinical target volume segmentation for glioblastoma radiotherapy using a deep convolutional neural network
- A rapid review of influential factors and appraised solutions on organ delineation uncertainties reduction in radiotherapy
Somayeh Gholami
University of Arkansas for Medical Sciences (US)
2 shared publications
- Fully automated clinical target volume segmentation for glioblastoma radiotherapy using a deep convolutional neural network
- A rapid review of influential factors and appraised solutions on organ delineation uncertainties reduction in radiotherapy
Zahra Siavashpour
Shahid Beheshti University of Medical Sciences (IR)
1 shared publication
- A rapid review of influential factors and appraised solutions on organ delineation uncertainties reduction in radiotherapy
Alireza Vafaei Sadr
University of Geneva (CH)
1 shared publication
- A rapid review of influential factors and appraised solutions on organ delineation uncertainties reduction in radiotherapy
Ryan Sharp
University of Nevada, Las Vegas (US)
1 shared publication
- A rapid review of influential factors and appraised solutions on organ delineation uncertainties reduction in radiotherapy
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