Match tier Listed
Presence Formerly Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-18

Sogand Sadeghi

postdoctoral fellow

Also affiliated: University of Mazandaran (2021–2023)

Formerly Arkansas Affiliated with UAMS through 2023; recent publications list The University of Texas MD Anderson Cancer Center.

Postdoc Researcher

2 h-index 2 pubs 16 cited

  • Humans
  • Radiotherapy Planning, Computer-Assisted
  • Radiation Oncology
  • Brain Neoplasms
  • Glioma
  • Magnetic Resonance Imaging
  • Male
  • Prostate
  • Observer Variation
  • Organs at Risk
  • Deep Learning
  • Convolutional Neural Networks
  • Algorithms
  • Tumor Burden
  • Neoplasm Grading

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: 16

Selected Publications

  • Fully automated clinical target volume segmentation for glioblastoma radiotherapy using a deep convolutional neural network (2023)
    Polish Journal of Radiology 10 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

2 Collaborators 2 Institutions 2 Countries

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