Sogand Sadeghi

postdoctoral fellow

University of Arkansas for Medical Sciences

postdoc

2 h-index 2 pubs 13 cited

Research Areas

Advanced Neural Network Applications Medical Imaging Techniques and Applications Radiotherapy and Dosimetry AI in cancer detection Meta-analysis and systematic reviews

Links

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OverviewAI-generated summary

Sogand Sadeghi's research focuses on the application of advanced computational methods in medical imaging and radiotherapy. Sadeghi has published work on developing deep convolutional neural networks for the fully automated segmentation of clinical target volumes in glioblastoma radiotherapy. This work aims to improve the precision and efficiency of radiation treatment planning. Additionally, Sadeghi has contributed to a rapid review examining influential factors and solutions for reducing uncertainties in organ delineation within radiotherapy, highlighting the importance of accuracy in radiation oncology.

Metrics

  • h-index: 2
  • Publications: 2
  • Citations: 13

Selected Publications

  • Fully automated clinical target volume segmentation for glioblastoma radiotherapy using a deep convolutional neural network (2023) DOI

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