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20212025
most citedA novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging

20 citations · 44 across the 9 of their papers we have counts for

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2 papers · 1 filter

eess.IV2022★ 14 cited

A novel unsupervised covid lung lesion segmentation based on the lung tissue identification

Faeze Gholamian Khah, Samaneh Mostafapour, Seyedjafar Shojaerazavi +2

This study aimed to evaluate the performance of a novel unsupervised deep learning-based framework for automated infections lesion segmentation from CT images of Covid patients. In…

eess.IV2021★ 5 cited

Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients

Faeze Gholamiankhah, Samaneh Mostafapour, Nouraddin Abdi Goushbolagh +4

Automated semantic image segmentation is an essential step in quantitative image analysis and disease diagnosis. This study investigates the performance of a deep learning-based mo…