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Springer Nature2
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Journal of Medical and Biological Engineering1
Medical & Biological Engineering & Computing1
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20251
20241
Rezvan Samimi results 2 · Newest (Page 1/1, per page 25)
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Automated pulmonary nodule classification from low-dose CT images using ERBNet: an ensemble learning approachNARA Subscribed
Medical & Biological Engineering & Computing · 2025 · Vol. 63 · Issue 9 · Springer
Yashar Ahmadyar; Alireza Kamali-Asl; Rezvan Samimi; Hossein Arabi; Habib Zaidi
The aim of this study was to develop a deep learning method for analyzing CT images with varying doses and qualities, aiming to categorize lung lesions into nodules and non-nodules. This study utilized the lung nodule analysis 2016 challenge dataset. Different low-dose CT (LDCT) images, including 10%, 20%, 40%, and 60% levels, were generated from the full-dose CT (FDCT) images. Five different 3D convolutional networks were dev...
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Predicting Immunohistochemical Biomarkers of Breast Cancer Using 18F-FDG PET/CT Radiomics: A Multicenter StudyNARA Subscribed
Journal of Medical and Biological Engineering · 2024 · Vol. 44 · Issue 5 · Springer
Sahar Faraji; Farshad Emami; Zahra Vosoughi; Ghasem Hajianfar; Shahrokh Naseri; Rezvan Samimi; Habibeh Vosoughi; Parham Geramifar; Habib Zaidi
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