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Sepideh Amiri
Sepideh Amiri
Department of Computer Science, University of Copenhagen
Verified email at di.ku.dk
Title
Cited by
Cited by
Year
Radiomics analysis on CT images for prediction of radiation-induced kidney damage by machine learning models
S Amiri, M Akbarabadi, F Abdolali, A Nikoofar, AJ Esfahani, S Cheraghi
Computers in Biology and Medicine 133, 104409, 2021
222021
A Systematic Review on the Role of Artificial Intelligence in Sonographic Diagnosis of Thyroid Cancer: Past, Present and Future
F Abdolali, A Shahroudnejad, S Amiri, A Rakkunedeth Hareendranathan, ...
Frontiers in Biomedical Technologies 7 (4), 2021
142021
Improved automated lesion segmentation in whole-body FDG/PET-CT via test-time augmentation
S Amiri, B Ibragimov
arXiv preprint arXiv:2210.07761, 2022
32022
A modified deep learning model in the classification of post-COVID-19 lung disease and a comparative study on Iranian and international databases
S Cheraghi, S Amiri, F Abdolali, AJ Esfahani, AAT Zade, R Ahadi, F Ansari, ...
International Journal of Radiation Research 22 (1), 55-64, 2024
2024
Test-Time Augmentation Towards Improved Cross-Center PET/CT Segmentations by the Swin UNETR
F Yousefirizi, S Amiri, B Ibragimov, C Gowdy, C Uribe, A Rahmim
2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …, 2023
2023
A machine learning approach for prediction of auditory brain stem response in patients after head-and-neck radiation therapy
S Amiri, F Abdolali, A Neshastehriz, A Nikoofar, S Farahani, ...
Journal of Cancer Research and Therapeutics 19 (5), 1219-1225, 2023
2023
Designing an Intelligent Lesion Detection System Using Deep Architecture Neural Networks in the Lower Limb X-Ray Images
S Amiri, M Akbarabadi, S Rimaz, F Abdolali, R Ahadi, M Afshani, ...
Frontiers in Biomedical Technologies, 2023
2023
Implantation of mandible movement to assess bone anomalies based on registration of CT scan with cone beam.
S Amiri, F Abdolali, R Zoroofi
Iranian Conference on Biomedical Engineering (ICBME 24th), 2017
2017
Radiomics Model Based on Computed Tomography Images for Prediction of Radiation-Induced Optic Neuropathy Following Radiotherapy of Brain and Head and Neck Tumors
P Fadavi, S Amiri, S Cheraghi, M Garousi, M Nabavi, I Daneshi, M Gomar, ...
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