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Azadeh Akhavanallaf
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2020 – today
- 2024
- [j4]Isaac Shiri, Yazdan Salimi, Abdollah Saberi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Azadeh Akhavanallaf, Shayan Mostafaei, Zahra Mansouri, Dariush Askari
, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study. Int. J. Imaging Syst. Technol. 34(2) (2024) - 2022
- [j3]Isaac Shiri
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients. Comput. Biol. Medicine 145: 105467 (2022) - [j2]Isaac Shiri
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images. Int. J. Imaging Syst. Technol. 32(1): 12-25 (2022) - [c1]Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI 2022: 1-30 - 2021
- [j1]Azadeh Akhavanallaf, Reza Mohammadi
Personalized brachytherapy dose reconstruction using deep learning. Comput. Biol. Medicine 136: 104755 (2021)
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last updated on 2024-10-07 21:24 CEST by the dblp team
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