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Azadeh Akhavanallaf

Showing results (21-30 of 24) with videos related to

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International Journal of Imaging Systems and Technology|December 13, 2021
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography imagesIsaac Shiri, Hossein Arabi, Yazdan Salimi, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 22, 2025
Can <sup>177</sup>Lu-DOTATATE Kidney Absorbed Doses be Predicted from Pretherapy SSTR PET? Findings from Multicenter DataAzadeh Akhavanallaf, Zhonglin Lu, Avery B Peterson, et al.
Head and Neck Tumor Segmentation and Outcome Prediction : Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Head and Neck Tumor Segmentation Challenge (3Rd : 2022 : Singapor|May 17, 2023
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CTVincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, et al.
Computers in Biology and Medicine|April 4, 2022
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patientsIsaac Shiri, Yazdan Salimi, Masoumeh Pakbin, et al.
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Showing results (21-30 of 24) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 24 results.
International Journal of Imaging Systems and Technology|December 13, 2021
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography imagesIsaac Shiri, Hossein Arabi, Yazdan Salimi, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 22, 2025
Can <sup>177</sup>Lu-DOTATATE Kidney Absorbed Doses be Predicted from Pretherapy SSTR PET? Findings from Multicenter DataAzadeh Akhavanallaf, Zhonglin Lu, Avery B Peterson, et al.
Head and Neck Tumor Segmentation and Outcome Prediction : Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Head and Neck Tumor Segmentation Challenge (3Rd : 2022 : Singapor|May 17, 2023
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CTVincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, et al.
Computers in Biology and Medicine|April 4, 2022
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patientsIsaac Shiri, Yazdan Salimi, Masoumeh Pakbin, et al.
Pageof 3