Deep Active Learning Model for Adaptive PET Attenuation and Scatter Correction in Multi-Centric Studies-Reference-Cited by-同舟云学术

Deep Active Learning Model for Adaptive PET Attenuation and Scatter Correction in Multi-Centric Studies

Published:2021-10-16 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
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Author:

Shiri Isaac¹,Sanaat Amirhossein¹,Jafari Esmail²,Samimi Rezvan³,Khateri Maziar⁴,Sheikhzadeh Peyman⁵,Geramifar Parham⁶,Dadgar Habibollah⁷,Arabi Hossein¹,Assadi Majid²,Uribe Carlos⁸,Rahmim Arman⁹,Zaidi Habib¹

Affiliation:

1. Geneva University Hospital,Division of Nuclear Medicine and Molecular Imaging,Department of Medical Imaging,Switzerland,CH-1211 Geneva 4

2. Bushehr Medical University Hospital,The Persian Gulf Nuclear Medicine Research Center,Department of Molecular Imaging and Radionuclide Therapy,Bushehr,Iran

3. Shahid Beheshti University,Department of Medical Radiation Engineering,Tehran,Iran

4. Islamic Azad University,Department of Medical Radiation Engineering, Science and Research Branch

5. Tehran University of Medical Sciences,Imam Khomeini Hospital Complex,Department of Nuclear Medicine,Tehran,Iran

6. Tehran University of Medical Sciences,Research Center for Nuclear Medicine, Shariati Hospital,Tehran,Iran

7. Imam Reza International University,Cancer Research Center, Razavi Hospital,Mashhad,Iran

8. University of British Columbia; Functional Imaging, BC Cancer,Department of Radiology,Canada

9. University of British Columbia,Department of Radiology,Vancouver,Canada

Funder

National Science Foundation

University Hospitals

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9875398/9875424/09875845.pdf?arnumber=9875845

Reference17 articles.

1. Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging

2. DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms

3. COLI‐Net : Deep learning‐assisted fully automated COVID ‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images

4. Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms

5. Deep-fill: Deep learning based sinogram domain gap filling in positron emission tomography;shiri,2019

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