DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms-Reference-Cited by-同舟云学术

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

Published:2021-12 Issue: Volume:245 Page:118697
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Sanaat Amirhossein,Shooli Hossein,Ferdowsi Sohrab,Shiri Isaac,Arabi Hossein,Zaidi Habib

Funder

Swiss National Science Foundation

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference35 articles.

1. Whole-body voxel-based internal dosimetry using deep learning;Akhavanallaf;Eur. J. Nucl. Med. Mol. Imaging,2021

2. The promise of artificial intelligence and deep learning in PET and SPECT imaging;Arabi;Phys. Med.,2021

3. Deep learning-guided joint attenuation and scatter correction in multitracer neuroimaging studies;Arabi;Hum. Brain Mapp.,2020

4. Improvement of image quality in PET using post-reconstruction hybrid spatial-frequency domain filtering;Arabi;Phys. Med. Biol.,2018

5. Spatially guided nonlocal mean approach for denoising of PET images;Arabi;Med. Phys.,2020

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1. Classification of Breast Lesions Using Mammary Sinograms and Deep Learning;Lecture Notes in Computer Science;2024

2. Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space;Computer Methods and Programs in Biomedicine;2024-01

3. Self-supervised deep learning for joint 3D low-dose PET/CT image denoising;Computers in Biology and Medicine;2023-10

4. Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance;Zeitschrift für Medizinische Physik;2023-03

5. Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning;European Journal of Nuclear Medicine and Molecular Imaging;2022-12-12

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