Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology-Reference-Cited by-同舟云学术

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Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology

Published:2021-04 Issue: Volume:18 Page:41-47
ISSN:2405-6316
Container-title:Physics and Imaging in Radiation Oncology
language:en
Short-container-title:Physics and Imaging in Radiation Oncology

Author:

Arrowsmith Colin,Reiazi Reza,Welch Mattea L.,Kazmierski Michal,Patel Tirth,Rezaie Aria,Tadic Tony,Bratman Scott,Haibe-Kains Benjamin

Funder

Princess Margaret Cancer Foundation

Canadian Institutes of Health Research

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Radiation

Reference17 articles.

1. A survey on deep learning in medical image analysis;Litjens;Med Image Anal,2017

2. Perspectives in radiomics for personalized medicine and theranostics;Ha;Nucl Med Mol Imaging,2019

3. Vulnerabilities of radiomic signature development: the need for safeguards;Welch;Radiother Oncol,2018

4. Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis;Ger;Comput Med Imaging Graph,2018

5. External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma;Leijenaar;Acta Oncol,2015

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1. Radiomic feature robustness in CT scans affected by fiducial marker induced streak artifacts for patients with hepatocellular carcinoma;Medical Physics;2024-07-24

2. 3D Dental Reconstruction with Photogrammetry Technology;2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2023-10-25

3. Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study;BMC Medical Imaging;2023-08-08

4. Effect of Radiation Therapy Quality Assurance on Nasopharyngeal Carcinoma: Usage of a Novel, Web-Based Quality Assurance Application;Practical Radiation Oncology;2023-07

5. Assessing the generalisability of radiomics features previously identified as predictive of radiation-induced sticky saliva and xerostomia;Physics and Imaging in Radiation Oncology;2023-01

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