Patterns of practice of adaptive re-planning for anatomic variances during cone-beam CT guided radiotherapy
2019 · Technical Innovations & Patient Support in Radiation Oncology · 29 citations
https://doi.org/10.1016/j.tipsro.2019.10.003
T
Tony Tadic
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145
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605
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13
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16
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Tony Tadic is an academic researcher from University of Toronto. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Advanced Radiotherapy Techniques & Artificial Intelligence in Healthcare and Education. The author has an h-index of 13, co-authored 124 publications.
ORCID: 0000-0001-7797-2893Papers by this author
worksPractical Considerations for the Implementation of a Stereotactic Body Radiation Therapy Program for Oligo-Metastases
2020 · Advances in Radiation Oncology · 8 citations
https://doi.org/10.1016/j.adro.2020.06.004
Reirradiation for recurrent craniopharyngioma
2020 · Advances in Radiation Oncology · 8 citations
https://doi.org/10.1016/j.adro.2020.07.020
Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology
2021 · Physics and Imaging in Radiation Oncology · 8 citations
https://doi.org/10.1016/j.phro.2021.04.001
Clinical and dosimetric outcomes of image-guided, dose-painted radiotherapy in muscle invasive bladder cancer
2023 · Radiation Oncology · 3 citations
https://doi.org/10.1186/s13014-023-02338-w
Machine learning automated treatment planning for online magnetic resonance guided adaptive radiotherapy of prostate cancer
2024 · Physics and Imaging in Radiation Oncology · 3 citations
https://doi.org/10.1016/j.phro.2024.100649
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