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Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients.
Traverso A, Kazmierski M, Welch ML, Weiss J, Fiset S, Foltz WD, Gladwish A, Dekker A, Jaffray D, Wee L, Han K. Traverso A, et al. Among authors: kazmierski m. Radiother Oncol. 2020 Feb;143:88-94. doi: 10.1016/j.radonc.2019.08.008. Epub 2019 Aug 30. Radiother Oncol. 2020. PMID: 31477335 Free article.
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics.
Kazmierski M, Welch M, Kim S, McIntosh C, Rey-McIntyre K, Huang SH, Patel T, Tadic T, Milosevic M, Liu FF, Ryczkowski A, Kazmierska J, Ye Z, Plana D, Aerts HJWL, Kann BH, Bratman SV, Hope AJ, Haibe-Kains B. Kazmierski M, et al. Cancer Res Commun. 2023 Jun 29;3(6):1140-1151. doi: 10.1158/2767-9764.CRC-22-0152. eCollection 2023 Jun. Cancer Res Commun. 2023. PMID: 37397861 Free PMC article.
The Auto-Lindberg Project: Standardized Target Nomenclature in Radiation Oncology Enables Real-World Data Extraction From Radiation Treatment Plans.
Hope A, Kim JW, Kazmierski M, Welch M, Marsilla J, Huang SH, Hosni A, Tadic T, Patel T, Haibe-Kains B, Waldron J, O'Sullivan B, Bratman S. Hope A, et al. Among authors: kazmierski m. Int J Radiat Oncol Biol Phys. 2024 Jan 1;118(1):268-274. doi: 10.1016/j.ijrobp.2023.08.018. Epub 2023 Aug 21. Int J Radiat Oncol Biol Phys. 2024. PMID: 37611810 No abstract available.
RADCURE: An open-source head and neck cancer CT dataset for clinical radiation therapy insights.
Welch ML, Kim S, Hope AJ, Huang SH, Lu Z, Marsilla J, Kazmierski M, Rey-McIntyre K, Patel T, O'Sullivan B, Waldron J, Bratman S, Haibe-Kains B, Tadic T; Princess Margaret Head and Neck Site Group. Welch ML, et al. Among authors: kazmierski m. Med Phys. 2024 Apr;51(4):3101-3109. doi: 10.1002/mp.16972. Epub 2024 Feb 16. Med Phys. 2024. PMID: 38362943
57 results