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Year Number of Results
2020 4
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2022 16
2023 16
2024 8

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Page 1
Quantifying Uncertainty in Deep Learning of Radiologic Images.
Faghani S, Moassefi M, Rouzrokh P, Khosravi B, Baffour FI, Ringler MD, Erickson BJ. Faghani S, et al. Among authors: rouzrokh p. Radiology. 2023 Aug;308(2):e222217. doi: 10.1148/radiol.222217. Radiology. 2023. PMID: 37526541 Review.
Explaining explainability: The role of XAI in medical imaging.
Abrantes J, Rouzrokh P. Abrantes J, et al. Among authors: rouzrokh p. Eur J Radiol. 2024 Apr;173:111389. doi: 10.1016/j.ejrad.2024.111389. Epub 2024 Feb 23. Eur J Radiol. 2024. PMID: 38422609 No abstract available.
Machine Learning and Deep Learning in Cardiothoracic Imaging: A Scoping Review.
Khosravi B, Rouzrokh P, Faghani S, Moassefi M, Vahdati S, Mahmoudi E, Chalian H, Erickson BJ. Khosravi B, et al. Among authors: rouzrokh p. Diagnostics (Basel). 2022 Oct 17;12(10):2512. doi: 10.3390/diagnostics12102512. Diagnostics (Basel). 2022. PMID: 36292201 Free PMC article. Review.
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.
Moassefi M, Rouzrokh P, Conte GM, Vahdati S, Fu T, Tahmasebi A, Younis M, Farahani K, Gentili A, Kline T, Kitamura FC, Huo Y, Kuanar S, Younis K, Erickson BJ, Faghani S. Moassefi M, et al. Among authors: rouzrokh p. J Digit Imaging. 2023 Oct;36(5):2306-2312. doi: 10.1007/s10278-023-00870-5. Epub 2023 Jul 5. J Digit Imaging. 2023. PMID: 37407841 Review.
Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics.
Faghani S, Khosravi B, Zhang K, Moassefi M, Jagtap JM, Nugen F, Vahdati S, Kuanar SP, Rassoulinejad-Mousavi SM, Singh Y, Vera Garcia DV, Rouzrokh P, Erickson BJ. Faghani S, et al. Among authors: rouzrokh p. Radiol Artif Intell. 2022 Aug 24;4(5):e220061. doi: 10.1148/ryai.220061. eCollection 2022 Sep. Radiol Artif Intell. 2022. PMID: 36204539 Free PMC article.
40 results