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RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models.
Maleki F, Moy L, Forghani R, Ghosh T, Ovens K, Langer S, Rouzrokh P, Khosravi B, Ganjizadeh A, Warren D, Daneshjou R, Moassefi M, Avval AH, Sotardi S, Tenenholtz N, Kitamura F, Kline T. Maleki F, et al. Among authors: kline t. J Imaging Inform Med. 2024 Nov 18. doi: 10.1007/s10278-024-01282-9. Online ahead of print. J Imaging Inform Med. 2024. PMID: 39557736
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: kline t. 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 Free PMC article. Review.
Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.
Gottlich HC, Gregory AV, Sharma V, Khanna A, Moustafa AU, Lohse CM, Potretzke TA, Korfiatis P, Potretzke AM, Denic A, Rule AD, Takahashi N, Erickson BJ, Leibovich BC, Kline TL. Gottlich HC, et al. J Digit Imaging. 2023 Aug;36(4):1770-1781. doi: 10.1007/s10278-023-00804-1. Epub 2023 Mar 17. J Digit Imaging. 2023. PMID: 36932251 Free PMC article.
Toolkits and Libraries for Deep Learning.
Erickson BJ, Korfiatis P, Akkus Z, Kline T, Philbrick K. Erickson BJ, et al. Among authors: kline t. J Digit Imaging. 2017 Aug;30(4):400-405. doi: 10.1007/s10278-017-9965-6. J Digit Imaging. 2017. PMID: 28315069 Free PMC article. Review.
368 results