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Page 1
Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values.
Bonekamp D, Kohl S, Wiesenfarth M, Schelb P, Radtke JP, Götz M, Kickingereder P, Yaqubi K, Hitthaler B, Gählert N, Kuder TA, Deister F, Freitag M, Hohenfellner M, Hadaschik BA, Schlemmer HP, Maier-Hein KH. Bonekamp D, et al. Among authors: schelb p. Radiology. 2018 Oct;289(1):128-137. doi: 10.1148/radiol.2018173064. Epub 2018 Jul 31. Radiology. 2018. PMID: 30063191
Fully Automatic Deep Learning in Bi-institutional Prostate Magnetic Resonance Imaging: Effects of Cohort Size and Heterogeneity.
Netzer N, Weißer C, Schelb P, Wang X, Qin X, Görtz M, Schütz V, Radtke JP, Hielscher T, Schwab C, Stenzinger A, Kuder TA, Gnirs R, Hohenfellner M, Schlemmer HP, Maier-Hein KH, Bonekamp D. Netzer N, et al. Among authors: schelb p. Invest Radiol. 2021 Dec 1;56(12):799-808. doi: 10.1097/RLI.0000000000000791. Invest Radiol. 2021. PMID: 34049336
Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibration.
Zhang KS, Schelb P, Netzer N, Tavakoli AA, Keymling M, Wehrse E, Hog R, Rotkopf LT, Wennmann M, Glemser PA, Thierjung H, von Knebel Doeberitz N, Kleesiek J, Görtz M, Schütz V, Hielscher T, Stenzinger A, Hohenfellner M, Schlemmer HP, Maier-Hein K, Bonekamp D. Zhang KS, et al. Among authors: schelb p. Invest Radiol. 2022 Sep 1;57(9):601-612. doi: 10.1097/RLI.0000000000000878. Epub 2022 Apr 21. Invest Radiol. 2022. PMID: 35467572