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The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.
Zwanenburg A, Vallières M, Abdalah MA, Aerts HJWL, Andrearczyk V, Apte A, Ashrafinia S, Bakas S, Beukinga RJ, Boellaard R, Bogowicz M, Boldrini L, Buvat I, Cook GJR, Davatzikos C, Depeursinge A, Desseroit MC, Dinapoli N, Dinh CV, Echegaray S, El Naqa I, Fedorov AY, Gatta R, Gillies RJ, Goh V, Götz M, Guckenberger M, Ha SM, Hatt M, Isensee F, Lambin P, Leger S, Leijenaar RTH, Lenkowicz J, Lippert F, Losnegård A, Maier-Hein KH, Morin O, Müller H, Napel S, Nioche C, Orlhac F, Pati S, Pfaehler EAG, Rahmim A, Rao AUK, Scherer J, Siddique MM, Sijtsema NM, Socarras Fernandez J, Spezi E, Steenbakkers RJHM, Tanadini-Lang S, Thorwarth D, Troost EGC, Upadhaya T, Valentini V, van Dijk LV, van Griethuysen J, van Velden FHP, Whybra P, Richter C, Löck S. Zwanenburg A, et al. Among authors: gotz m. Radiology. 2020 May;295(2):328-338. doi: 10.1148/radiol.2020191145. Epub 2020 Mar 10. Radiology. 2020. PMID: 32154773 Free PMC article.
Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography.
Bickelhaupt S, Paech D, Kickingereder P, Steudle F, Lederer W, Daniel H, Götz M, Gählert N, Tichy D, Wiesenfarth M, Laun FB, Maier-Hein KH, Schlemmer HP, Bonekamp D. Bickelhaupt S, et al. Among authors: gotz m. J Magn Reson Imaging. 2017 Aug;46(2):604-616. doi: 10.1002/jmri.25606. Epub 2017 Feb 2. J Magn Reson Imaging. 2017. PMID: 28152264
Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma.
Kickingereder P, Neuberger U, Bonekamp D, Piechotta PL, Götz M, Wick A, Sill M, Kratz A, Shinohara RT, Jones DTW, Radbruch A, Muschelli J, Unterberg A, Debus J, Schlemmer HP, Herold-Mende C, Pfister S, von Deimling A, Wick W, Capper D, Maier-Hein KH, Bendszus M. Kickingereder P, et al. Among authors: gotz m. Neuro Oncol. 2018 May 18;20(6):848-857. doi: 10.1093/neuonc/nox188. Neuro Oncol. 2018. PMID: 29036412 Free PMC article.
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: gotz m. Radiology. 2018 Oct;289(1):128-137. doi: 10.1148/radiol.2018173064. Epub 2018 Jul 31. Radiology. 2018. PMID: 30063191
Pre-examinations Improve Automated Metastases Detection on Cranial MRI.
Deike-Hofmann K, Dancs D, Paech D, Schlemmer HP, Maier-Hein K, Bäumer P, Radbruch A, Götz M. Deike-Hofmann K, et al. Among authors: gotz m. Invest Radiol. 2021 May 1;56(5):320-327. doi: 10.1097/RLI.0000000000000745. Invest Radiol. 2021. PMID: 33259442
Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Marrow Characterization From Whole-Body MRI: A Multicentric Feasibility Study.
Wennmann M, Klein A, Bauer F, Chmelik J, Grözinger M, Uhlenbrock C, Lochner J, Nonnenmacher T, Rotkopf LT, Sauer S, Hielscher T, Götz M, Floca RO, Neher P, Bonekamp D, Hillengass J, Kleesiek J, Weinhold N, Weber TF, Goldschmidt H, Delorme S, Maier-Hein K, Schlemmer HP. Wennmann M, et al. Among authors: gotz m. Invest Radiol. 2022 Nov 1;57(11):752-763. doi: 10.1097/RLI.0000000000000891. Epub 2022 May 27. Invest Radiol. 2022. PMID: 35640004
811 results