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The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.
Whybra P, Zwanenburg A, Andrearczyk V, Schaer R, Apte AP, Ayotte A, Baheti B, Bakas S, Bettinelli A, Boellaard R, Boldrini L, Buvat I, Cook GJR, Dietsche F, Dinapoli N, Gabryś HS, Goh V, Guckenberger M, Hatt M, Hosseinzadeh M, Iyer A, Lenkowicz J, Loutfi MAL, Löck S, Marturano F, Morin O, Nioche C, Orlhac F, Pati S, Rahmim A, Rezaeijo SM, Rookyard CG, Salmanpour MR, Schindele A, Shiri I, Spezi E, Tanadini-Lang S, Tixier F, Upadhaya T, Valentini V, van Griethuysen JJM, Yousefirizi F, Zaidi H, Müller H, Vallières M, Depeursinge A. Whybra P, et al. Among authors: lock s. Radiology. 2024 Feb;310(2):e231319. doi: 10.1148/radiol.231319. Radiology. 2024. PMID: 38319168 Review.
Why validation of prognostic models matters?
Zwanenburg A, Löck S. Zwanenburg A, et al. Among authors: lock s. Radiother Oncol. 2018 Jun;127(3):370-373. doi: 10.1016/j.radonc.2018.03.004. Epub 2018 Mar 26. Radiother Oncol. 2018. PMID: 29598835
Assessing robustness of radiomic features by image perturbation.
Zwanenburg A, Leger S, Agolli L, Pilz K, Troost EGC, Richter C, Löck S. Zwanenburg A, et al. Among authors: lock s. Sci Rep. 2019 Jan 24;9(1):614. doi: 10.1038/s41598-018-36938-4. Sci Rep. 2019. PMID: 30679599 Free PMC article.
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: lock s. Radiology. 2020 May;295(2):328-338. doi: 10.1148/radiol.2020191145. Epub 2020 Mar 10. Radiology. 2020. PMID: 32154773 Free PMC article.
Comparison of patient stratification by computed tomography radiomics and hypoxia positron emission tomography in head-and-neck cancer radiotherapy.
Socarrás Fernández JA, Mönnich D, Leibfarth S, Welz S, Zwanenburg A, Leger S, Löck S, Pfannenberg C, La Fougère C, Reischl G, Baumann M, Zips D, Thorwarth D. Socarrás Fernández JA, et al. Among authors: lock s. Phys Imaging Radiat Oncol. 2020 Jul;15:52-59. doi: 10.1016/j.phro.2020.07.003. Phys Imaging Radiat Oncol. 2020. PMID: 33043157 Free PMC article.
An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication.
Morin O, Vallières M, Braunstein S, Ginart JB, Upadhaya T, Woodruff HC, Zwanenburg A, Chatterjee A, Villanueva-Meyer JE, Valdes G, Chen W, Hong JC, Yom SS, Solberg TD, Löck S, Seuntjens J, Park C, Lambin P. Morin O, et al. Among authors: lock s. Nat Cancer. 2021 Jul;2(7):709-722. doi: 10.1038/s43018-021-00236-2. Epub 2021 Jul 22. Nat Cancer. 2021. PMID: 35121948
Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models.
Shahzadi I, Zwanenburg A, Lattermann A, Linge A, Baldus C, Peeken JC, Combs SE, Diefenhardt M, Rödel C, Kirste S, Grosu AL, Baumann M, Krause M, Troost EGC, Löck S. Shahzadi I, et al. Among authors: lock s. Sci Rep. 2022 Jun 17;12(1):10192. doi: 10.1038/s41598-022-13967-8. Sci Rep. 2022. PMID: 35715462 Free PMC article.
412 results