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Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries.
Tillmanns N, Lum AE, Cassinelli G, Merkaj S, Verma T, Zeevi T, Staib L, Subramanian H, Bahar RC, Brim W, Lost J, Jekel L, Brackett A, Payabvash S, Ikuta I, Lin M, Bousabarah K, Johnson MH, Cui J, Malhotra A, Omuro A, Turowski B, Aboian MS. Tillmanns N, et al. Neurooncol Adv. 2022 Jun 14;4(1):vdac093. doi: 10.1093/noajnl/vdac093. eCollection 2022 Jan-Dec. Neurooncol Adv. 2022. PMID: 36071926 Free PMC article. Review.
Trends in Development of Novel Machine Learning Methods for the Identification of Gliomas in Datasets That Include Non-Glioma Images: A Systematic Review.
Subramanian H, Dey R, Brim WR, Tillmanns N, Cassinelli Petersen G, Brackett A, Mahajan A, Johnson M, Malhotra A, Aboian M. Subramanian H, et al. Among authors: tillmanns n. Front Oncol. 2021 Dec 23;11:788819. doi: 10.3389/fonc.2021.788819. eCollection 2021. Front Oncol. 2021. PMID: 35004312 Free PMC article.
Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis.
Bahar RC, Merkaj S, Cassinelli Petersen GI, Tillmanns N, Subramanian H, Brim WR, Zeevi T, Staib L, Kazarian E, Lin M, Bousabarah K, Huttner AJ, Pala A, Payabvash S, Ivanidze J, Cui J, Malhotra A, Aboian MS. Bahar RC, et al. Among authors: tillmanns n. Front Oncol. 2022 Apr 22;12:856231. doi: 10.3389/fonc.2022.856231. eCollection 2022. Front Oncol. 2022. PMID: 35530302 Free PMC article.
Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction.
Lost J, Verma T, Jekel L, von Reppert M, Tillmanns N, Merkaj S, Petersen GC, Bahar R, Gordem A, Haider MA, Subramanian H, Brim W, Ikuta I, Omuro A, Conte GM, Marquez-Nostra BV, Avesta A, Bousabarah K, Nabavizadeh A, Kazerooni AF, Aneja S, Bakas S, Lin M, Sabel M, Aboian M. Lost J, et al. Among authors: tillmanns n. AJNR Am J Neuroradiol. 2023 Oct;44(10):1126-1134. doi: 10.3174/ajnr.A8000. AJNR Am J Neuroradiol. 2023. PMID: 37770204
Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial.
von Reppert M, Ramakrishnan D, Brüningk SC, Memon F, Abi Fadel S, Maleki N, Bahar R, Avesta AE, Jekel L, Sala M, Lost J, Tillmanns N, Kaur M, Aneja S, Fathi Kazerooni A, Nabavizadeh A, Lin M, Hoffmann KT, Bousabarah K, Swanson KR, Haas-Kogan D, Mueller S, Aboian MS. von Reppert M, et al. Among authors: tillmanns n. Neurooncol Adv. 2023 Dec 27;6(1):vdad172. doi: 10.1093/noajnl/vdad172. eCollection 2024 Jan-Dec. Neurooncol Adv. 2023. PMID: 38221978 Free PMC article.
Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas.
Tillmanns N, Lost J, Tabor J, Vasandani S, Vetsa S, Marianayagam N, Yalcin K, Erson-Omay EZ, von Reppert M, Jekel L, Merkaj S, Ramakrishnan D, Avesta A, de Oliveira Santo ID, Jin L, Huttner A, Bousabarah K, Ikuta I, Lin M, Aneja S, Turowski B, Aboian M, Moliterno J. Tillmanns N, et al. Sci Rep. 2023 Dec 22;13(1):22942. doi: 10.1038/s41598-023-48918-4. Sci Rep. 2023. PMID: 38135704 Free PMC article.