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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. Among authors: staib l. 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.
Machine Learning Applications for Differentiation of Glioma from Brain Metastasis-A Systematic Review.
Jekel L, Brim WR, von Reppert M, Staib L, Cassinelli Petersen G, Merkaj S, Subramanian H, Zeevi T, Payabvash S, Bousabarah K, Lin M, Cui J, Brackett A, Mahajan A, Omuro A, Johnson MH, Chiang VL, Malhotra A, Scheffler B, Aboian MS. Jekel L, et al. Among authors: staib l. Cancers (Basel). 2022 Mar 8;14(6):1369. doi: 10.3390/cancers14061369. Cancers (Basel). 2022. PMID: 35326526 Free PMC article. Review.
Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment.
Cassinelli Petersen GI, Shatalov J, Verma T, Brim WR, Subramanian H, Brackett A, Bahar RC, Merkaj S, Zeevi T, Staib LH, Cui J, Omuro A, Bronen RA, Malhotra A, Aboian MS. Cassinelli Petersen GI, et al. Among authors: staib lh. AJNR Am J Neuroradiol. 2022 Apr;43(4):526-533. doi: 10.3174/ajnr.A7473. Epub 2022 Mar 31. AJNR Am J Neuroradiol. 2022. PMID: 35361577 Free PMC article.
MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features.
Petukhova-Greenstein A, Zeevi T, Yang J, Chai N, DiDomenico P, Deng Y, Ciarleglio M, Haider SP, Onyiuke I, Malpani R, Lin M, Kucukkaya AS, Gottwald LA, Gebauer B, Revzin M, Onofrey J, Staib L, Gunabushanam G, Taddei T, Chapiro J. Petukhova-Greenstein A, et al. Among authors: staib l. J Vasc Interv Radiol. 2022 Jul;33(7):814-824.e3. doi: 10.1016/j.jvir.2022.04.006. Epub 2022 Apr 20. J Vasc Interv Radiol. 2022. PMID: 35460887 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: staib l. Front Oncol. 2022 Apr 22;12:856231. doi: 10.3389/fonc.2022.856231. eCollection 2022. Front Oncol. 2022. PMID: 35530302 Free PMC article.
Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study.
Iseke S, Zeevi T, Kucukkaya AS, Raju R, Gross M, Haider SP, Petukhova-Greenstein A, Kuhn TN, Lin M, Nowak M, Cooper K, Thomas E, Weber MA, Madoff DC, Staib L, Batra R, Chapiro J. Iseke S, et al. Among authors: staib l. AJR Am J Roentgenol. 2023 Feb;220(2):245-255. doi: 10.2214/AJR.22.28077. Epub 2022 Aug 17. AJR Am J Roentgenol. 2023. PMID: 35975886 Free PMC article.
Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning.
Kucukkaya AS, Zeevi T, Chai NX, Raju R, Haider SP, Elbanan M, Petukhova-Greenstein A, Lin M, Onofrey J, Nowak M, Cooper K, Thomas E, Santana J, Gebauer B, Mulligan D, Staib L, Batra R, Chapiro J. Kucukkaya AS, et al. Among authors: staib l. Sci Rep. 2023 May 10;13(1):7579. doi: 10.1038/s41598-023-34439-7. Sci Rep. 2023. PMID: 37165035 Free PMC article.
252 results