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Machine Learning-based Prognostic Subgrouping of Glioblastoma: A Multi-center Study.
Akbari H, Bakas S, Sako C, Fathi Kazerooni A, Villanueva-Meyer J, Garcia JA, Mamourian E, Liu F, Cao Q, Shinohara RT, Baid U, Getka A, Pati S, Singh A, Calabrese E, Chang S, Rudie J, Sotiras A, LaMontagne P, Marcus DS, Milchenko M, Nazeri A, Balana C, Capellades J, Puig J, Badve C, Barnholtz-Sloan JS, Sloan AE, Vadmal V, Waite K, Ak M, Colen RR, Park YW, Ahn SS, Chang JH, Choi YS, Lee SK, Alexander GS, Ali AS, Dicker AP, Flanders AE, Liem S, Lombardo J, Shi W, Shukla G, Griffith B, Poisson LM, Rogers LR, Kotrotsou A, Booth TC, Jain R, Lee M, Mahajan A, Chakravarti A, Palmer JD, DiCostanzo D, Fathallah-Shaykh H, Cepeda S, Santonocito OS, Di Stefano AL, Wiestler B, Melhem ER, Woodworth GF, Tiwari P, Valdes P, Matsumoto Y, Otani Y, Imoto R, Aboian M, Koizumi S, Kurozumi K, Kawakatsu T, Alexander K, Satgunaseelan L, Rulseh AM, Bagley SJ, Bilello M, Binder ZA, Brem S, Desai AS, Lustig RA, Maloney E, Prior T, Amankulor N, Nasrallah MLP, O'Rourke DM, Mohan S, Davatzikos C; ReSPOND consortium. Akbari H, et al. Among authors: cepeda s. Neuro Oncol. 2024 Dec 12:noae260. doi: 10.1093/neuonc/noae260. Online ahead of print. Neuro Oncol. 2024. PMID: 39665363
Predicting peritumoral glioblastoma infiltration and subsequent recurrence using deep-learning-based analysis of multi-parametric magnetic resonance imaging.
Kwak S, Akbari H, Garcia JA, Mohan S, Dicker Y, Sako C, Matsumoto Y, Nasrallah MP, Shalaby M, O'Rourke DM, Shinohara RT, Liu F, Badve C, Barnholtz-Sloan JS, Sloan AE, Lee M, Jain R, Cepeda S, Chakravarti A, Palmer JD, Dicker AP, Shukla G, Flanders AE, Shi W, Woodworth GF, Davatzikos C. Kwak S, et al. Among authors: cepeda s. J Med Imaging (Bellingham). 2024 Sep;11(5):054001. doi: 10.1117/1.JMI.11.5.054001. Epub 2024 Aug 30. J Med Imaging (Bellingham). 2024. PMID: 39220048
Deep learning-based postoperative glioblastoma segmentation and extent of resection evaluation: Development, external validation, and model comparison.
Cepeda S, Romero R, Luque L, García-Pérez D, Blasco G, Luppino LT, Kuttner S, Esteban-Sinovas O, Arrese I, Solheim O, Eikenes L, Karlberg A, Pérez-Núñez Á, Zanier O, Serra C, Staartjes VE, Bianconi A, Rossi LF, Garbossa D, Escudero T, Hornero R, Sarabia R. Cepeda S, et al. Neurooncol Adv. 2024 Nov 16;6(1):vdae199. doi: 10.1093/noajnl/vdae199. eCollection 2024 Jan-Dec. Neurooncol Adv. 2024. PMID: 39659831 Free PMC article.
Machine Learning and Radiomics in Gliomas.
Cepeda S. Cepeda S. Adv Exp Med Biol. 2024;1462:231-243. doi: 10.1007/978-3-031-64892-2_14. Adv Exp Med Biol. 2024. PMID: 39523269 Review.
Comparison of Intraoperative Ultrasound B-Mode and Strain Elastography for the Differentiation of Glioblastomas From Solitary Brain Metastases. An Automated Deep Learning Approach for Image Analysis.
Cepeda S, García-García S, Arrese I, Fernández-Pérez G, Velasco-Casares M, Fajardo-Puentes M, Zamora T, Sarabia R. Cepeda S, et al. Front Oncol. 2021 Feb 2;10:590756. doi: 10.3389/fonc.2020.590756. eCollection 2020. Front Oncol. 2021. PMID: 33604286 Free PMC article.
Predicting Short-Term Survival after Gross Total or Near Total Resection in Glioblastomas by Machine Learning-Based Radiomic Analysis of Preoperative MRI.
Cepeda S, Pérez-Nuñez A, García-García S, García-Pérez D, Arrese I, Jiménez-Roldán L, García-Galindo M, González P, Velasco-Casares M, Zamora T, Sarabia R. Cepeda S, et al. Cancers (Basel). 2021 Oct 9;13(20):5047. doi: 10.3390/cancers13205047. Cancers (Basel). 2021. PMID: 34680199 Free PMC article.
130 results