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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. Among authors: rossi lf. 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.
Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment.
Bianconi A, Rossi LF, Bonada M, Zeppa P, Nico E, De Marco R, Lacroce P, Cofano F, Bruno F, Morana G, Melcarne A, Ruda R, Mainardi L, Fiaschi P, Garbossa D, Morra L. Bianconi A, et al. Among authors: rossi lf. Brain Inform. 2023 Oct 6;10(1):26. doi: 10.1186/s40708-023-00207-6. Brain Inform. 2023. PMID: 37801128 Free PMC article.
Ultra-high density electrodes improve detection, yield, and cell type identification in neuronal recordings.
Ye Z, Shelton AM, Shaker JR, Boussard J, Colonell J, Birman D, Manavi S, Chen S, Windolf C, Hurwitz C, Namima T, Pedraja F, Weiss S, Raducanu B, Ness TV, Jia X, Mastroberardino G, Rossi LF, Carandini M, Häusser M, Einevoll GT, Laurent G, Sawtell NB, Bair W, Pasupathy A, Lopez CM, Dutta B, Paninski L, Siegle JH, Koch C, Olsen SR, Harris TD, Steinmetz NA. Ye Z, et al. Among authors: rossi lf. bioRxiv [Preprint]. 2024 Apr 10:2023.08.23.554527. doi: 10.1101/2023.08.23.554527. bioRxiv. 2024. PMID: 37662298 Free PMC article. Preprint.
40 results