Roadmap on Deep Learning for Microscopy.
Volpe G, Wählby C, Tian L, Hecht M, Yakimovich A, Monakhova K, Waller L, Sbalzarini IF, Metzler CA, Xie M, Zhang K, Lenton ICD, Rubinsztein-Dunlop H, Brunner D, Bai B, Ozcan A, Midtvedt D, Wang H, Sladoje N, Lindblad J, Smith JT, Ochoa M, Barroso M, Intes X, Qiu T, Yu LY, You S, Liu Y, Ziatdinov MA, Kalinin SV, Sheridan A, Manor U, Nehme E, Goldenberg O, Shechtman Y, Moberg HK, Langhammer C, Špačková B, Helgadottir S, Midtvedt B, Argun A, Thalheim T, Cichos F, Bo S, Hubatsch L, Pineda J, Manzo C, Bachimanchi H, Selander E, Homs-Corbera A, Fränzl M, de Haan K, Rivenson Y, Korczak Z, Adiels CB, Mijalkov M, Veréb D, Chang YW, Pereira JB, Matuszewski D, Kylberg G, Sintorn IM, Caicedo JC, Cimini BA, Bell MAL, Saraiva BM, Jacquemet G, Henriques R, Ouyang W, Le T, Gómez-de-Mariscal E, Sage D, Muñoz-Barrutia A, Lindqvist EJ, Bergman J.
Volpe G, et al. Among authors: hecht m.
ArXiv [Preprint]. 2023 Mar 7:arXiv:2303.03793v1.
ArXiv. 2023.
PMID: 36945686
Free PMC article.
Preprint.
