2020
Sinjab F., Hashimoto K., Zhao X., Nagashima Y., Ideguchi T. (2020) Enhanced spectral resolution for broadband coherent anti-Stokes Raman spectroscopy. Opt. Lett., 45 (6): 1515-1518.
doi: 10.1364/OL.388624.
2019
Sato K., Nagashima Y., Mano T., Iwata A., Toda T. (2019) Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning-based 2D pose estimator. PLoS ONE 14 (11): e0223549.
doi: 10.1371/journal.pone.0223549.
Sato K., Iwata A., Kurihara M., Nagashima Y., Mano T., Toda T. (2019) Estimating acceleration time point of respiratory decline in ALS patients: A novel metric. J. Neurol. Sci., 403: 7-12.
doi: 10.1016/j.jns.2019.05.031.
Toda K., Tamamitsu M., Nagashima Y., Horisaki R., Ideguchi T. (2019) Molecular contrast on phase-contrast microscope. Sci Rep. 9 (1): 9957.
doi: 10.1038/s41598-019-46383-6.
2018
Higashihara M., Sonoo M., Ishiyama A., Nagashima Y., Matsumoto K., Uesugi H., Mori-Yoshimura M., Murata M., Murayama S., Komaki H. (2018) Quantitative Analysis of Surface Electromyography for Pediatric Neuromuscular Disorders. Muscle Nerve. 58 (6): 824-827.
doi: 10.1002/mus.26299.
長島 優, 橋本 和樹, 大間知潤子, 井手口拓郎 (2018) 創薬における超高速ラマン分光法の活用, 光アライアンス, 29 (6): 21-26.
2017
Naito T., Nagashima Y., Taira K., Uchio N., Tsuji S., Shimizu J. (2017) Identification and segmentation of myelinated nerve fibers in a cross-sectional optical microscopic image using a deep learning model. J. Neurosci. Methods, 291: 141-149.
doi:10.1016/j.jneumeth.2017.08.014.
Ikenaga C., Kubota A., Kadoya M., Taira K., Uchio N., Hida A., Maeda M.H., Nagashima Y., Ishiura H., Kaida K., Goto J., Tsuji S., Shimizu J. (2017) Clinicopathologic features of myositis patients with CD8-MHC-1 complex pathology. Neurology, 89 (10): 1060-1068.
doi:10.1212/WNL.0000000000004333.
